AI consulting / practical digital transformation
I find the workflow where AI pays, ship the first working system with your team, and leave you able to run it without me.
The starting point / 01
Buying another AI subscription will not transform your business. Choose a costly, slow, or inconsistent workflow. Improve it. Measure the result. Then build the muscle to do it again.
Why me / 02
These are systems I built and scaled in operating roles. They are not testimonials from consulting clients.
6,000+ annotators · 20+ tools · 5 time zones
11+ coaches trained · 209% YoY growth
3 city pilots → 2 countries
Digital + AI maturity / 03
Read left to right. Pick the stage that best describes how work gets done today, then use its next move as your starting point.
Stage 01
“Some of us use ChatGPT sometimes.”
Individuals choose their own tools and methods. Useful work happens, but leadership cannot see the value or risk.
Choose one repeated workflow and measure how it works today.
Stage 02
“Teams have approved tools and shared habits.”
People use AI regularly with basic guidance. Results still depend on who knows the best prompts and workarounds.
Document one owned workflow with inputs, review steps, and a target.
Stage 03
“AI runs inside owned, measurable workflows.”
AI connects to company knowledge and tools. Owners track speed, quality, cost, and exceptions against a baseline.
Connect proven workflows and manage them as an operating portfolio.
Stage 04
“AI changes how the business operates and competes.”
Products, roles, and decisions are redesigned around AI. Company data and feedback loops create a durable advantage.
Keep evaluation close to customers and protect the learning loop.
Ways to work together / 04
Each engagement produces a decision, a working capability, or both. No transformation theater.
Typical scope: 2 weeks
Map the work, identify friction, and rank opportunities by value, feasibility, and risk. Leave with a 90-day roadmap your team can execute.
CommitmentThe Opportunity Map fee is credited toward a Pilot if we continue.
Typical scope: 4 to 6 weeks
Most start hereDesign and ship one production-ready workflow with the people who will own it. Measure the result against how the work gets done today.
CommitmentWe agree on the metric and baseline before work starts. If the pilot does not beat the baseline, the final invoice is waived.
Typical scope: 8 to 12 weeks
Build the standards, ownership, data access, and portfolio rhythm that move AI from scattered projects into normal operations.
How the work runs / 05
Follow the handoffs, exceptions, data, and decisions that process diagrams miss.
Score opportunities against value, effort, data readiness, and risk.
Define where people decide, where AI assists, and how the team catches failure.
Measure the result, document the system, and leave the team able to improve it.
Good fit / 06
You have roughly 10 to 500 people. Employees already experiment with ChatGPT, Claude, or copilots. Leadership sees the potential but lacks a prioritized use case, safe operating model, or path from demo to daily work.
Especially useful when:
Common questions / 07
The first workflow should reduce uncertainty, not create another program to manage.
Pilots usually die from a missing owner, baseline, or review step. This engagement ships all three. Measurement is part of the deliverable.
Useful workflows exist at every level of data maturity. The Opportunity Map scores readiness so we do not choose work your data cannot support.
No. The first workflows use tools your team already has. If integration is needed, I specify the work clearly enough for a capable developer to build.
Each engagement is a scoped fixed fee after a conversation about the workflow. The Pilot guarantee puts the risk of a poor measured result with me.
The workflow owner should expect a few hours a week. They participate so they can run and improve the system after I leave.
One useful conversation
Describe where you are today, the workflow you want to improve, and what a good outcome would look like.
I take on a small number of engagements. If capacity is full, you will get a date, not a waitlist.Start the conversation