Build agentic AI workflows that are safe to run in production.
A productized build of an agentic automation stack with approval gating on every irreversible action. Read broadly, write narrowly. Used inside portfolios, not in pilots that never ship.
When this engagement makes sense
An AI pilot is on month six and has not made it to production.
The leadership team wants to deploy agents but cannot agree on the guardrails.
A portfolio thesis depends on AI-driven margin and the operating team has no playbook.
Operations cost is creeping and the obvious automation targets have not been touched.
The board wants an AI agenda that is honest, not theatrical.
Most AI pilots stall because no one trusts them to act. The fix is governance, not more model. Agents that can read everything and write nothing are useless; agents that can write anything are a liability. The right shape sits between them, with explicit approval on every irreversible action.
The deliverables
Workflow opportunity map
The 8 to 15 workflows in the business where agents have the highest ROI. Scored by value, feasibility, and risk. Top three picked for build.
Governance and approval architecture
Read-broadly / write-narrowly architecture. Human approval gates on every irreversible action. Audit trail by default. Documented for the board and the auditor.
Production-ready build
The top one to three workflows shipped into the business with monitoring, fallback, and rollback. Not a demo. Not a notebook.
Team enablement
The operating team trained on how the agents work, where they break, and how to escalate. Ownership stays inside the business.
Ongoing CAIO oversight
Optional fractional Chief AI Officer seat across the portfolio: roadmap, risk, vendor decisions, and quarterly board updates.
How this is priced
Kickstart
Find the highest-value workflows. Map governance posture. Decide what to build.
Build
Ship one to three agents into production with approval gating and monitoring.
Fractional CAIO
Ongoing ownership across one company or across the portfolio. Roadmap, risk, vendor calls, board updates.
A good fit if
- Operators ready to move beyond demos and put agents to work.
- PE operating partners running an AI thesis across the portfolio.
- CEOs who need a credible AI story without the vendor-pitch theater.
- Boards weighing real risk on agent deployments.
Probably not if
- —Teams looking for a research project rather than production deployment.
- —Companies whose first step is a model choice rather than a workflow choice.
- —Sponsors who want a check-the-box AI initiative for the LP letter.
Three agents in production, zero unauthorized actions in twelve months.
A services company deployed agents across lead qualification, ticket triage, and invoice classification. All three read broadly. None acted without human approval on anything irreversible. Twelve months in, more than 40,000 actions had been auto-classified, with zero unauthorized writes and a full audit trail. The CAIO seat continued at the portfolio level.
What buyers ask
What often comes next
Ready to move?
Kickstart $10,000 · Build $25,000 to $40,000 · Fractional CAIO $10,000 / mo