Platform / How it works

From enterprise data to governed action.

Most AI answers questions. OpenKnowra compiles how your enterprise works into live context, applies decision logic you have approved, and builds the actions that agents and people carry out, with traceability, control and a human on the calls that matter.

No rip and replace · agents that share one context · governed and observable by design

Where it sits

From the systems you already run, to governed execution.

Your systems stay where they are. The Context Compiler turns them into live context, the Logic Controller decides on it, and the Action Builder puts decisions to work. Governance and observability wrap all three. You can adopt the context alone, or the full platform.

Decidesautonomously, within limits
Top plateAutonomous Enterprise Decisioning

Decisions that are policy-bound and traceable, with a person on the calls that carry cost or risk.

Decisions you can defend
Actsthrough agents and people
L6 · L7Action Builder
Assembly Lines and Action AgentsKnowledge Map and Semantic ModelsExternal Agents over A2A and MCPA2A Orchestrator and Control System
Governed action
Reasonson approved logic
L4 · L5Logic Controller
Enterprise Logic ComposerRecommendation and Decision Tuner
One logic layer
Understandsthe context
L1 · L2 · L3Context Compiler
Adaptive Data FabricatorA2A ConnectorDomain Ontology and Knowledge GraphModel GatewayEnterprise Context Graph
One live context
Readsyour systems
L0Enterprise data

Systems of record, plus systems of operations and engagement: ERP, CRM, OSS/BSS, billing, HR and the rest. They stay where they are.

No rip and replace
Observesevery decision
Outside the layersAutonomy Governance and Observability
Context harnessAccess and policyPrivacy and securityRegulation and auditDecision lineageClosed feedback loop
Lineage and audit
Path 1 · Context

Adopt the understanding

Deploy the Context Compiler and build your own agents and applications on one live context.

Path 2 · Full platform

Run the operation

Add the Logic Controller and the Action Builder for governed decisions and governed action.

See it run

Follow one enterprise decision.

A leader asks for an outcome. The Context Compiler resolves the context, the Logic Controller reaches a governed call, and the Action Builder assembles the right people and agents and runs it, with each fact and action recorded. Pick a decision.

◎ Context Compiler · understands
◆ Logic Controller · decides
◫ Action Builder · acts
01 · GROUND

02 · READ

03 · DECIDE

04 · ASSEMBLE

05 · RUN

Context Compiler understands · Logic Controller decides · Action Builder acts · every outcome improves the next decision
Decision data is illustrative; the loop is the same across every grid.
The three solutions

One understands. One decides. One acts.

Each solution does one job and shares the same live context. Governance and observability run across all three, and outcomes flow back so the next decision starts from more.

Context Compiler

Connects systems and agents, adds domain knowledge and keeps one live Enterprise Context Graph.

Logic Controller

Turns SOPs and policies into reviewed decision logic, then evaluates recommendations on live context.

Action Builder

Builds and coordinates agents and workflows, including external agents over A2A and MCP, under one control system.

Governance and observability

Access, policy, audit and decision lineage across all three, so each fact, decision and action traces to its source.

Together they form Autonomous Enterprise Decisioning: policy-bound, traceable decisions put to work by agents and people, with humans in command on the calls that matter.

Why it holds up

Why this is not RAG, agents, or workflow automation.

Retrieval fetches text. Agents act on assumptions. Workflow tools automate a fixed path. A governed context and decision layer is a different thing, on five counts.

Deterministic

The same facts and the same rules give the same decision, consistent enough to operationalize, not just prompt.

Current

Stays live as the enterprise changes, not a snapshot indexed last month.

Causal

Targets causes and constraints, not surface correlations.

Traceable

Facts, decisions and actions link back to their source records.

Connected

Reasons across systems and agents over A2A and MCP, not within one application’s view.

Governance and observability

Autonomy you can trust.

Most AI gives you an answer, then reconstructs an explanation if you ask. OpenKnowra’s reasoning chain is the decision. The trace is not a log written after the fact. It is what ran.

You set where autonomy stops
Routine, low-stakes work runs on its own. Anything above your cost or risk line waits for a person.
Policy lives inside the run
Thresholds, approvals and rules are part of how the decision executes, not bolted on after the fact.
Every decision keeps its lineage
The facts, the rule version and the outcome are recorded, so a decision can be replayed and reviewed later.
The line moves as confidence grows
Tighten or loosen what runs unattended, function by function, on your terms.

SOC 2 and ISO 27001 certified. For enterprises operating globally, whether US federal AI governance, the EU AI Act, or internal DEI and fairness obligations, AI that affects people requires accountability.

Why believe it

Context engineering since 2007. Not a wrapper.

This is not a recent assembly of models and prompts. Spire.AI was founded in 2007 and built this through enterprise deployment.

  • Domain models across telecom, banking, workforce and more
  • A proprietary knowledge-graph construction engine, not a graph database
  • Enterprise integrations into the systems of record you already run
  • Causal reasoning and governance frameworks, proven in regulated settings
  • Pre-built, domain-intelligent grids per function
14M+graph edges
2007founded
<220msp50 latency
99.99%enterprise SLA
100+countries
Fits what you already run

One architecture across twelve grids.

No rip and replace. OpenKnowra reads your systems of record and sits above your data platforms, and the same architecture runs across functions. Open a grid to see it applied.

Telecom Enterprise Twin
Tower to invoice, one live operator
Open →
Customer Value Management
One live customer graph
Open →
Work & Workforce Engineering
Skills, capacity and deployment
Open →
Finance
Margin, spend and revenue assurance
Open →
Banking
Risk, cases and compliance
Soon
Education
Learners, programs and outcomes
Soon
Sales
Pipeline and revenue motion
Soon
Marketing
Segments, campaigns and attribution
Soon
Supply Chain
Inventory, flow and resilience
Soon
Procurement
Sourcing, spend and suppliers
Soon
Brand Voice
Consistent voice at scale
Soon
IT
Services, assets and operations
Soon

Stop asking your AI questions. Put it to work.

Bring your hardest function. We’ll walk it as your use case, not a generic demo, and show you the operation running.

Enterprise + Domain + Market = Enterprise Context Intelligence

Context Compiler + Logic Controller + Action Builder = Autonomous Enterprise Decisioning

A 30-minute walkthrough using your specific function. No generic demos.