Request a consultation →
Cross-system decision intelligence

Connect your systems.
Improve every decision.

POLx°IMAT is a modular product for Big Production Solutions in Enterprise and Corporate for bringing operational data, decision support and human-governed as well as Intelligent Agents AHIS automation together — from update to complex industrial integration solutions.

Explore a pilot →Discover capabilities ↓

SaaS · FaaS (Function-as-a-Service) · Enterprise architecture

Who is POLx°IMAT for?

Built around your business — not the other way around.

Choose an organization type to explore a relevant starting point.

More clarity for lean teams.

Connect fragmented workflows and focus people on decisions that matter, without proposing a complete software replacement.

  • Visibility across existing business tools
  • Decision support for daily operations
  • Approval-led process automation
Discuss your use case →
SME / MITTELSTAND

Signals → context → options → human decision

◇ ⇄ ◎
Illustrative concept — not a live application
POLx°IMAT / Industrial Intelligence / V7

Built around your business — not the other way around.

Explore realistic-looking interface concepts, sector by sector. Each laptop view illustrates the workflow, agent responsibilities, source integrations and distinct client, engineering and POLx°IMAT administration views.

01
FABRIC / MANUFACTURING · Sector control room

Industrial control from shop floor to boardroom

Connected inputs → translation → specialist agents → constrained optimization → approval → audit.

● POLx°IMAT / DEMONSTRATION DEVICE ●
FABRIC / MANUFACTURING / Control CenterKW 44 · SYNTHETIC DEMO
▣Raw materials
→
◈Mixing
→
⚙Processing
→
◇Quality
→
▤Packaging
→
↗Shipping
Output128.5 t/hIllustrative
Energy / unit1.24 MWh/tIllustrative
Quality98.7%Illustrative
Availability96.2%Illustrative
Client · workflow feed
◉ Production OptimizationCandidate module
◉ Predictive MaintenanceCandidate module
◉ Quality InspectionCandidate module
◉ Energy OptimizationCandidate module
◉ Supply ChainCandidate module
01 · Intake & translationInventory → permissions → connectors → units, schema and timestamp alignment → data quality and lineage.
02 · Intelligence & orchestrationDiagnostics → scenarios → validated optimization → uncertainty checks → decision package and human approval.
03 · Execution & governanceApproved tasks only → monitor results → exceptions → audit trail → compare against baseline and improve.
Discuss this FABRIC pilot →
02
BE / BUSINESS ENTERPRISE · Sector control room

Coordinate finance, procurement and operations

Connected inputs → translation → specialist agents → constrained optimization → approval → audit.

● POLx°IMAT / DEMONSTRATION DEVICE ●
BE / BUSINESS ENTERPRISE / Control CenterKW 44 · SYNTHETIC DEMO
▣Demand
→
◈Purchase
→
⚙Approve
→
◇Fulfil
→
▤Invoice
→
↗Review
Illustrative revenue€48.2MIllustrative
Orders1,284Illustrative
Scenario opportunity€1.2MIllustrative
Process completion94%Illustrative
Client · workflow feed
◉ Finance AnalystCandidate module
◉ Procurement AgentCandidate module
◉ Sales ForecastCandidate module
◉ Risk & ComplianceCandidate module
◉ ESG AnalystCandidate module
01 · Intake & translationInventory → permissions → connectors → units, schema and timestamp alignment → data quality and lineage.
02 · Intelligence & orchestrationDiagnostics → scenarios → validated optimization → uncertainty checks → decision package and human approval.
03 · Execution & governanceApproved tasks only → monitor results → exceptions → audit trail → compare against baseline and improve.
Discuss this BE pilot →
03
SME / MITTELSTAND · Sector control room

Deploy a focused automation service without replacing tools

Connected inputs → translation → specialist agents → constrained optimization → approval → audit.

● POLx°IMAT / DEMONSTRATION DEVICE ●
SME / MITTELSTAND / Control CenterKW 44 · SYNTHETIC DEMO
▣Lead
→
◈Qualify
→
⚙Offer
→
◇Deliver
→
▤Invoice
→
↗Support
Sample sales€1.24MIllustrative
Open orders342Illustrative
Inventory turns6.7Illustrative
Customer score96%Illustrative
Client · workflow feed
◉ Sales AssistantCandidate module
◉ Document OCRCandidate module
◉ Accounting CheckerCandidate module
◉ Customer SupportCandidate module
◉ Marketing InsightsCandidate module
01 · Intake & translationInventory → permissions → connectors → units, schema and timestamp alignment → data quality and lineage.
02 · Intelligence & orchestrationDiagnostics → scenarios → validated optimization → uncertainty checks → decision package and human approval.
03 · Execution & governanceApproved tasks only → monitor results → exceptions → audit trail → compare against baseline and improve.
Discuss this SME pilot →
04
FINTECH / INSURANCE · Sector control room

Evidence-first financial and insurance workflows

Connected inputs → translation → specialist agents → constrained optimization → approval → audit.

