Decision layer for agent-to-agent (A2A) and human-in-the-loop

We build the enterprise decision layer

Your systems record what happened. Entision captures why. Every decision becomes a first-class object in an enterprise ontology, so agents work with agents (A2A) and with people on the same context, and every outcome makes the next decision better.

Based on SAP® Business AI Platform

Systems of record miss the most valuable part

Transactions, documents and master data tell you what happened. The reasoning behind it (options weighed, constraints, approvals, exceptions) lives in emails, meetings and people's heads. Agents cannot learn from that, and neither can your next hire.

Today

What happened

Orders, postings, tickets, approvals. Complete as records, silent on rationale.

With entision

Why it happened

Decisions, their context and their outcomes, linked in one graph that grows with every case.

From records to a learning decision layer

Entision sits next to your existing landscape. It connects, models and learns without replacing your core systems.

01

Capture

Decisions and their context are captured where work already happens, from process events to agent actions, as structured decision events.

02

Model

An enterprise ontology links decisions to entities, policies, constraints and outcomes. One graph, shared by people and agents.

03

Learn

A feedback loop compares expected and actual outcomes. Each decision sharpens the next recommendation, and that learning compounds over time.

One layer, two returns

The decisions you capture to run the business become the map you need to change it. We shape the first use cases together with our design partners.

RunOperational decisions, handled by people or agents (A2A). Every outcome sharpens the next one.

Exceptions

A supplier is late, stock runs short, an order is on credit hold. Entision records which option was chosen, why, and how it turned out, so the next exception is resolved faster.

Approvals

Budget, pricing, credit. With past decisions and their outcomes in the graph, an agent can propose with precedent, and people approve where policy requires it.

Priorities

Scarce stock, competing orders, maintenance slots. Trade-offs become explicit and comparable instead of living in someone's head.

TransformProcess and decision data for your next landscape. Clean core by design.

From SAP ECC to SAP S/4HANA®

Before you move from SAP ERP Central Component (SAP ECC), the decision layer shows which process variants and custom developments carry real decisions and which have simply grown over time. Keep what matters, standardize the rest.

SAP Business Warehouse modernization

The decision layer shows which SAP BW reports and KPIs actually feed into decisions. Move what is used, retire what is not.

Built for agentic enterprises

  • Agent-readyAgent-to-agent (A2A) and human-in-the-loop processes work on the same decision context and the same audit trail.
  • Sovereign by designYou own your decision ontology. Your data and your graph stay yours, portable and under your control.
  • Clean-core friendlyRuns on SAP Business AI Platform and extends the landscape side by side, with no custom code in your core and no upgrade friction.
  • Explainable and auditableEvery recommendation traces back to the decisions, rules and outcomes that shaped it.

See what your decisions are telling you

We are working with a small group of design partners. We would also like to hear from investors, technology partners and people who want to build the enterprise decision layer with us.