I help teams find the right use cases, build the workflows behind them, and create enough clarity for people to actually use the result.
I work across business context, technical delivery and change work so an initiative keeps moving after the first workshop.
For teams that want AI and automation to leave the slide deck, get built properly, and hold up inside real operations.
You probably already know AI should be somewhere in your roadmap. The harder question is where, and whether the effort is actually worth it. I help you cut through the noise, identify the use cases that make sense for your situation, build the business case, and map a realistic path to implementation.
Workshops and training programs designed to give teams, from leadership to operators, the mental models to think with AI and not just use tools. The goal is not a demo of what is possible. It is building the capability to keep improving after I am gone.
From validated use case to running system. I scope, prototype, and manage the delivery and stay involved through the point where it is actually being used day to day, not just handed over and forgotten.
The hardest part of AI adoption is often not the technology, but the organization around it. Misaligned stakeholders, unclear ownership, processes that were never designed with AI in mind. I work on that layer too, aligning decision-makers, redesigning workflows, and making sure what gets built actually gets embedded.
You are probably in the right place if one of these sounds familiar:
It is probably not the right fit if you need a large delivery team or a compliance audit without implementation. In those cases I am happy to point you toward the right people.
Most engagements fall into one of these formats. They are starting points, not rigid packages.
We map where you are, score the top opportunities by effort and impact, and produce a one-page decision brief. A good first step if you are not sure where to start.
We pick one specific AI or automation opportunity, validate it, build a working prototype, and determine whether it is worth scaling. Fixed scope, clear output.
The full arc, from scoped use case to live system to trained team. This is the engagement that closes the gap between a pilot and everyday use.
I act as your embedded AI lead, sitting in on relevant decisions, guiding implementation partners, and keeping the strategy tied to what is actually being built. Good for companies that need senior AI judgment without the full-time hire.
Every engagement starts with a conversation. I will tell you honestly if I am the right fit or not.
Specific enough to be credible, anonymized enough to keep client names private.
A manual reporting process was consuming around 15 hours per week across the operations team. In a four-week engagement, we scoped, built, and deployed an automated workflow.
Outcome: under two hours of weekly manual work remained, and the team extended it to two more processes within three months.
Leadership had heard a lot about AI but had not found the right entry point. A two-week audit surfaced seven potential use cases, scored by effort and impact, and shortlisted two for immediate action.
Outcome: the first build started the following month with the existing team and budget.
A solid internal AI roadmap existed on paper, but adoption was stuck at around 20 percent. We redesigned the rollout approach across stakeholder alignment, team training, and feedback loops.
Outcome: adoption rose to roughly 75 percent over one quarter.
Numbers reflect real outcomes. Company names withheld.
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If you are evaluating AI opportunities, shaping a rollout or trying to get adoption unstuck, I can help structure the next move.