● POLx°IMAT / DEMONSTRATION DEVICE ●
FINTECH / INSURANCE / Control CenterKW 44 · SYNTHETIC DEMO
▣Intake
→
◈KYC
→
⚙Risk
→
◇Review
→
▤Decision
→
↗Audit
Demo cases1,420Illustrative
Checked records92%Illustrative
Escalations17Illustrative
Logged decisions100%Illustrative
Client · workflow feed
◉ KYC ScreeningCandidate module
◉ Fraud TriageCandidate module
◉ Claims ReviewCandidate module
◉ Risk AssessmentCandidate module
◉ Compliance ReviewCandidate module
01 · Intake & translationInventory → permissions → connectors → units, schema and timestamp alignment → data quality and lineage.
02 · Intelligence & orchestrationDiagnostics → scenarios → validated optimization → uncertainty checks → decision package and human approval.
03 · Execution & governanceApproved tasks only → monitor results → exceptions → audit trail → compare against baseline and improve.
Discuss this FINTECH pilot →
05
MEDTECH / HEALTHCARE · Sector control room

Clinical-adjacent workflow intelligence with strict governance

Connected inputs → translation → specialist agents → constrained optimization → approval → audit.

● POLx°IMAT / DEMONSTRATION DEVICE ●
MEDTECH / HEALTHCARE / Control CenterKW 44 · SYNTHETIC DEMO
▣Request
→
◈Validate
→
⚙Schedule
→
◇Review
→
▤Approve
→
↗Report
Sample cases248Illustrative
Data completeness98%Illustrative
Open reviews12Illustrative
Automated clinical decisions0Illustrative
Client · workflow feed
◉ Intake CoordinatorCandidate module
◉ Data QualityCandidate module
◉ Capacity PlannerCandidate module
◉ Document ReviewCandidate module
◉ Privacy GateCandidate module
01 · Intake & translationInventory → permissions → connectors → units, schema and timestamp alignment → data quality and lineage.
02 · Intelligence & orchestrationDiagnostics → scenarios → validated optimization → uncertainty checks → decision package and human approval.
03 · Execution & governanceApproved tasks only → monitor results → exceptions → audit trail → compare against baseline and improve.
Discuss this MEDTECH pilot →
06
BIOTECH / LAB · Sector control room

Traceable experiment and laboratory operations

Connected inputs → translation → specialist agents → constrained optimization → approval → audit.

● POLx°IMAT / DEMONSTRATION DEVICE ●
BIOTECH / LAB / Control CenterKW 44 · SYNTHETIC DEMO
▣Sample
→
◈Prepare
→
⚙Run
→
◇QC
→
▤Analyze
→
↗Approve
Sample batches384Illustrative
QC completeness97%Illustrative
Review flags8Illustrative
Traceability100%Illustrative
Client · workflow feed
◉ Sample LineageCandidate module
◉ Experiment PlannerCandidate module
◉ QC AgentCandidate module
◉ Analysis AssistantCandidate module
◉ Inventory PlannerCandidate module
01 · Intake & translationInventory → permissions → connectors → units, schema and timestamp alignment → data quality and lineage.
02 · Intelligence & orchestrationDiagnostics → scenarios → validated optimization → uncertainty checks → decision package and human approval.
03 · Execution & governanceApproved tasks only → monitor results → exceptions → audit trail → compare against baseline and improve.
Discuss this BIOTECH pilot →
07
E-COMMERCE / RETAIL · Sector control room

Connect demand, inventory, orders and customer experience

Connected inputs → translation → specialist agents → constrained optimization → approval → audit.

● POLx°IMAT / DEMONSTRATION DEVICE ●
E-COMMERCE / RETAIL / Control CenterKW 44 · SYNTHETIC DEMO
▣Browse
→
◈Order
→
⚙Pay
→
◇Pick
→
▤Ship
→
↗Support
Sample GMV€2.8MIllustrative
Orders4,620Illustrative
Dispatch accuracy98%Illustrative
Fulfilment time3.1 dIllustrative
Client · workflow feed
◉ Demand ForecastCandidate module
◉ Inventory PlannerCandidate module
◉ Order ExceptionCandidate module
◉ Pricing AnalystCandidate module
◉ Returns TriageCandidate module
01 · Intake & translationInventory → permissions → connectors → units, schema and timestamp alignment → data quality and lineage.
02 · Intelligence & orchestrationDiagnostics → scenarios → validated optimization → uncertainty checks → decision package and human approval.
03 · Execution & governanceApproved tasks only → monitor results → exceptions → audit trail → compare against baseline and improve.
Discuss this E-COMMERCE pilot →
08
CORPORATE / MULTI-SITE · Sector control room

Portfolio orchestration across sites and subsidiaries

Connected inputs → translation → specialist agents → constrained optimization → approval → audit.

● POLx°IMAT / DEMONSTRATION DEVICE ●
CORPORATE / MULTI-SITE / Control CenterKW 44 · SYNTHETIC DEMO
▣Sites
→
◈Consolidate
→
⚙Compare
→
◇Optimize
→
▤Approve
→
↗Track
Demo sites12Illustrative
Reporting coverage86%Illustrative
Action proposals24Illustrative
Audit coverage100%Illustrative
Client · workflow feed
◉ Portfolio AnalystCandidate module
◉ Site BenchmarkCandidate module
◉ Capital AllocationCandidate module
◉ Supply NetworkCandidate module
◉ ESG & RiskCandidate module
01 · Intake & translationInventory → permissions → connectors → units, schema and timestamp alignment → data quality and lineage.
02 · Intelligence & orchestrationDiagnostics → scenarios → validated optimization → uncertainty checks → decision package and human approval.
03 · Execution & governanceApproved tasks only → monitor results → exceptions → audit trail → compare against baseline and improve.
Discuss this CORPORATE pilot →

All screens, dates, KPIs, agent statuses and integrations are synthetic product illustrations, not evidence of deployed functionality or existing vendor partnerships. OT/PLC control is not autonomous by default; safety-critical write access requires separate validation and authorization.

Features

One platform concept. Multiple decision capabilities.

