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Govern every AI agent
before it touches production.

Kommit shows who owns each agent, what it can access, which policy allowed a run, what it cost, and where a human approved it. One control plane for inventory, gates, evidence, and audit.

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Agent inventoryPolicy-gated runsAudit-ready evidence
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envProduction
Enterprise AI Control PlaneProduction monitoredUpdated 2 min ago

Deploy governed AI workflows
into complex enterprise environments.

Design, configure, monitor, and audit AI agents across workflows, legacy systems, policies, and production environments.

Workflows in production
14 / 24
Runs (24h)
12,842
Telemetry coverage
92%
Evidence coverage
87%
ACTIVE WORKFLOWS
24
↑ +3
ACTIVE AGENTS
18
↑ +2
HUMAN APPROVALS
8pending
↑ +2 since yesterday
POLICY FLAGS
3active
↓ −1 this week
SUCCESS RATE
98.6%
↑ +0.4
PRODUCTION HEALTH
99.9%30d uptime
· stable

Workflow Orchestration

· Claims Processing v3.2Productionv3.2
EnvironmentProduction
Last run2 min ago
Success98.2%
Avg latency2.4s
RiskMedium
Compliance1 warning
Kommit control plane showing a governed AI workflow dashboard with active workflows, agents, approvals, and policy flags

Plugs into the AI stack your team already runs

Anthropic
OpenAI
Mistral AIMistral AI
Hugging FaceHugging Face
Google Vertex
AWS Bedrock
Azure AI Foundry
LangChain
PineconePinecone
DatadogDatadog
The problem / agents outpace governance

Enterprise agents are moving from demos to production. Most controls are still manual afterthoughts.

Kommit puts governance in the path of the work: inventory first, policy before action, human review for exceptions, and evidence preserved for security, compliance, and audit.

Before

What breaks without a control plane

  • Teams deploy agents before anyone knows who owns them or what they can accessunknown surface area
  • Approvals happen in Slack, tickets, spreadsheets, and memorylost rationale
  • Model calls, tool writes, and retrieved data sit in separate logsbroken lineage
  • Security reviews start after the incident instead of before the runlate controls
  • Regulators, customers, and boards ask questions the team cannot answeraudit scramble

After

What Kommit makes defensible

  • Every agent has an owner, access scope, environment, and review pathknown inventory
  • Risky actions pause with prompt, context, policy, cost, and tool write visiblereviewable action
  • Policy, data handling, approval, and exception records stay with the runattached evidence
  • Compliance reviews packets of evidence instead of reconstructing eventsaudit-ready packet
  • Engineering can scale useful agents without creating an invisible risk layercontrolled scale
The control model / inventory to evidence

Every autonomous run gets the same evidence trail.

Start with a known inventory, gate the actions that matter, and preserve the proof your reviewers will need later.

01 / Inventory

Know every agentbefore it acts.

Capture owner, purpose, model, tools, data sources, access scope, and environment. The agent surface becomes visible before risk hides in production logs.

02 / Gate

Pause risky workwith context.

Sensitive actions stop with the prompt, retrieved context, policy result, projected cost, and tool write in one review record. Approvers decide with evidence, not screenshots.

03 / Prove

Export evidence,not explanations.

Each run leaves a packet: what happened, why it was allowed, who reviewed it, what it cost, and which exceptions remain. Audit starts from the record, not from a reconstruction.

Inside the control plane

The screens your security, engineering, and finance teams need to trust autonomous agents.

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06 · Control plane architecture

One record across agents, models, and production systems.

Kommit connects the systems your agents already touch, then keeps ownership, policy, approval, cost, and evidence in the same run history.

Isometric diagram showing the Kommit control plane between AI agents and business systems.
Isometric control surface showing registered AI agents and workflow boundaries.
01 · Agent inventory

Stop guessing which agents are in production.

Track each agent's owner, model, tools, data sources, environment, access scope, and review path before it becomes another unmanaged production dependency.

Isometric approval gate set into a pipe, holding one item before it clears.
02 · Human in the loop

Make approval part of the run.

When a workflow crosses a threshold, reviewers see the prompt, context, policy result, projected cost, and intended tool write before anything clears.

