Human Experts Supervising AI Agent Fleets

Enable small teams to oversee many autonomous agents. Graceful escalation when uncertain, knowledge capture from interventions, and continuous improvement loops.

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The Challenge of Scaling AI Agents

Traditional automation operates without oversight (risky) or requires human approval for every action (slow). There's a better way.

Fully Autonomous

Agents make mistakes with no oversight. Edge cases cause errors. No mechanism for improvement.

Fully Manual

Every action requires approval. Doesn't scale. Bottlenecks on human availability.

Overwatch Model

Agents work autonomously, escalate when uncertain. Experts supervise efficiently. Knowledge captured.

Everything You Need for Agent Oversight

A complete toolkit for human-agent collaboration, from triage to intervention to knowledge capture.

Kanban Triage Board

Monitor all agent sessions at a glance. Sessions organized by state, with freshness indicators for prioritization.

Kanban Triage Board

Session Detail View

Complete control panel with transcript, tool log, pause/resume, and manual intervention capabilities.

Session Detail View

State Machine Agent

Autonomous agent with defined workflow stages. Handles routine work, escalates edge cases automatically.

State Machine Agent

Reusable Recipes

Capture expert interventions as reusable step-by-step guides. Draft from conversation, apply with one click.

Reusable Recipes

Executable Playbooks

Risk-stratified automation. Low-risk runs immediately, medium/high requires approval. Full audit trail.

Executable Playbooks

Supervision Signals

One-tap verdicts anchored to specific actions. Capture training data for SFT and reinforcement learning.

Supervision Signals

How It Works

A three-tier architecture that balances autonomy with oversight.

1

End Users Interact with Agents

Autonomous agents handle routine interactions following a defined state machine. In the demo, this is a scheduling coordinator helping candidates book interviews.

2

Agents Escalate When Uncertain

When the agent encounters edge cases or uncertainty, it pauses and surfaces the session for expert review. Drafts are held for approval.

3

Experts Supervise & Improve

Human experts review from the Kanban board, intervene when needed, and capture knowledge as recipes. Feedback loops improve agent behavior.

Agent State Machine

Intake
Collect Availability
Compute Slots
Propose Options
Book & Confirm
Escalate to "Needs Expert" when blocked

Ready to Transform Your Agent Operations?

Join the waitlist to get early access and be among the first to experience human-expert supervised multi-agent coordination.

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