Proposed modular capabilities to validate through scoped pilots.

⇄

System Connectivity

Assess secure connections between ERP, CRM, MES, spreadsheets and approved data sources.

◇

Decision Intelligence

Compare scenarios, constraints and trade-offs to inform accountable decisions.

◎

Human-Centric Automation

Coordinate workflows with approvals, exceptions and traceable actions.

⌁

Industrial Operations

Explore planning, production visibility and resource optimization use cases.

▤

Operational Dashboards

Bring relevant signals and KPIs into decision-oriented views.

✧

Custom Modules

Define focused functions for industry-specific requirements and legacy environments.

POLx°
IMAT
ERP
MES
CRM
IoT
API
WMS
BI
Docs
Integrations

Connect existing applications. Keep your options open.

Rather than replacing your infrastructure, POLx°IMAT is designed as a potential intelligence layer across systems you already use.

Start with one approved interface. Expand based on data quality, security requirements and measurable value.

  • ERP, CRM, MES, WMS and business applications
  • APIs, events, structured files and selected legacy interfaces
  • Role-based access and human approval design
  • Incremental, use-case-led integration

System names are illustrative categories, not confirmed product integrations or partnerships.

Ask about integrations →
Product concept

See how decision workflows could come together.

An illustrative view of the intended workflow — no prerecorded product video or live deployment is implied.

POLx°IMAT / DECISION WORKSPACE

Explore the concept workflow

Concept illustration · Not a product demo video
Multi-agent architecture

One service. Specialized agents. Accountable decisions.

POLx°IMAT BASIC is proposed as a scoped integration service, not an unrestricted autonomous factory operator. Modules are selected per customer case and validated before use.

01 · CONNECT

Integration Agent

Read approved ERP, MES, files or telemetry through configured adapters and least-privilege access.

02 · VERIFY

Data Quality Agent

Flag missing, stale, inconsistent or out-of-range data before any downstream calculation.

03 · DIAGNOSE

Diagnostic Agent

Identify exceptions, correlate evidence and suggest possible causes with confidence limits.

04 · CALCULATE

Optimization Engine

Compare constrained scenarios using deterministic calculations and validated solvers where appropriate.

05 · REVIEW

Decision Agent

Translate calculated alternatives into actionable recommendations and explain trade-offs.

06 · GOVERN

Approval & Audit

Require authorized sign-off for consequential actions, log decisions and track outcomes.

Modules are proposed capabilities; their implementation and production readiness depend on the customer-specific pilot.

POLx°IMAT · Modular agent library

Meet the specialist AI agents behind every decision.

One coordinated service, not twelve separate subscriptions. Select a factory problem; we configure only the necessary agents, integrations and validation gates. Explore each role, deliverables and implementation status.

Connectivity

Connector & Access Agent

Maps ERP, MES, SCADA, IoT and file sources; validates approved interfaces and permissions.

Role, outputs & readinessTypical output: Read-only connector inventory, access matrix, integration feasibility.
Readiness: Proposed module; connectors require case-specific engineering.
Connectivity

Data Translator Agent

Maps units, tags, timestamps, identifiers and data schemas across legacy systems.

Role, outputs & readinessTypical output: Canonical field mapping and transformation log.
Readiness: Proposed module; mappings require customer validation.
Assurance

Data Quality Agent

Checks missing values, inconsistent units, outliers, drift and source freshness.

Role, outputs & readinessTypical output: Data quality scorecard and exceptions queue.
Readiness: Prototype workflow; thresholds are customer-specific.
Analysis

Diagnostic Agent

Investigates bottlenecks, downtime, scrap, cycle-time variability and process anomalies.

Role, outputs & readinessTypical output: Ranked hypotheses with supporting evidence.
Readiness: Proposed analysis; not a guarantee of root-cause identification.
Analysis

Calculation & Simulation Agent

Runs transparent KPI calculations, scenario comparisons and constraint checks.

Role, outputs & readinessTypical output: Reproducible calculations and what-if scenarios.
Readiness: Method and model must be validated for each plant.
Analysis

Optimization Agent

Compares feasible actions against throughput, energy, quality and resource objectives.

Role, outputs & readinessTypical output: Ranked options with assumptions and trade-offs.
Readiness: Recommendations only until validated and authorized.
Assurance

Due Diligence Agent

Reviews source provenance, integration constraints, security, privacy, ownership and operational risks.

Role, outputs & readinessTypical output: Deployment-readiness checklist, risk register and evidence gaps.
Readiness: Supports technical due diligence; not a legal or certification opinion.
Assurance

Verification & Uncertainty Agent

Checks evidence coverage, uncertainty, rule violations and whether a recommendation is safe to escalate.

Role, outputs & readinessTypical output: Confidence/uncertainty notes, validation gate and rejection reasons.
Readiness: No safety-critical decisions without engineering validation.
Execution

Decision & Approval Agent

Packages recommendations for a named operator or manager and records approvals.

Role, outputs & readinessTypical output: Decision brief, approval history and accountability trail.
Readiness: Human approval required for material actions.
Execution

Workflow Orchestration Agent

Routes approved tasks across configured systems and tracks completion and failures.

Role, outputs & readinessTypical output: Execution queue, status, retries and escalation.
Readiness: Write actions disabled until expressly approved.
Assurance

Audit & Reporting Agent

Compiles data lineage, calculation versions, decision history and operational reports.

Role, outputs & readinessTypical output: Audit-ready activity log and management dashboard.
Readiness: Audit support only; compliance certification not implied.
Execution

Human Interface & Translator Agent

Explains findings in plain language and supports multilingual role-based dashboards.

