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Operixon
Operixon CoreEnterprise Decision Infrastructure

From operational data to better decisions.

Operixon Core turns operational context into explainable, simulated and economically evaluated decisions. Core begins where reporting ends.

Illustrative decision path — at-risk order review

Risk signal

Evaluated actions

SO-4471

  • Promised delivery: 14 March
  • 3 line items · 2 production lines
  • Order value: €38,600

72% probability of delay · Estimated slip 6 working days

  • Reprioritise production

    Ranked first

    SO-4488 on line 2 slips one day; the capacity moves to this order.

    Delay
    Delay −4 days
    Cost
    Cost +€570
    Confidence
    81% confidence
  • Ship partially

    The two ready line items go ahead on a separate delivery note.

    Delay
    Delay −2 days
    Cost
    Cost +€215
    Confidence
    74% confidence
  • Switch to alternate supplier

    The critical component is sourced from the secondary supplier.

    Delay
    Delay −5 days
    Cost
    Cost +€970
    Confidence
    63% confidence
Based on
  • ERP order record
  • Capacity plan
  • Supply status
  • Historical delivery performance

Illustrative visualisation. Core does not make the call; it ranks the available options with their reasoning and records the decision taken and the outcome that followed.

  1. Context

    What is happening?

    Brings order, production, inventory and supply data into a single operational context model.

  2. Simulation

    What could happen?

    Simulates the actions available in the current state and compares their likely outcomes.

  3. Decision

    What should happen next?

    Ranks actions by operational and economic impact, and shows the reasoning behind each one.

Technology

Core is decision infrastructure, not a dashboard.

Reports tell you what happened. Core uses six components to model what can be done and what each option would cost.

01

Operational Context Model

Represents orders, products, resources, suppliers and constraints as one connected operational model.

02

Temporal Context Graph

Stores how operational state changes over time, so today's situation is read together with past behaviour.

03

Decision Engine

Produces and evaluates the set of actions that are genuinely available in the current context.

04

Simulation & Optimization

Runs each action forward and compares operational and economic outcomes under real constraints.

05

Decision Provenance

Keeps a traceable record of the data, constraints and assumptions behind every recommendation.

06

Decision Memory

Stores the decision taken and the outcome that followed, so later evaluations can use that history.

First application area

Order-to-Fulfillment

Core's first concrete problem area is the order-to-fulfillment chain. Four questions are answered in one decision flow instead of separate reports.

  1. 01

    Which orders are at risk of delay?

  2. 02

    Why are they at risk?

  3. 03

    What actions are available today?

  4. 04

    What is the expected operational and economic impact of each action?

Fulfillment is the first application area of Operixon Core, not the permanent name of the technology.

Service line

AI & Automation

Core is our long-term technology line. Alongside it, we build operational systems that work today: integration, automation, data and controlled AI.

Workflow automation

We convert manual and repetitive processes into controlled workflows with defined checkpoints.

System integration

We connect APIs, CRM systems, forms, databases and business applications into reliable data flows.

Data & reporting automation

We simplify operational data collection, transformation, reporting and recurring management outputs.

CRM & sales operations

We organise lead flows, pipelines, opportunity management and follow-up systems.

AI-assisted internal tools

We build classification, document processing, decision support and controlled AI workflows.

Process analysis & delivery

We analyse the business process, identify the value area and put the working system into operation.

How we work

From idea to working system, in controlled steps.

Every step has a concrete output. We do not start building until scope, integrations and human control points are clear.

  1. 01

    Understand the process

    We review current tools, manual steps, data flows and bottlenecks.

  2. 02

    Identify the value area

    We define where automation, data or AI genuinely produces a measurable result.

  3. 03

    Build and integrate

    We develop the solution in small, testable pieces that fit your existing operation.

  4. 04

    Monitor and improve

    We improve the system based on real usage, errors and feedback.

Why Operixon

We define the decision before choosing the technology.

Decision first, tool second
We do not design a data model or an interface until it is clear which decision is being improved.
Explainability is required
A recommendation whose reasoning cannot be shown is not a recommendation an operation can act on.
People decide
Core produces decision support. Operational responsibility stays with the user.
Fits existing systems
We work with the systems you already run instead of forcing a full software replacement.
Measurable output
Wherever possible we track the effect on time, errors, delay or cost.
Technically honest AI
We use AI to explain context and speed up workflows, not to invent uncalculated numbers.
Company

We work where decision technology and applied AI meet.

Operixon builds decision technologies and applied AI systems that help companies turn operational data into better decisions and reduce manual operational work.

The two lines feed each other: Core is our long-term proprietary technology direction, while AI & Automation is the applied capability that produces measurable results today.

  • Decision Technology
  • Data
  • AI
  • Automation
  • Operational Systems
Contact

If you know which decision is going wrong, start there.

Let's review your current data and process setup together, for an Operixon Core evaluation or an automation need.