Context OS for Agentic Intelligence
Context OS Architecture - How ElixirData Governs AI Execution
Architecture Overview
Context OS Architecture Overview
The Context OS architecture separates intelligence from execution control, ensuring AI systems operate within explicit, enforceable constraints
Architecture Overview
Context Sources
Capture enterprise reality across systems + decisions
Context Resolution
Resolve conflicts, precedence, freshness, versioning
Control Plane
Policies + authority + risk + autonomy limits
Execution
Incremental execution with continuous verification
Evidence
Provenance, policy checks, traces, interventions
Models never act on Raw Reality
Only minimal, resolved context survives into execution-time decisions
Execution is Gated by Policy
Every action is evaluated against authority, approvals, and risk thresholds
Evidence is generated Automatically
Auditability is produced by construction — not reconstructed after incidents
Layered Architecture
Five layers that make execution enforceable
Each layer tightens ambiguity into enforceable reality — from captured context, to deterministic resolution, to policy gates, to verified execution, to evidence
Layer 1: Context Sources
What is True
Enterprise reality is captured from systems, policies, and human decisions — producing a living operational record, not static documentation
Systems of record (CRM, ERP, IAM)
Policies, approvals, and exceptions
Human decisions and overrides
Historical Outcomes
Layer 2: Context Resolution
Deterministic
Raw context is resolved deterministically so only minimal, relevant context survives. Models never see raw enterprise state
Conflicts are reconciled
Precedence is enforced
Freshness and versioning are applied
Only minimal, relevant context survives
Layer 3: Control Plane
What is Allowed
Every potential action is evaluated against explicit constraints. Violations are structurally impossible to execute
Policy and Regulation
Authority and Approvals
Risk Thresholds
Autonomy Limits
Layer 4: Execution & Verification
Verified
Execution occurs incrementally with continuous verification and immediate rollback on violation — with no hidden state
Incrementally
With continuous verification
With immediate rollback on violation
With no hidden state
Layer 5: Evidence by Construction
Auditable
Every execution produces evidence by default. Evidence is produced, not reconstructed
Decision Provenance
Policy Evaluations
Tool usage Traces
Human Interventions
Infrastructure
Deployment Model changes Infrastructure ownership
Drive intelligent, data-driven decisions that reduce costs, accelerate outcomes, and deliver sustained measurable ROI
FAQ
Frequently Asked Questions
The architecture separates context resolution, policy enforcement, execution, and evidence generation to ensure AI actions are validated before they run.
Enterprise data is ambiguous. Context must be resolved deterministically before it is safe for AI systems to act.
The Control Plane evaluates every action against policy, authority, risk thresholds, and autonomy limits before execution.
The action is blocked, escalated, or degraded. Violations are structurally impossible to execute silently.
Audit evidence is generated automatically during execution, not reconstructed after incidents.
Context is the New Compute. Trust is the new execution layer
ElixirData's Business Context OS governs how AI systems operate — enforcing policies, validating context, coordinating agents, and producing auditable outcomes before actions execute