Role, outputs & readinessTypical output: Operator briefings, manager summaries and localized explanations.
Readiness: Translations must be checked for critical instructions.
What is included in BASIC? A scoped configuration of relevant agents for one agreed use case, a limited set of approved data sources, a measurable baseline, a review dashboard and human sign-off. The complete agent library is not automatically included, production-ready or autonomous.

Example: one factory problem, five controlled stages

01 · ConnectInventory approved plant data and interfaces.
02 · DiagnoseCheck quality, investigate the bottleneck.
03 · CalculateCompare options and quantify uncertainty.
04 · ApprovePresent evidence to an accountable human.
05 · TrackLog outcomes and compare against baseline.

Pre-sale principle: Discovery → feasibility gate → scoped pilot agreement → customer-specific integration → measured acceptance. No promise of operator replacement, guaranteed savings or unsupervised control of physical equipment.

Decision workspace

Make complex results easy to act on.

Interactive illustrative dashboard: choose a use case to explore the proposed output structure. The numbers below are synthetic examples, not live operational data or customer results.

POLx°IMAT · Decision Workspace

Factory operations · illustrative scenario

Synthetic demonstration only. No production system connected.

Pilot-first presale

Start with a defined factory problem — not an unbounded AI promise.

Proposed BASIC offer: one priority use case, one or two approved data sources, selected agent modules, a decision dashboard and a documented human approval workflow.

01
Discovery & due diligence

Define baseline KPI, scope, data ownership, integration constraints, safety and privacy requirements.

02
Technical feasibility

Verify APIs, sample data quality, security model, computational method and expected effort.

03
Controlled pilot

Run a shadow-mode workflow with human review; compare outputs to a measured baseline.

04
Acceptance & expansion

Agree on measurable acceptance criteria before any production automation or multi-site rollout.

POLx°IMAT BASIC

Factory Intelligence Pilot

Pre-sale / design-partner proposal

  • One customer-defined operational problem
  • Up to two assessed data sources
  • Selected diagnostic and decision modules
  • Dashboard and exception reporting
  • Human-in-the-loop controls
  • Feasibility and acceptance report

Delivery timeline, price, service levels, deployment and any integrations are subject to a signed statement of work. No unattended machine control is included by default.

Discuss a BASIC pilot →
Solutions & pricing

Choose how to work with POLx°IMAT.

Illustrative packages and scope examples. No published prices or production availability are claimed.

All options are proposal-stage commercial models. Fees, deliverables, support and deployment are subject to technical validation and agreement. FaaS here means Function-as-a-Service.

How it works

From one use case to a scalable approach.

01

Discover

Define the bottleneck and measurable goal.

02

Connect

Review interfaces, permissions and data quality.

03

Validate

Run a limited pilot with human oversight.

04

Expand

Scale only after evidence of operational value.

Questions

Good questions deserve clear answers.

Does POLx°IMAT replace our ERP?

Not by default. The proposed architecture is complementary to existing systems, subject to integration feasibility.

Is POLx°IMAT already production-ready?

This landing page presents a commercial and technical product concept. Specific modules, integrations and readiness must be verified before deployment.

What is the difference between SaaS and FaaS?

SaaS is a software subscription model. FaaS here is a proposed Function-as-a-Service model for a defined business capability, with scope and responsibilities agreed separately.

Can we begin with a single factory or process?

Yes, the proposed engagement starts with a limited, measurable use case and expands only when validated.

Engineering & governance

Questions to resolve before autonomous execution.

Can POLx°IMAT replace a plant operator?

Not as a general claim. The BASIC proposal supports monitoring, analysis and recommendations. Safety-critical control or autonomous actuation requires separate engineering, validation, authorization and compliance review.

Which AI models and agents are used?

The architecture is model-agnostic by design. An orchestrator can call selected language models, rules, tools and mathematical solvers. Exact technology and licensing are chosen during technical feasibility.

How is due diligence performed?

Review data availability, system access, cyber security, privacy, process ownership, baseline KPIs, calculation validity, failure modes and contractual responsibilities.

What happens when agents disagree?

Conflicting results are flagged. Deterministic checks, source evidence, escalation rules and a designated human approver decide whether a recommendation can proceed.

What does pre-sale mean?

A discovery engagement, paid feasibility study or conditional pilot reservation can be offered before general product availability, with accurate scope and explicit milestones. Do not market unbuilt features as deployed.

Multi-agent realization · controlled execution

One defined problem. A coordinated team of specialist agents.

POLx°IMAT is proposed as a managed decision workflow, not an unchecked autonomous operator. Existing AI helpers may be reused where technically suitable; every connector, calculation and action requires validation for the customer's environment.

01 · CONNECT

Connector & access agent

Map ERP, MES, SCADA, CSV and APIs; verify read permissions, schemas and availability.

  • Source inventory
  • Permission checks
  • Read-only integration first
02 · UNDERSTAND

Data quality & diagnosis

Check missing values, timestamps, units, inconsistencies and process anomalies.

  • Provenance & confidence
  • Exception detection
  • Evidence trace
03 · CALCULATE

Optimization & simulation

Run defined calculations and compare alternatives under constraints and uncertainty.

  • Reproducible computation
  • Assumption disclosure
  • Scenario comparison
04 · VERIFY

Independent verification

Challenge proposed results against rules, source records and safety thresholds.

  • Cross-checks
  • Conflict escalation
  • Failure handling
05 · DECIDE

Decision orchestration

Prepare a ranked recommendation with rationale, expected trade-offs and an owner.