Isometric socket with interchangeable model blocks; one is active.
03 · Model and cloud routing

Route work without losing accountability.

Choose models, regions, and tools by task, cost, latency, or policy. Kommit keeps the reason for each route attached to the run.

Isometric chain of signed record plates linked in sequence.
04 · Decision trace

Every decision is answerable.

Prompts, context, retrieved data, tool calls, policy checks, approvals, exceptions, and outputs stay together for security and audit review.

Isometric deployment and cost panel showing governed agent runtime choices.
05 · Cost and efficiency

See which agents deserve more scope.

Compare runs by spend, latency, approval load, retries, model choice, and outcome quality before expanding the agents that create new risk.

Anatomy of a run / signed trace

Every run is a live operator record, not a screenshot pasted into a ticket.

Watch the agent, review the evidence, export the trace, and keep the human checkpoint in the same system.

kommit ops
Run trace/claims.triage/run-9f4a3c81
Ready for reviewExport evidence
TraceContextTerminal
$ kommit run claims.triage --env prod --trace────────────────────────────────────────────────[14:08:42]  trigger   → claim-90412 received . servicenow webhook[14:08:42]  policy    ✓ PII-Strict v4 bound . sha256:af20[14:08:42]  redact    ✓ 14 PII fields . before model call[14:08:43]  fetch     ↓ claim_history . 98ms . 11 rows[14:08:43]  agent     → risk-evaluator . gemini-2.5-pro[14:08:44]  eval      ✓  schema=valid             . confidence=0.91[14:08:44]  gate      ! score=0.84 → approve . threshold 0.70[14:08:44]  review    □ priya.r@kommit . queue 4m18s[14:13:02]  review    ✓ dual-control signed . sig=0x4f2b[14:13:02]  receipt   ✓ evidence packet sealed . reviewer copy queued[14:13:02]  write     → sap.s4hana/claim-90412 . sha256:1810────────────────────────────────────────────────✓  run-9f4a3c81   4m20s   $0.012   chain verified audit export
Setup● Run+$ npm run agent-auditready in 426ms

Typical rollout / 14 days

Find the agent risks worth fixing before the audit asks.

In a 14-day audit pilot, Kommit maps your active agent surface, shows where evidence is missing, and recommends the controls to automate first.

Agent inventory

identify active agents, owners, tools, data sources, access boundaries, and policy gaps

Run evidence review

compare cost, latency, retries, approval load, exceptions, and completion quality

Compliance map

map evidence gaps against EU AI Act, NIS 2, ISO 27001, SOC 2, and internal audit

Human review plan

define approval checkpoints, escalation paths, and the controls to automate next

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Evidence architecture for regulated agent adoption

Turn autonomous work into evidence your risk team can defend.

Kommit turns decisions, approvals, spend, tool calls, and policy exceptions into artifacts that fit beside your existing compliance workflow.

Framework evidence map

policy / approval / rationale / spend

01risk evidence

EU AI Act

Risk classes, oversight points, and exception records.

02resilience

NIS 2

Operational resilience and supplier exposure trails.

03control map

ISO 27001

Control ownership mapped to live agent activity.

04trust report

SOC 2

Trust service evidence for security reviews.

Standalone review pack

Internal audit

Traceable review packs for internal assurance teams. Kommit separates reviewer notes, approvals, exceptions, and rationale into a packet your security team can inspect without reconstructing the run.

Reviewer notes

Human decisions kept with the run.

Approval trail

Who approved what and when.

Export packet

Ready for audit and board review.

Kommit helps teams produce evidence for their own audits. It does not claim certification for customers.

Request access / 14-day rollout

Know which agents are safe to scale.

In a 14-day audit pilot, we map your agent surface, identify the missing evidence, and show where policy gates and human review belong.

Day 0-3
Inventory agents, tools, owners, and unmanaged access
Day 4-9
Bind audit trails, cost views, policy gates, and review queues
Day 10-14
Review evidence, rank efficiency, and plan the next controls
hello@getkommit.ai·Maps to SOC 2 · ISO 27001 · EU AI Act·No agent rewrites required