AI Evidence Plane
Discuss one workflow

How it works

Build. Govern. Operate. Prove.

Build and approve AI workflows, govern execution, observe every run and prove every outcome.

Explore the platform Discuss one workflow
Four connected platform surfaces forming one lifecycle loop around a central control plane.
  • Build
  • Govern
  • Operate
  • Prove
  • AI Evidence Plane

One connected lifecycle from development to production evidence.

01 · BUILD

Move AI workflows into production with less friction.

Design workflows, version prompts, test changes and promote approved configurations.

Graphical development surface connecting registry, prompt, workflow testing, approval and promotion into production.
  • Registry and prompts
  • Graphical Config Bench
  • Test
  • Approve
  • Promote
AI RegistryKnow what exists, which version is active and who owns it.
Prompt ManagementTest and approve prompt changes without hidden drift.
Graphical Config BenchBuild, test and promote workflows with less custom development.

Lower development effort · Faster testing · Controlled promotion · Lower token cost

02 · GOVERN

Keep AI execution inside approved boundaries.

Place proposed actions inside an approved execution path, with evaluation, approval and governed remediation before commit.

An authorised production execution path with a coral exception route that blocks, remediates and returns to evaluation.
  • Governed Execution
  • Proposed Action
  • Prepare
  • Evaluate
  • Approve
  • Commit
  • Block
  • Re-evaluate
  • Governed Remediation
Execution contractResolve the approved agent binding, configuration, tools and controls.
Action gatesEvaluate and approve consequential actions before commit.
Governed remediationBlock, correct and re-evaluate failed execution.

Fewer unauthorised actions · Safer recovery · Verified remediation

03 · OPERATE

Know when quality, reliability or cost moves outside tolerance.

Track production quality, reliability, recovery and cost through workflow-level SLOs and operating signals.

Multiple production workflow streams feed a correlated operating view with quality, reliability, alerting and cost signals.
  • Workflow
  • Quality SLOs
  • Reliability SLOs
  • Alerts and notifications
  • Recovery

Earlier detection · Shorter recovery · Cost per successful outcome

04 · PROVE

Prove every production workflow instance.

Connect the Execution Trace, Governance Trace and Evidence Graph into one verifiable record for each production workflow instance.

Execution and governance traces converge into an Evidence Graph and verified record for a production workflow instance.
  • Workflow Instance
  • Execution Trace
  • Governance Trace
  • Evidence Graph
  • Verified Record
Execution TraceWhat happened during the workflow instance.
Governance TraceWhich controls, evaluations, approvals and remediation decisions applied.
Evidence GraphThe connected evidence record produced for that production workflow instance.

What ran · What governed it · What changed · What outcome followed

Use cases

Different teams. One AI control gap.

The challenge changes by role. The missing connection between approval, execution and evidence does not.

Explore use cases

Bring one production AI workflow.

See how it can be built, governed, operated and proven.

Discuss a design-partner pilot Explore use cases