  • Explainable proposals
  • Role-based approvals
  • Audit trail
06 · ACT / LEARN

Controlled execution

Execute only authorized low-risk steps, measure outcomes and improve rules.

  • Human approval gates
  • Rollback or stop conditions
  • Measured post-action results

“All-inclusive” should mean managed delivery — not unlimited autonomy.

Integration, orchestration, dashboards, verification and support can be bundled into a scoped service. Hardware changes, third-party licenses, bespoke connectors and production write-access must be explicitly agreed.

Explore the BASIC pilot →
Product demonstrations · evidence status

Show the decision, not just the dashboard.

Use your existing POLx°IMAT dashboard prototypes as demonstration assets. Each commercial demonstration should distinguish illustrative data from customer-validated results.

Demo descriptions are conceptual. No live production data or verified customer performance is implied. Existing local prototype files may be linked after a publication review.

Due diligence · deployment readiness

What must be checked before a factory can buy and deploy?

A transparent pre-sale readiness checklist for customer IT, operations, procurement and management. Tick items during discovery; progress is saved only on this open page, not sent anywhere.

0 of 12 readiness items checked

Technical due diligence

What systems exist? Which protocols? How reliable are timestamps, identifiers, units and data history? Where can read-only tests run?

Operational due diligence

Who is accountable for decisions? What happens when agents disagree or fail? What actions are forbidden without operator approval?

Commercial due diligence

What is included in BASIC? Which connectors are standard versus custom? What are the acceptance tests, fees, liability boundaries and exit terms?

BASIC package · proposed pre-sale structure

Start with one measurable factory use case.

Pre-sell a scoped discovery and feasibility engagement, not an unverified promise of fully autonomous factory operation. The following is a proposed package definition, subject to contractual confirmation.

StageIncluded deliverableAcceptance evidence
1 · DiscoveryOne use case, stakeholders, systems map, risk register and KPI baselineApproved scope and measurable success criteria
2 · Integration studyRead-only data sample, connector assessment, access and data quality reportDocumented feasibility and gaps
3 · Multi-agent pilotConfigured diagnostic, calculation and verification workflow for the agreed scenarioRepeatable test cases, failure modes and traceable outputs
4 · Decision dashboardScenario comparison, confidence/evidence view and human approval stepStakeholder walkthrough and signed test results
5 · Go / no-goROI assumptions, deployment plan, security findings and expansion quoteExplicit customer decision; no implied production rollout
SAAS

Managed cloud pilot

For eligible workflows and approved data flows; subject to hosting and data-protection assessment.

FAAS

Function / workflow as a service

One bounded analytical function or agent workflow with defined inputs, outputs and service limits.

ENTERPRISE

Private integration

Custom connectors, restricted networks, on-premises deployment and governance review by quotation.

Ready to scope your first use case?

Request a discovery conversation. Pricing is provided after system access, complexity and deliverables are defined. No invented savings, customer logos or availability claims.

Request a BASIC pilot discussion →
Let's talk

Turn operational complexity into better decisions.

Describe your business, current systems and the decision challenge you want to improve. Start with an exploratory conversation.

This standalone demo does not send form data to a server. It can prepare an email after a destination address is configured.

Demo form: set your email destination in the script before publishing.

POLx°IMAT · Sector-by-sector workflow showroom

Every industry. Its own agents.
One accountable decision architecture.

Eight full-width workflow screens, stacked one after another: industrial factories first, then business enterprise, SME, and specialized sectors. Each screen shows candidate inputs, adapters, named AI-agent roles, the A→Z process, decision controls and measurable outcomes. These are illustrative solution blueprints, not live customer deployments.

FACTORY / INDUSTRIAL · WORKFLOW BLUEPRINT

Factory-wide cross-system optimization

From machine signals to validated decisions — one coordinated workflow across OT, IT and people.

01
POLx°IMAT / FACTORY / INDUSTRIAL / OPERATIONS & AGENT ORCHESTRATION
Factory-wide cross-system optimizationILLUSTRATIVE · NOT LIVE

01 · Input systems / protocols / APIs

  • PLC / SPS (Siemens S7, Beckhoff, Rockwell)
  • SCADA / HMI / Historian
  • OPC UA / Modbus / MQTT / industrial gateways
  • MES / MOM / OEE / CMMS / EAM
  • ERP / APS / WMS / QMS / LIMS
  • Sensors, meters, energy, vibration, vision, quality logs

02 · Normalization & control layer

  • Scoped read-only connectors and permission map
  • Protocol / API adapters, canonical data model
  • Units, time synchronization, provenance, quality checks
  • Identity, secrets, rate limits, network segmentation
  • Confidence, uncertainty, exception queue, human review
  • Write-back only through explicitly authorized gateways
Asset & protocol discoveryOT/IT Connector AgentTimestamp & Unit TranslatorData Quality / Lineage AgentRoot-Cause Diagnostic AgentDigital Twin / Simulation AgentScheduling & Optimization AgentSafety / Constraint ValidatorHuman Approval / Dispatch AgentExecution Monitor / Audit Agent

03 · Controlled output

  • Evidence-backed recommendation / scenario comparison
  • Named accountable approver and policy / safety gate
  • Approved task, ticket, report or constrained system action
  • Impact monitoring, rollback conditions and audit trail

A → Z: End-to-end process

  1. Observe production, bottlenecks and constraints
  2. Normalize machine, order, quality and energy data
  3. Identify causes and estimate uncertainty
  4. Simulate feasible schedules / parameter changes
  5. Validate safety limits and obtain authorization
  6. Dispatch approved changes through permitted interfaces
  7. Measure impact, detect drift and rollback if needed

Outcomes to measure — not promised results

Throughput and OEE
Scrap / rework
Energy per unit
Unplanned downtime
Schedule adherence
Verified savings
Pre-sale scope: BASIC Factory Pilot — one line, one measurable bottleneck, read-only discovery first.
Delivery path: discovery → data access assessment → baseline → offline pilot → validation → supervised deployment → measured expansion.
Discuss this use caseExplore specialist agents
BUSINESS ENTERPRISE · WORKFLOW BLUEPRINT

Enterprise-wide decision orchestration

Coordinate finance, procurement, sales, supply chain and operations without replacing existing systems.

