Supervised autonomy platform
Your agents act.
Your people decide.
The supervised autonomy platform — where AI actions are governed by human decisions and every person unlocks the full potential of AI.
- Approvals
- Enforced, not promised
- Decisions
- Logged: who, when, what
- Deploy
- No infrastructure
- Pending review
Client comms · draft 4
Sales Agent · awaiting your approval before sending
- Approved
Invoice variance · $4,210
Billing Agent · within your $5,000 auto-approve policy
- Escalated
Vendor onboarding check
Ops Agent · escalated to M. Okafor — outside policy
- Approved
Refund request · $240
Billing Agent · refunds under $500 auto-approved
- Pending review
Support reply · ticket #9921
Support Agent · flagged for tone — needs human sign-off
Every action logged. Every decision attributable.
“How do I use AI agents in my organization — safely?”
Your AI vendor answers the capability question. Traffic Lights answers the accountability question — what is allowed, who approved it, what did they understand, and what to do when something goes wrong.
The risk leaders face
When an AI agent gets it wrong:
Enterprise AI adoption is slow — not because managers don't want it, but because they lack a safe path.
Traffic Lights provides that path.
Who is accountable?
Who authorized the decision?
Was there a human who understood it?
How do you make sure it never happens again?
What do you show regulators or the board?
How Traffic Lights works
Every agent action is governed by a policy you define.
Not a notification. A comprehension surface.
Approval is gated until the reviewer has engaged.
The agent acts autonomously within your ratified threshold
Proper escalation when uncertain — not guesses
You see the full context: what the agent did and why
Human decisions logged: who, when, what
A feedback loop adjusts thresholds as the system learns
The actual promise
Nobody does the work AI can do. Everyone does the work only humans can.
The analyst becomes the decision-maker. The coordinator becomes the manager.
- The accountable person sets policy
- Their approval gates every exception
- They are more productive, less overworked
- This is not a displacement story — it is an elevation story
AI does not replace them — it promotes them.
Approval surface — mobile
Agent drafted an email to a Tier-1 account referencing a fee change outside the ratified threshold.
- actor:
- agent.comms.v3
- policy:
- AGENT_REVIEW · threshold 0.82
- reviewer:
- r.okafor · engaged 41s
Actions unlocked after full context reviewed
The operating loop
Three steps that turn autonomous agents into a governed system your people can run — and a loop that closes on your terms.
Step 1: Define
Build your process visually — tasks, dependencies, which steps agents handle and which require human sign-off. Set the policies and thresholds that govern when agents act alone and when they must ask. Or just describe it to your AI tool and let it build for you. No code required.
Step 2: Monitor
Watch everything in one place. Red, amber, green health signal per process, SLA tracking, proactive notifications in the channel you already use. Or just ask your AI tool — the MCP server answers.
Step 3: Govern
Agents execute within your thresholds. When a threshold is crossed, the right person gets the full context — what the agent did, why, and what happens if they approve. Approval is enforced, not promised. Every decision is logged.
Improve · Govern back to Define
Outcomes feed back into policy. Patterns surface. Thresholds adjust.
But only when you say so.
Solutions
Who it is for
Operations
Running AI-assisted workflows across systems that already exist.
Managers
Moving faster on AI without losing sight of what it did.
Engineering
AI writes the code. Engineers oversee what automation cannot.
Legal & Compliance
Every action, decision, and override recorded in an audit trail that holds up.
Executive Team
Answerable for agent actions to a board, an auditor, a regulator.
No lift-and-shift. No rip-and-replace. Any cloud. Any system that emits an event.
A new category
Traffic Lights is not just a governance tool.
It is not just a workflow automation tool.
It is not just an AI monitoring tool.
It is the supervised autonomy platform — the operating model for AI in the modern hybrid enterprise.
Resources
Learn how supervised autonomy works in practice
- New · KitGovernance KitDesign a governed process, run it, and answer your board.
- Policy guideWriting your first governance policyHow to pick thresholds, choose reviewers, and decide what auto-approves.
- MCP guideConnect over MCPConnect Claude, ChatGPT, Gemini or Microsoft Copilot and work with runs and approvals in plain language.
Early access
Define your first governed process in 15 minutes.
No infrastructure to deploy. No seat licenses for approvers. Approvers tap from their phone.