Wrong source
An emailed bank account conflicts with the authoritative ERP record.
Trusted evidence for enterprise AI
Make sure AI acts on the right information.
EnterpriseContextGraph verifies the evidence behind important AI decisions—whether it is authorized, current, authoritative, complete, and consistent—before the decision becomes an action.
Detect conflicting records, missing approvals, stale policies, and prohibited data. Preserve exactly what the AI was allowed to rely on in an auditable decision record.
Works across models, agents, enterprise search, data platforms, and systems of record.Authorized for the purpose · Valid at decision time · Auditable later
The problem buyers already recognize
AI can find information. It cannot automatically know what it should trust.
Search, RAG, and enterprise copilots retrieve relevant content. They do not necessarily determine which source governs a particular decision, whether the agent is permitted to use it for that purpose, whether it was current at the time, or whether required evidence is missing.
Missing approval
A privileged-access request has a manager approval but no valid employment status.
Stale policy
A contract exception is evaluated against an outdated fallback clause.
Wrong artifact
A production deployment uses an approval issued for a different commit.
Your AI can search across company data.EnterpriseContextGraph tells you whether it may rely on what it found.
What EnterpriseContextGraph does
Before AI acts, verify the evidence behind the decision.
Identify the decision
Define what the AI is trying to decide, for whom, for what purpose, and at what point in time.
Find the required evidence
Retrieve candidate information from the systems the enterprise already uses.
Verify what may be trusted
Check permissions, authority, freshness, completeness, and contradictions.
Create the decision record
Preserve the accepted, rejected, missing, and conflicting evidence in an auditable record that can be verified later.
Decision Evidence Request → Evidence Resolution → Evidence Receipt→ Auditable Decision Record
Implemented technically as a Context Request, Evidence Manifest, and signed Context Bundle.
A worked example
A payment-change request looks legitimate. The evidence says otherwise.
Request
A vendor emails new bank details. An AI workflow prepares to update the payment account.
Verification
EnterpriseContextGraph checks the vendor master record, the executed contract, prior payment history, requester identity, the change ticket, and independent verification.
Conflict detected
The emailed account does not match the authoritative ERP record.
Required evidence missing
Independent verification has not been completed.
ResultPayment change held for review.
The organization receives a signed decision record showing which sources were checked, what conflicted, what was missing, and why the workflow was stopped.
Interactive demonstration
Inspect the verification result yourself.
Simulated Acme data. The live sandbox resolves the same request through the evidence pipeline when available.
Interactive product demonstration using simulated Acme data
01
Input
Context Request
- Agent
- agent:vendor-ops
- Workload
- spiffe://acme/agents/vendor-ops/prod
- Purpose
- verify_vendor_payment_change
- Decision
- vendor_payment_change
- Subject
- vendor:atlas-industrial
02
Resolution
Evidence relationships
✓ Included
sha256:80bc…7e12ERP vendor master
Authoritative bank account ends in 8842. The requested account does not match.
- Authority
- Authoritative for payment instructions
- ACL decision
- Admitted by source ACL + purpose policy
- Time
- valid 2025-11-02 → current
- Freshness
- Observed 8 seconds ago
03
Output
Evidence Manifest
Included4
Excluded2
Redacted1
Contradictions1
Missing requirements1
Replay fidelityexact
SignatureECDSA P-256
ResolutionREQUIRES_ESCALATION
Bank details conflict with the authoritative ERP record, and independent verification is missing.
Why use it
Use EnterpriseContextGraph when the cost of using the wrong information is high.
Prevent avoidable errors
Stop important AI workflows from relying on unofficial, outdated, incomplete, or contradictory information.
Expand AI authority safely
Give agents more useful responsibility without giving them unrestricted freedom to interpret the company’s entire data estate.
Reduce unnecessary manual review
Escalate decisions when evidence conflicts or mandatory information is missing—not merely because an AI system was involved.
Make decisions auditable
Preserve the evidence state behind each important recommendation, approval, denial, or escalation.
Accelerate investigations
Reconstruct what the AI was permitted to see and what it knew at the time instead of rebuilding the decision from logs, documents, and disconnected systems.
Enforce purpose-specific permissions
A user’s ability to open a file does not automatically mean a delegated agent should be allowed to use every field in that file for every task.
Best initial trigger“We are preparing to allow AI to influence or initiate an important enterprise workflow.”
EnterpriseContextGraph is for organizations moving AI from answering questions to influencing decisions that affect money, access, production, contracts, customers, or physical systems.
Reference workflows
Start where evidence failure creates a clear consequence.
Each workflow begins with named evidence requirements, authority, freshness, and permission boundaries—not a universal enterprise ontology.
Vendor payment change
- Owner
- Accounts payable
- Required evidence
- ERP master, contract, prior payment, requester identity
- Authority
- ERP + treasury
- Freshness
- ≤ 5 minutes
- Permission
- Payment-review purpose only
- Common conflict
- Email bank details differ from ERP
Privileged access request
- Owner
- Security
- Required evidence
- Employment, role, ticket, asset criticality, approvals
- Authority
- IdP + HRIS + ITSM
- Freshness
- Live identity required
- Permission
- Named workload and environment
- Common conflict
- Manager approval vs terminated identity
Production change
- Owner
- Platform engineering
- Required evidence
- Change plan, tests, service owner, incident state
- Authority
- Git + CI + CMDB
- Freshness
- Current deployment head
- Permission
- Production change purpose
- Common conflict
- Approved commit differs from artifact
Contract exception
- Owner
- Legal operations
- Required evidence
- Executed terms, fallback policy, precedent, authority
- Authority
- CLM + policy repository
- Freshness
- Effective policy version
- Permission
- Matter-scoped disclosure
- Common conflict
- Draft term conflicts with approved fallback
Retrieval is not proof
Your agents can retrieve enterprise information. Can you prove they were allowed to rely on it?