02
POLx°IMAT / BUSINESS ENTERPRISE / OPERATIONS & AGENT ORCHESTRATION
Enterprise-wide decision orchestrationILLUSTRATIVE · NOT LIVE

01 · Input systems / protocols / APIs

  • ERP / SAP / Microsoft Dynamics / Oracle
  • CRM / CPQ / Customer Service
  • Finance / Treasury / BI / Data Warehouse
  • HRIS / IAM / Document Management
  • Procurement / Supplier Portals / EDI
  • API, webhooks, SFTP, approved file exports

02 · Normalization & control layer

  • Scoped read-only connectors and permission map
  • Protocol / API adapters, canonical data model
  • Units, time synchronization, provenance, quality checks
  • Identity, secrets, rate limits, network segmentation
  • Confidence, uncertainty, exception queue, human review
  • Write-back only through explicitly authorized gateways
Enterprise Access AgentSchema / Master Data TranslatorEntity Matching AgentContract & Due Diligence AgentDemand / Risk Forecast AgentScenario / Budget OptimizerCompliance & Policy AgentApproval Routing AgentExecution / Exception AgentEvidence & Reporting Agent

03 · Controlled output

  • Evidence-backed recommendation / scenario comparison
  • Named accountable approver and policy / safety gate
  • Approved task, ticket, report or constrained system action
  • Impact monitoring, rollback conditions and audit trail

A → Z: End-to-end process

  1. Map process owners, permissions and business events
  2. Reconcile data across finance, CRM and procurement
  3. Detect exceptions, costs and operational exposure
  4. Compare feasible actions against policy and budgets
  5. Request accountable owner approvals
  6. Create approved tasks / ERP updates and monitor outcomes
  7. Retain evidence and performance history

Outcomes to measure — not promised results

Working capital
Cycle time
Forecast error
Procurement exceptions
Service-level adherence
Decision traceability
Pre-sale scope: BASIC Enterprise Pilot — one end-to-end process and a defined approval chain.
Delivery path: discovery → data access assessment → baseline → offline pilot → validation → supervised deployment → measured expansion.
Discuss this use caseExplore specialist agents
SME / SERVICE · WORKFLOW BLUEPRINT

Practical AI operations for lean teams

A managed, human-controlled workflow for documents, client requests, project follow-up and reporting.

03
POLx°IMAT / SME / SERVICE / OPERATIONS & AGENT ORCHESTRATION
Practical AI operations for lean teamsILLUSTRATIVE · NOT LIVE

01 · Input systems / protocols / APIs

  • Microsoft 365 / Google Workspace / IONOS mail
  • CRM / HubSpot / Salesforce / existing tools
  • DATEV / Lexware / accounting exports
  • SharePoint / Drive / DMS / PDF / spreadsheets
  • Calendar / Teams / Slack / task tools
  • Approved APIs and supervised browser workflows

02 · Normalization & control layer

  • Scoped read-only connectors and permission map
  • Protocol / API adapters, canonical data model
  • Units, time synchronization, provenance, quality checks
  • Identity, secrets, rate limits, network segmentation
  • Confidence, uncertainty, exception queue, human review
  • Write-back only through explicitly authorized gateways
Inbox Classification AgentDocument Extraction AgentClient Context AgentDue Diligence AgentDeadline / Task AgentCalculation & Quote AgentApproval / Communication AgentAudit & Privacy Agent

03 · Controlled output

  • Evidence-backed recommendation / scenario comparison
  • Named accountable approver and policy / safety gate
  • Approved task, ticket, report or constrained system action
  • Impact monitoring, rollback conditions and audit trail

A → Z: End-to-end process

  1. Capture incoming requests and classify documents
  2. Extract relevant fields with confidence indicators
  3. Match client and project records
  4. Check completeness, deadlines and missing evidence
  5. Prepare calculations, tasks and response drafts
  6. Route decisions to authorized employees
  7. Send or update systems only after approval

Outcomes to measure — not promised results

Response time
Missing-document rate
Manual processing time
Overdue tasks
Correction rate
Employee time saved
Pre-sale scope: BASIC SME Pilot — one document-to-decision workflow; green investment / advisory use cases available.
Delivery path: discovery → data access assessment → baseline → offline pilot → validation → supervised deployment → measured expansion.
Discuss this use caseExplore specialist agents
FINTECH / INSURANCE · WORKFLOW BLUEPRINT

Risk-aware financial workflows

Structure financial evidence, exception review and compliant human decision-making.

