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Agents do the work. People keep the call.

Every consequential action stops at a gate you set. Reviewers see the agent's plan, evidence and provenance — approve in one click, or correct it and let the work continue. Nothing happens silently.

1
Approval queue
across every agent
100%
Reasoning shown
plan, evidence, provenance
1-click
Override
correct and continue
0
Silent actions
everything on the record
ONE QUEUE

Every decision waiting on a human, in one place.

Approvals from every agent land in a single worked queue, routed by your rules — case owner, team, or a named role for specific decisions.

⛉Approvals · Your queue3 waiting · oldest 22 min
Set initial reserve at £4,200Low risk
Reserve agent · CLM-4821 · Motor — comparable repairs, no injury
ApproveAdjustReject
Offer settlement of £11,350Referral
Settlement agent · CLM-4796 · Property — above your £10k threshold
ApproveAdjustReject
Escalate to stage 2Escalated
Triage agent · CMP-1174 · Complaint — vulnerability signal detected
ApproveAdjustReject
Approvals carry SLAs — the agent chases, then escalates. Nothing times out into action.
BEHIND EVERY REQUEST
▤
The plan
What it intended to do, and why
◎
The evidence
Documents and data behind each step
⛓
The provenance
Where every figure came from
⚖
The alternatives
What it considered and rejected
Reviewers judge the reasoning, not just the answer.

Four ways a human stays in the loop.

Supervision isn't one checkpoint — it's gates before the action, thresholds around it, queues beside it and sampling after it.

⛉
Approval gates

Named steps where an agent must stop and hand the decision to a person — set per task and per level.

◈
Referral thresholds

Value, exposure and vulnerability triggers that pull a case out of the flow and route it to the right reviewer.

▥
Exception queues

Anything an agent can't resolve confidently lands in a worked queue with context attached — never a dead end.

✓
Quality sampling

A standing sample of autonomous work is re-reviewed by humans, so drift is caught before it matters.

OVERRIDES

Corrections aren't friction. They're training.

When a reviewer changes an agent's work, the case moves on immediately — and the correction becomes evidence for a better playbook.

↺
Correct in place

Change the figure, redraft the letter, reroute the case — the agent continues with your correction, immediately.

◎
Reason captured

A one-line reason on each override becomes structured feedback for the playbook owner — not a lost Slack message.

➔
Feeds learning

Corrections roll into evaluation runs, so the same mistake gets rarer over time — that's continuous learning.

Questions teams ask about supervision.

Does every action need approval?

No — that's the autonomy dial. Routine steps can run at notify or autonomous; consequential ones stay gated. You choose per task.

Who gets asked?

Routing follows your rules: case owner, team queue, or a named role for specific decisions — with cover for absence and out-of-hours.

What if nobody responds?

Approvals carry SLAs. The agent chases, then escalates up the route you define. Nothing silently times out into action.

Can a reviewer see why the agent decided?

Always. The full plan, evidence and provenance sit behind every request — reviewers judge the reasoning, not just the answer.

Scale the work. Keep the judgement.

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