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BoundedAgent

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Bounded Agent

A bounded agent is an AI agent constrained to explicit tasks, approved tools, and defined approval and escalation rules. It is the recommended pattern for industrial, enterprise, and safety-relevant agent deployments.

Why bounding matters

An unbounded agent can mutate files, call APIs, consume budget, or continue work from stale context if the runtime boundary is unclear. In manufacturing, this extends to safety-critical physical decisions. The MIT industry study found that near-term manufacturing AI value sits in bounded tool orchestration, not in fully autonomous engineering decision-making.

The bounded agent pattern

A bounded agent wraps an existing workflow rather than replacing it:

  1. Agent retrieves context from approved sources
  2. Agent calls only approved, explicitly listed tools
  3. Results are checked against acceptance criteria
  4. Evidence (logs, citations, validation output) is routed to human reviewers at defined checkpoints
  5. Humans remain accountable for high-consequence decisions

Bounding dimensions

  • Task scope — defined deliverable, inputs, and definition of done before execution begins
  • Tool list — minimal allowed tools for each workflow; never broad shell or write access in production
  • Context boundary — focused folders and relevant sources only; see ContextBudget
  • Approval rules — which actions require human confirmation; irreversible actions always require explicit approval
  • Session lifecycle — clear/compact context when work changes; do not let stale history become hidden policy

Manufacturing-specific boundary

Safety-critical design, certification, process control, and real-time physical decisions need stronger verification than most current agent systems can provide. Use deterministic fallback paths. Align AI approval with existing engineering governance structures. See EnterpriseAgentGovernance.

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