04
POLx°IMAT / FINTECH / INSURANCE / OPERATIONS & AGENT ORCHESTRATION
Risk-aware financial workflowsILLUSTRATIVE · NOT LIVE

01 · Input systems / protocols / APIs

  • Core banking / policy admin (approved interfaces)
  • KYC / AML screening vendors
  • Transaction / claims data
  • CRM / case management
  • Regulatory / policy libraries
  • Audit and identity systems

02 · Normalization & control layer

  • Scoped read-only connectors and permission map
  • Protocol / API adapters, canonical data model
  • Units, time synchronization, provenance, quality checks
  • Identity, secrets, rate limits, network segmentation
  • Confidence, uncertainty, exception queue, human review
  • Write-back only through explicitly authorized gateways
Identity & Consent AgentTransaction TranslatorKYC Evidence AgentFraud / Anomaly AgentRisk Scoring AgentPolicy & Due Diligence AgentHuman Adjudication AgentAudit & Explainability Agent

03 · Controlled output

  • Evidence-backed recommendation / scenario comparison
  • Named accountable approver and policy / safety gate
  • Approved task, ticket, report or constrained system action
  • Impact monitoring, rollback conditions and audit trail

A → Z: End-to-end process

  1. Ingest permitted case records
  2. Validate identity, provenance and completeness
  3. Flag inconsistencies and potential risk
  4. Assess evidence and model uncertainty
  5. Produce explainable review recommendations
  6. Escalate regulated decisions to qualified humans
  7. Log decisions, access and corrections

Outcomes to measure — not promised results

Review cycle time
False-positive review burden
Evidence completeness
Escalation rate
Audit readiness
Case backlog
Pre-sale scope: Regulated use case: decision support only; no autonomous credit, claims or AML determinations.
Delivery path: discovery → data access assessment → baseline → offline pilot → validation → supervised deployment → measured expansion.
Discuss this use caseExplore specialist agents
MEDTECH / HEALTHCARE · WORKFLOW BLUEPRINT

Evidence-led clinical operations support

Connect operational data and quality systems while keeping clinical decisions under qualified oversight.

05
POLx°IMAT / MEDTECH / HEALTHCARE / OPERATIONS & AGENT ORCHESTRATION
Evidence-led clinical operations supportILLUSTRATIVE · NOT LIVE

01 · Input systems / protocols / APIs

  • EHR / FHIR / HL7 (where authorized)
  • LIMS / LIS / laboratory instruments
  • QMS / CAPA / eDMS
  • Scheduling / inventory / supply
  • Device telemetry (approved)
  • Access, consent and audit systems

02 · Normalization & control layer

  • Scoped read-only connectors and permission map
  • Protocol / API adapters, canonical data model
  • Units, time synchronization, provenance, quality checks
  • Identity, secrets, rate limits, network segmentation
  • Confidence, uncertainty, exception queue, human review
  • Write-back only through explicitly authorized gateways
Data Minimization AgentFHIR / HL7 TranslatorRecord Quality AgentWorkflow Bottleneck AgentCapacity Optimization AgentClinical Safety Review GateQuality / CAPA AgentAudit & Evidence Agent

03 · Controlled output

  • Evidence-backed recommendation / scenario comparison
  • Named accountable approver and policy / safety gate
  • Approved task, ticket, report or constrained system action
  • Impact monitoring, rollback conditions and audit trail

A → Z: End-to-end process

  1. Define non-diagnostic operational use case
  2. Minimize and validate sensitive data
  3. Identify workflow delays and capacity constraints
  4. Simulate staffing or scheduling options
  5. Review safety and privacy constraints
  6. Approve operational changes with designated staff
  7. Measure outcomes and retain audit trail

Outcomes to measure — not promised results

Turnaround time
Capacity utilization
Data completeness
Process deviations
Quality closure time
Audit evidence
Pre-sale scope: Operational optimization only unless a separate medical-device regulatory pathway is established.
Delivery path: discovery → data access assessment → baseline → offline pilot → validation → supervised deployment → measured expansion.
Discuss this use caseExplore specialist agents
BIOTECH / LAB · WORKFLOW BLUEPRINT

From experiment data to traceable decisions

Coordinate research data, sample lineage, lab capacity and uncertainty-aware hypotheses.

06
POLx°IMAT / BIOTECH / LAB / OPERATIONS & AGENT ORCHESTRATION
From experiment data to traceable decisionsILLUSTRATIVE · NOT LIVE

01 · Input systems / protocols / APIs

  • LIMS / ELN / sample tracking
  • Laboratory instruments / imaging
  • Assay / omics pipelines
  • Inventory / procurement
  • QMS / SOP / versioned protocols
  • Research repositories / secure compute

02 · Normalization & control layer

  • Scoped read-only connectors and permission map
  • Protocol / API adapters, canonical data model
  • Units, time synchronization, provenance, quality checks
  • Identity, secrets, rate limits, network segmentation
  • Confidence, uncertainty, exception queue, human review
  • Write-back only through explicitly authorized gateways
Sample Lineage AgentInstrument Data TranslatorAssay Quality AgentHypothesis AssistantExperiment Design AgentCapacity / Reagent OptimizerScientific Verification AgentResearch Audit Agent

03 · Controlled output

  • Evidence-backed recommendation / scenario comparison
  • Named accountable approver and policy / safety gate
  • Approved task, ticket, report or constrained system action
  • Impact monitoring, rollback conditions and audit trail

A → Z: End-to-end process

  1. Register samples and experiment context
  2. Validate assay metadata and measurement quality
  3. Detect anomalies and confounders
  4. Compare hypotheses and candidate next experiments
  5. Simulate resource / time trade-offs
  6. Require scientist approval for protocol changes
  7. Record provenance, limitations and outcomes

Outcomes to measure — not promised results

Sample traceability
Assay repeatability
Instrument utilization
Experiment turnaround
Reagent waste
Hypothesis review time
Pre-sale scope: Research support only; hypotheses are not validated discoveries or clinical conclusions.
Delivery path: discovery → data access assessment → baseline → offline pilot → validation → supervised deployment → measured expansion.
Discuss this use caseExplore specialist agents
E-COMMERCE / RETAIL · WORKFLOW BLUEPRINT

Connect demand, inventory and fulfillment

Coordinate storefront, marketing, warehouse and service decisions across channels.

