Connect enterprise reality
Connect content, data, rules, people, tools, workflows, and events while preserving provenance, time, and access boundaries.
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GEA Architecture
Context System
Help agents understand what is happening in the enterprise—and keep acting on it.
The Context System connects enterprise content, data, rules, events, and decisions. For every task, it determines what is current, relevant, and usable, then continuously writes actions and business outcomes back. The Context Graph is one modeling mechanism within the system—not the system itself.
How It Works
From enterprise information to context that can shape action.
Context answers more than what can be retrieved. It determines what remains valid, how it relates to the current task, whether it can be used, and what a change should trigger.
Model the context
Use ontology, the Context Graph, and memory to represent entities, relationships, state, history, and decision effect.
Resolve and activate context
Resolve context that is current, relevant, and usable, then turn it into action premises, signals, and execution constraints.
Evolve with outcomes
Write adoption, rejection, rationale, feedback, and outcomes back so later work inherits the latest state instead of restarting.
Technical Artifact · Actionable Context
Actionable context is more than a collection of retrieved fragments.
Context entering a run carries provenance, time, relationships, scope, and decision state. The system turns those properties into retrieval grounding, task triggers, and execution constraints.
Provenance & time
Track where information came from, when it was created, and whether it remains valid.
Semantics & relations
Ontology and the Context Graph express how entities relate and how those relations change.
Decision effect
`evidence` connects rationale, while `supersedes` removes replaced conclusions from later use.
Activation & write-back
State changes can become signals, while validated actions, feedback, and outcomes return to context.
In Production
Its role inreal enterprise work.
Start from the current enterprise state
Agents receive context that is relevant, current, and grounded in provenance, reducing repeated manual search and explanation.
Turn change into action
Changes in content, markets, workflows, or decisions can become signals that initiate or adapt downstream work.
Carry enterprise judgment across tasks
Agents share context with scope, version, and decision rationale so enterprise judgment compounds through operation.
Validation & Guardrails
Context must know what is valid—and what is no longer valid.
Context quality depends on provenance, freshness, conflict resolution, scope, and write-back quality—not retrieval accuracy alone. Security and governance enforce identity and access, while the Context System preserves and carries those boundaries.
How We Measure
01
Context selection precision
02
Citation coverage
03
Stale-reference rate
04
Unsupported-generation rate
Boundaries & Guardrails
Provenance, version, and freshness
Track where information came from, when it changed, and where it applies to reduce stale context entering action.
Conflict, supersession, and scope
Preserve conflicting evidence while making clear which conclusions were superseded and which rules apply only under specific conditions.
Validated write-back
Separate intermediate generation, human confirmation, and real outcomes so information gains decision effect only after appropriate validation.
Connected Technology
Every capability,working as one system.
Models, context, runtime, and enterprise foundations work together to move agents from understanding to reliable action.
01
GEA Architecture
Long-Horizon Agent Runtime
Keep work moving toward long-horizon goals and outcomes.
Learn more02Enterprise Agent Foundation
Security & Governance
Keep every action within identity, access, and accountability boundaries.
Learn more03Enterprise Agent Foundation
Enterprise Integration & Deployment
Bring agents into existing systems—not another isolated stack.
Learn moreTechnical questions
Understand the mechanism, boundaries, and production requirements.
01
How is the Context System different from RAG?
RAG primarily retrieves relevant material before generation. The Context System also organizes entities, relationships, permissions, state, time, and decision outcomes, then writes validated action feedback into enterprise memory—spanning retrieval, action, and continuous evolution.
02
Why does the Context Graph preserve time and state?
The same entity can have different versions, owners, permissions, and effective rules over time. Preserving time and state lets an agent determine what remains valid, what changed, and which conditions shaped an earlier decision.
03
Is the Context System a standalone product?
No. The Context System is core technology within Tezign GEA. It explains how agents understand and remember the enterprise, rather than being sold as a product parallel to GEA.
Ready when you are