For engineering leaders

Ship AI-assisted code without becoming the incident report.

ConductAI gives platform teams a control plane for AI coding agents — policy personas per team, spend hard-stops, and a CI gate that blocks non-compliant commits.

AI agents are multiplying.

Every developer has Claude Code, Copilot, or Cursor. There's no inventory of what they're doing.

Spend is invisible.

AI token costs accumulate per-developer with no budget controls. Finance asks. Engineering shrugs.

The blast radius is unknown.

When an agent deletes the wrong file or exfiltrates a secret, you find out from the security team, not from a dashboard.

One control plane for every AI coding session.

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Policy personas per team

Conservative / Standard / Developer. Assign per team. Change without redeploying.

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Spend hard-stops

Per-developer and per-workspace token budgets. Agents stop when the limit is hit.

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CI release gate

conduct ci --exit-nonzero-on-block. Blocks PRs from merging if a Guard policy was violated in the session that produced them.

What changes

Month by month, the control compounds.

Month 1

Every AI coding session is visible.

You know which tools are running, who's using them, and what they're doing.

Month 3

Policy violations drop 60%.

Developers self-correct when they see the audit trail.

Month 6

Security can generate SOC 2 evidence in minutes.

No manual log review.

Ready to put a control plane on your AI agents?

ConductAI: Runtime AI Governance for Engineering Teams