07
POLx°IMAT / E-COMMERCE / RETAIL / OPERATIONS & AGENT ORCHESTRATION
Connect demand, inventory and fulfillmentILLUSTRATIVE · NOT LIVE

01 · Input systems / protocols / APIs

  • Shopify / Magento / WooCommerce
  • Marketplace / Amazon / channel feeds
  • PIM / CRM / customer support
  • ERP / WMS / fulfillment / carriers
  • Advertising / analytics / consent platforms
  • Returns / payments / fraud systems

02 · Normalization & control layer

  • Scoped read-only connectors and permission map
  • Protocol / API adapters, canonical data model
  • Units, time synchronization, provenance, quality checks
  • Identity, secrets, rate limits, network segmentation
  • Confidence, uncertainty, exception queue, human review
  • Write-back only through explicitly authorized gateways
Catalog Translator AgentDemand Forecast AgentStock & Replenishment AgentMargin / Pricing Scenario AgentFulfillment Routing AgentReturns Diagnostic AgentCustomer Service Draft AgentCommercial Approval Agent

03 · Controlled output

  • Evidence-backed recommendation / scenario comparison
  • Named accountable approver and policy / safety gate
  • Approved task, ticket, report or constrained system action
  • Impact monitoring, rollback conditions and audit trail

A → Z: End-to-end process

  1. Unify SKUs, orders and inventory signals
  2. Forecast demand and detect stock-out risk
  3. Compare reorder and fulfillment scenarios
  4. Review margin and service constraints
  5. Approve commercial actions
  6. Publish permitted changes and monitor results
  7. Audit performance by channel

Outcomes to measure — not promised results

Stock-out rate
Gross margin
Return rate
Fulfillment time
Inventory turns
Customer response time
Pre-sale scope: Brand and retail workflows can be tailored to luxury goods; no affiliation with Swarovski or other brands is implied.
Delivery path: discovery → data access assessment → baseline → offline pilot → validation → supervised deployment → measured expansion.
Discuss this use caseExplore specialist agents
CORPORATE / GROUP · WORKFLOW BLUEPRINT

Multi-entity operational intelligence

Compare business units, coordinate shared services and preserve local decision authority.

08
POLx°IMAT / CORPORATE / GROUP / OPERATIONS & AGENT ORCHESTRATION
Multi-entity operational intelligenceILLUSTRATIVE · NOT LIVE

01 · Input systems / protocols / APIs

  • Multiple ERPs / consolidation systems
  • Group BI / data lake / MDM
  • Treasury / FP&A / procurement
  • Entity-level CRM / HRIS
  • Policy / GRC / IAM
  • Approved subsidiary and regional connectors

02 · Normalization & control layer

  • Scoped read-only connectors and permission map
  • Protocol / API adapters, canonical data model
  • Units, time synchronization, provenance, quality checks
  • Identity, secrets, rate limits, network segmentation
  • Confidence, uncertainty, exception queue, human review
  • Write-back only through explicitly authorized gateways
Entity Mapping AgentIntercompany Reconciliation AgentGroup Risk AgentScenario Portfolio AgentPolicy & Jurisdiction AgentShared Services AgentExecutive Decision AgentAudit & Governance Agent

03 · Controlled output

  • Evidence-backed recommendation / scenario comparison
  • Named accountable approver and policy / safety gate
  • Approved task, ticket, report or constrained system action
  • Impact monitoring, rollback conditions and audit trail

A → Z: End-to-end process

  1. Discover entities, jurisdictions and access rights
  2. Harmonize definitions without erasing local context
  3. Surface cross-entity constraints and opportunities
  4. Compare portfolio scenarios and uncertainty
  5. Obtain regional and group-level approvals
  6. Orchestrate permitted cross-team actions
  7. Measure results with entity-level audit evidence

Outcomes to measure — not promised results

Consolidation effort
Cross-entity exceptions
Shared service cycle time
Capital allocation quality
Policy adherence
Decision latency
Pre-sale scope: Enterprise architecture and governance discovery required before multi-entity rollout.
Delivery path: discovery → data access assessment → baseline → offline pilot → validation → supervised deployment → measured expansion.
Discuss this use caseExplore specialist agents

What “all-inclusive multi-agent delivery” actually means

POLx°IMAT BASIC is proposed as a managed, scoped service: integration design, connector configuration, specialist agent orchestration, quality checks, scenario evaluation, reporting and operator-facing decision support. It does not mean unlimited connectors, autonomous control of safety-critical machinery, guaranteed savings, or replacement of legally accountable professionals.

01 · Due diligence
Asset inventory, API licenses, network topology, OT cybersecurity, data rights, baseline feasibility.
02 · Human control
Read-only first, role-based approvals, safe action allowlists, emergency stop and rollback design.
03 · Evidence
Traceable input lineage, model/version logging, validation sets, uncertainty and measurable KPIs.
04 · Commercial scope
Defined use case, supported connectors, responsibilities, service levels and acceptance criteria.