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Audit & Governance

Every AI decision, with what it cost and what it read

User, component, workflow, model, prompt version, artifact version, cost and duration — recorded for every call, because the gateway is the only way out.

5
Events
4
AI calls
₹28.26
Recorded spend
5 of 5 records
AI decision audit

Append-only record for this session

TimeActorComponentModelPromptArtifact versionCostDurationDecision
13:42:47Demo QA LeadTest IntelligenceModel Routerprompt:v7TS-0142 v12₹12.181.6sGenerated 147 test cases, each citing a source artifact
13:42:31Demo QA LeadTest IntelligenceModel Routerprompt:v7TS-0142 v12₹4.120.9sGenerated a risk-weighted strategy covering 82 scenarios
13:42:12Demo QA LeadProduct KnowledgeModel Routerprompt:v7KN-0842 v1₹9.841.2sExtracted 37 requirements, 12 business rules, 8 risks
13:41:58SALC Product KnowledgeContradiction DetectionModel Routerprompt:v7KN-0842 v1₹2.120.5sC-014 surfaced — conflicting daily transaction limit. Not resolved.
13:41:44Demo QA LeadSource Ingestion——ART-001 v17—0.7sNormalised 4 documents into source artifacts; originals retained
Trust by design

What is structurally enforced

These are properties of the architecture rather than policies someone has to remember.

  • Tenant-scoped data

    Every read is scoped to organisation and project

  • Versioned requirements

    Requirements and specifications carry versions

  • Immutable approvals

    An approval points at a snapshot, not a mutable row

  • Source citations

    Every AI output cites the artifact it came from

  • AI gateway enforcement

    No component can reach a provider directly

  • Audit trail

    User, model, prompt, cost and duration on every call

  • Untrusted-input handling

    Uploaded documents are treated as untrusted

  • Generated code isolation

    Automation lands on a branch, never on main

No security certification is claimed. These are design properties of the platform being built, not the result of an external audit.

Governance standards

Machine-checked, not reviewed

Eight standards are checked by the development harness itself, so a violation fails a build rather than surviving a code review.

  1. 01AI-gateway-only provider calls
  2. 02Citations on every AI output
  3. 03Versioning of requirements and specifications
  4. 04Contradictions surfaced, never auto-resolved
  5. 05Never on main — generated code is isolated
  6. 06Untrusted-input defence in ingestion
  7. 07Audit record for every AI decision
  8. 08Tenancy on every data read
SALC builds itself using the governance it sells

Interactive product demonstrator. This experience illustrates the designed SALC workflow using simulated project data. Production integrations and capabilities are being developed.