Relevant content may not be authorized, authoritative, current, sufficient, or reproducible for an important decision. ECG evaluates each candidate before it becomes evidence.
Enterprise search or RAGEnterpriseContextGraph
Begins with a natural-language query✓Begins with a structured Decision Evidence Request
Optimizes for relevance✓Optimizes for evidence the AI is allowed to trust
Returns accessible, relevant results✓Returns the evidence required for the decision—nothing more
Primarily enforces document visibility✓Checks the agent, the person, the workload, and the purpose
Usually emphasizes current indexed state✓Checks what was valid and known at the moment of decision
Ranks sources by relevance or quality✓Uses the source that officially governs the decision
May suppress or blend disagreement✓Surfaces conflicting records instead of hiding them
Missing content may be invisible✓Names required evidence that is missing
Produces answers and citations✓Produces an Evidence Receipt and an Auditable Decision Record
A later query may return something different✓Preserves the original evidence state for reconstruction
Search finds information.EnterpriseContextGraph establishes evidence the AI may rely on.
Auditable Decision RecordDelivered as a signed Context Bundle
The exact information the AI was allowed to use—provable later.
A tamper-evident record of what was included or rejected, which policy applied, what conflicts were found, and what was missing. Hand the reference to an agent, an approval system, or an auditor.
- bundle_id
- cb_01K_VENDOR_9381
- resolution
- requires_escalation
- policy
- vendor_payment@7.3
- replay
- exact
- signature
- verified
Evidence ReceiptEvidence Manifest · schema 0.1 draft
Every source accounted for.
✓ERP vendor master · authoritative
✓Signed vendor contract · corroborating
✓Previous payment record · current
✓Recent change event · workflow state
The resolution pipeline
One request in. One verifiable evidence state out.
Every stage records what it received, which policy it applied, what it emitted, and how it could fail.
01
Input
Human, agent, workload, purpose, decision, subject, and time.
Policy
Request schema + evidence profile
Output
Bound decision scope
Possible failure
Unresolved identity or purpose
Evidence recorded
Signed request digest
Permission-aware is not enough. Context must be purpose-aware.
A human may be able to open a SharePoint file while the delegated agent is prohibited from using its sensitive fields for a payment change.
human authorityagent authorityworkload identitydelegated scopesource ACLtask purposeclassificationdisclosure policy= permitted evidence
Inspect the permission model →What was true is not always what was known.
ECG separates business validity from observation and storage so a replay never smuggles future knowledge into a past decision.
Jun 01Assertion becomes validvalid_time
Jun 03Source records changeobserved_at
Jun 04ECG stores versionrecorded_at
Jul 22Decision replayedknown_at boundary
Contradictions + gaps
Do not hide uncertainty inside a confidence score.
Conflicting bank details, stale identity data, non-authoritative attachments, and absent verification remain explicit inputs to policy.
○Proceed
○Proceed with warning
○Require evidence
!EscalateCurrent sample resolution
○Abstain
Replay
Reconstruct what the AI knew—not a model’s explanation of it.
Every replay declares what can still be proved and redisclosed. Source deletion, retention, or authorization changes may reduce fidelity.
Reproducible context does not guarantee deterministic model output. ECG proves the evidence environment supplied to the model.
Run the sample replayavailableExact
All pinned source versions and artifacts retained
supported classCryptographically proven
Content unavailable; digest and inclusion verified
defined classFunctionally equivalent
Equivalent components reconstruct the environment
defined classPartial
Named artifacts or permissions unavailable
defined classNon-replayable
Retention or source state prevents reconstruction
Existing-stack integration
Use the systems you already trust. Add one evidence boundary.
EnterpriseContextGraph can supply verified decision evidence to any agent, workflow, approval system, policy engine, or control plane. Retrieval systems supply candidates; identity and policy systems supply decisions; ECG binds them into one verifiable evidence state.
Systems of record
ERP · CRM · ITSM · CLM
Content systems
SharePoint · Drive · Box · email
Data platforms
Warehouses · databases · streams
Identity + authorization
OIDC · SCIM · SPIFFE · Cedar · OPA
Search + retrieval
Enterprise search · lexical · vector
Agent runtimes
APIs · MCP · framework adapters
Observability + lineage
OpenTelemetry · OpenLineage
DecisionHypervisor
Native bundle reference handoff
No connector logo is presented as production-ready. Availability and permission-fidelity limitations are published in the connector catalog.
Deployment + trust
Begin with one bounded workflow.
Architecture can support SaaS, dedicated, customer-controlled, and sovereign deployment patterns as product availability expands. Product, connector, deployment, and security claims stay qualified until measured and verified.
Developer quickstart
Resolve. Verify. Hand off the reference.
The public contract is a disclosure-safe draft. SDK and API availability remain labeled until packages and endpoints ship.
Start the sample quickstartvendor-payment.tsTypeScript · draft
const bundle = await ecg.resolve(request);
await ecg.verify(bundle);
await decisionHypervisor.evaluate({
contextBundleRef: bundle.id
});✓ Bundle verified · resolution requires_escalation
Native portfolio relationship
Evidence before authority.
EnterpriseContextGraphProves what evidence may be relied upon
→ signed bundle →DecisionHypervisorDetermines whether the resulting action may execute
→ outcome →HeadlessAnalyticsRecords execution and outcome evidence
Start with one decision
Choose one high-risk AI decision. We will show whether its evidence holds up.
Map the systems, permissions, sources, conflicts, missing requirements, and reconstruction gaps before the decision ships to production.