The hardest AI question isn't how.
A focused engagement that shows your leadership where AI actually creates value across the business, then converges on one prioritized, validated bet to start with. You walk out knowing the single highest-value place to put AI, and why, before you spend a dollar building it.
You don't lack AI. You lack focus.
You're under pressure to do something with AI. There's motion everywhere, a pilot here, a copilot there, and a real fear of spending big on the wrong thing. The pain isn't a lack of AI. It's a lack of focus, and the cost of getting it wrong. Mapping turns "we should use AI" into one defensible bet you can put your name behind.
The bottleneck was never access to AI. It's knowing where it belongs. Researchers call it the mapping problem, and the firms that solved it dramatically outperformed the ones left to guess. That mapping is the work this engagement does.
The AI Investment Brief.
The executive-grade artifact the engagement produces, and the thing a CXO, CFO, or board reads to commit capital. Plain language, direct, built to survive the room it's read in.
The top three workflows
Worth redesigning around AI, in priority order, with the rationale for the ranking.
Expected return on each
What the redesign is worth, grounded in evidence and sized to your reality.
Your data-maturity tier
What you can measure today, and the confidence that comes with it.
The AI capability map
Which AI capabilities sit where in the redesigned priority workflow.
Human and AI roles
The decision points where judgment stays human, named explicitly.
The 90-day activation plan
What gets done first, what comes next, and who's accountable.
The measurement framework
How you'll know the redesign worked, designed into the workflow rather than bolted on after.
A facilitated session, in four blocks.
Half a day for a single business unit, up to two days for a cross-functional scope. We work from the customer in, not the technology out.
Customer Journey Mapping
Start with the customer, member, or patient whose experience determines the outcome you care about. Map it end to end, stages, moments of truth, breakpoints.
Service Blueprint
Surface the workflows behind each stage, front-stage and back-stage, with the systems, data, and handoffs that power them. This is where the workflows AI could live inside become visible.
Workflow Prioritization
Rank the candidate workflows by their contribution to the outcome, using a method matched to the data you actually have, from a simple impact-and-effort read to driver mapping when the telemetry supports it.
AI Capability Integration
Redesign the top workflows with AI placed where it earns its keep, using 33A's AI Cards® as the capability vocabulary, every placement paired with the human role beside it.
Workflow Economics.
The point of view running through the engagement. In plain terms, AI pays back only when you redesign the workflow it lives in. Three premises shape every block.
Value lives in the workflow, not the technology
Bolt AI onto a task and you get that task done faster. Redesign the workflow around it and the return compounds.
The return comes from sequencing
Each redesign produces the measurement and the insight that sharpens the next. Deliberate beats one-off.
Measurement is designed in, not bolted on
Most setups measure usage. The real question is whether the workflow produces the outcome better than before, built in from the start.
This is the decision the rest depend on.
It starts with a ninety-minute session and leads wherever the chosen bet demands. Mapping is the hinge. Get it right and every dollar downstream is aimed, not guessed.
The Experience Session
Ninety minutes, hands-on, with your team or an open group. The lowest-risk way in.
AI Opportunity Mapping
Leadership converges on the one bet, captured in The AI Investment Brief. You're here.
What fits your situation
Deeper engagements, scoped to the work in front of you. The session is just the door.
Post-pilot operational leaders
COOs, CDOs, and VPs of Operations who invested in AI and haven't seen the leverage show up.
Strategic leaders in regulated industries
Financial services, healthcare, insurance, where generic AI advice is useless and workflow rigor is the premium.
Product leaders integrating AI
CPOs and VPs of Product weaving AI into the roadmap without breaking the experience people rely on.
Where this has worked.
Design moved upstream
Contributed to the build of McKesson's internal design capability and restructured how product decisions got made, so design moved into the business case instead of downstream polish. The return compounded across everything built after, the same move Mapping makes for clients today.
Start with the member, not the product
Led work on the member credit-card workflow, from shopping through onboarding to ongoing use, surfacing the stage-by-stage breakpoints and a prioritized redesign roadmap. A direct analog for any financial services prospect asking what this looks like on their own experience.