Case Studies

A few engagements in detail - the situation, what I built, and what changed. Clients are anonymized, and every number here is one I can stand behind.

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Leadership team workshop

An AI afternoon that every attendee rated 10/10

A regional organization

Every leader left with a working AI setup.

A regional organization brought its entire leadership team together for a hands-on working session. The tools had arrived before the training, and the team needed a shared answer to two questions: what is this actually good for in our work, and what should never be pasted into it.

Impact I made

  • Data guardrails first, before anyone typed a prompt - a green/yellow/red framework for what is safe to put into an AI tool, set by the people who define the norms everyone else follows.
  • Each leader built their own reusable setup: a Project holding their standing instructions, a live data connection to information they actually work with, and a prompt tested against a real task from their own week.
  • Built around their real work rather than delivered as a lecture - the test being whether people were still using it seven days later, not whether they nodded along on the day.

Outcome

  • Every attendee rated the session 10/10.
  • Executive and senior leadership training of this kind has reduced 4+ hours per week per attendee in manual work.
“Best afternoon of practical learning and application. Highly recommend and will be using him again. We brought our entire leadership team together for an AI Afternoon!”
Leadership team, AI working sessionGoogle review
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One-hour staff session

One hour, and everyone left with something they could use that day

A North Carolina community college

Being brought back to train more staff across the community college system.

Staff had heard plenty about AI and had no clarity on how to actually use it. Not scepticism, and not a lack of interest: an absence of any concrete answer to "what would I personally do with this on Monday". The constraint was the format. One hour, a mixed-role audience, and no assumption that anyone had used the tools before.

Impact I made

  • Cut the explanation down to what an hour can actually carry - enough understanding of how these tools behave to use them sensibly, without a technical detour nobody asked for.
  • Taught use cases chosen for the people in the room rather than a generic list, so the examples matched work they recognised as their own.
  • Aimed the whole session at one bar: every attendee leaves with something they can use the same day. Not a reading list, not a follow-up plan.

Outcome

  • Every attendee left with at least one use case they could apply immediately.
  • Stephen is being brought back to train more people across the North Carolina community college system.
Advisory & strategy

Ongoing AI advisory, strategy, and guidance

An organization adopting AI across the team

Still working together - strategy and guidance as the decisions come up.

The organization was rolling AI out across the team and wanted someone in their corner for it: a person to answer the questions that only surface once people start using these tools on real work, and to help decide where it should go next.

Impact I made

  • AI advisory on tap - what is worth using, where it actually fits their work, and what to leave alone - answered as the decisions arrive rather than saved up for a scheduled review.
  • Strategy for where AI goes next across the team, so the rollout follows a plan rather than whoever is most enthusiastic about a new tool that week.
  • Guidance grounded in the tools the team already uses and the work they actually do, not a generic best-practice deck.

Outcome

  • The engagement is ongoing - advisory and strategy work continuing on a standing basis.

Clients are anonymized by agreement - industry and detail only, no names. Quotes are real and unedited. Where a figure appears, it is one the client and I both saw.

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