AI that clocks in, not AI that demos.
Strategy and hands-on build from the same person.
I help teams find the AI use cases worth funding, then build the agents and workflows that do the work, with the guardrails, measurement and training to keep them running after handoff.
Most companies don't have an AI problem. They have a pile of pilots, a few chat tools nobody trusts, and no line from AI spend to results. The gap isn't the model. It's choosing the right work, wiring it into the systems you already run, and owning it in production.
From use case to production
One engagement covers the plan and the working system, so nothing gets lost between a strategy deck and a dev team.
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AI opportunity workshops
Executive sessions that turn "we should use AI" into a ranked list of use cases scored by value, effort and risk.
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Agents & workflow automation
Agents that read, draft, route and update across your tools, with a person in the loop wherever judgment matters.
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Answer engine optimization
Content scored and restructured so AI assistants and search engines cite you instead of your competitors.
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Internal AI operations
Estimating, contracting, forecasting and reporting workflows that hand your team back hours every week.
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Governance & guardrails
Usage policy, data boundaries, review steps and monitoring, so AI output is something you can stand behind.
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Team enablement
Hands-on training and playbooks so your people run and extend the systems without me in the room.
Small steps, proven on real data
Nothing goes to production until it has beaten the baseline we agreed on.
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Workshop
Leadership and the people doing the work map where time and money actually go.
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Prioritize
A ranked roadmap of use cases with expected value, effort and risk for each.
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Pilot
One use case, built on real data and measured against the baseline.
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Scale & hand off
Hardened for production, documented, and handed to a team that can run it.
Shipped, not slideware
Enterprise AI work includes an event assistant for AMGA, an AEO content-scoring tool for RILA and Advancial, and a personalized advice engine.
A good fit if
- You have AI budget or board pressure but no clear priorities
- Your team loses hours to repeatable document and data work
- Pilots stalled before they reached real users
- You want to show up in AI answers, not just search results
What you walk away with
- A prioritized AI roadmap leadership can defend
- Working agents and workflows inside your own tools
- Guardrails, usage policy and measurement
- A team trained to run it after handoff