For COOs and operations leaders

AI Adoption for COOs and VPs of Operations

The AI mandate landed on you along with everything else. I help you turn it into a funded plan, a live workflow, and a number you can put in front of the CEO.

Book a 30-minute callTake the 2-minute scorecard

No pitch. If I can’t find a workflow worth automating, I’ll tell you on the call.

The situation you are probably in

AI is on the strategy slide and in the budget conversation. It landed on your desk because operations is where the volume is. You have had the vendor demos, you may have a pilot running somewhere, and you do not yet have a number you would put in front of the CEO.

You do not need another strategy deck. You need someone who has sat in your seat, can map the work, pick the right targets, get the first one live, and hand you the readout.

What working with me looks like

I run the same sequence every time because it works: map the work, pick the targets, prove it small, roll it out properly, and measure it. I have run support operations behind 500,000 monthly contacts across 12 sites, led three platform migrations, owned the tooling budget, and been accountable for the results afterward. That is the seat I bring.

  • A short list of workflows where AI pays for itself this quarter
  • A plan with owners, metrics, and budget you can defend
  • One workflow live and measured inside 90 days
  • A monthly readout your CFO will accept

Where to start

Most COOs start with the AI Operations Assessment, which produces the plan. If you already know the target, we go straight to Pilot to Production. If you need a standing owner for AI in operations, the fractional engagement covers it.

Questions

What people ask first.

How is this different from hiring a big consulting firm?

You get one senior operator, not a team of analysts, and the work is scoped to produce a live workflow and a number, not a report. Engagements are fixed fee or a monthly retainer, with no incentive to extend.

What size company is this right for?

Any size where there is real operational volume and no dedicated AI team. In practice that is usually a company past its first fifty people, or a specific division inside a larger one.

Which AI tools and vendors do you work with?

I am vendor neutral. I have bought and implemented platforms such as Zendesk, Twilio Flex, and 8x8 at Lyft scale, and I build with Claude, OpenAI, and current agent tooling every week. The recommendation follows the workflow, not the other way around.

Do we need engineers for this to work?

Usually not for the first wins. Most operations automation comes from well-defined workflows and off-the-shelf tooling configured carefully. When a build is needed, I write the first version or a spec your engineers can act on.

We are in a regulated industry. Is that a problem?

It is the normal case for me. I run operations under FCRA today, and at Lyft I worked through regulatory programs that required careful tradeoffs. Compliance is designed into the workflow with audit trails and human review, not bolted on afterward.

Further reading
AI & Operations

How Non-Technical Leaders Should Think About AI

A decision framework for leaders who are not engineers: where AI fits, where it does not, and how to avoid the AI-first traps that waste a quarter.

AI & Operations

Eliminate, Automate, Too Late: How to Sort Support Work Before You Automate It

The EAT framework (Eliminate, Automate, Too Late) for deciding which customer support work to remove, which to automate with AI, and which to leave to people, plus how to classify customer pain at scale with an LLM.

Let’s find the first workflow.

Thirty minutes. Bring the process that eats the most time. You leave with a view on whether AI can help and what it would take.

Book a 30-minute call