AI Strategy Consulting & Executive AI Coaching

Q: Is this just another AI strategy deck?

No. It’s a roadmap scored against your real operations , not recycled best-practice — and a living plan you own and run, not a PDF that ages out the day it’s delivered.

Why this matters now.

Most companies are spending on AI without a plan that fits how they actually make money. Three ways the spend leaks:

No real plan

AI is happening in pockets, with nothing tying it to the business.

Generic frameworks

Most “AI strategy” is a recycled deck — it doesn’t fit your operations.

Decision paralysis

Endless tools and opinions, no clear first move. You need a scored, sequenced path.

Where AI actually pays off — scored to your business.

Every candidate use case in your business gets scored on two axes: impact on how you make money, and effort to make it real. What survives becomes the sequence — what to do first, what to schedule, what to deliberately skip. You leave with the scored map, the sequence, and a leadership team coached to re-run the scoring as your business changes.

Score every AI opportunity by impact & effort — then sequence it into a roadmap you own.

How it works is no mystery — the full engagement, week by week, is laid out below. 2–4 weeks, not a standing engagement.

What you actually get — and keep:

Opportunity map

Impact × effort, scored

Every AI opportunity across your functions rated against your real operations — so the priorities are obvious, not argued.

Sequenced roadmap

Do-first vs. wait

A path, not a pile: the first move, the next, and the ones to deliberately skip — each step earning the next.

The business-model question

What AI changes about your value

Beyond efficiency: where AI shifts what you sell and how you charge — the return a slider can’t show.

A living roadmap

Yours to run

Scored against your data and market, with the coaching to keep it alive — not dependent on us.

You leave owning a living roadmap scored to your business — and the judgment to run it. Built on Claude, pragmatic across your stack; your data stays yours. How we build it →

À la carte, this is the roadmap. The full CEO AI Program adds executive fluency and the built system on top.

Inside the engagement — week by week.

AI strategy consulting earns its name only if you can see the work. Here is how two to four weeks actually run — and what you are holding when they are done.

01

Understand

We sit inside your operations, not above them: how you win work, where hours and margin go, what your best people carry in their heads. Interviews, workflow walk-throughs, your real numbers — not a maturity survey. Output: the candidate list, in your language.

02

Score

Every candidate scored on two axes — impact on how you make money, effort to make it real. Effort includes what vendors skip: integration reality, data availability, adoption risk. Output: the scored opportunity map.

03

Sequence

Scores become an order: do-first moves that pay back inside a quarter, foundations that unlock later phases, and a deliberate skip list — what not to build, and why. Output: the roadmap, in do-this-first order.

04

Coach & hand over

Working sessions with your leadership: running the roadmap, challenging vendor pitches, re-scoring as the business changes. Output: a team that can defend every line of the plan.

Where scoring goes wrong. Most AI roadmaps fail at the scoring step, and they fail in the same three ways:

Demos over payback. They score what demos well instead of what pays — impressive in a meeting, invisible in the P&L.
Vendor-led lists. A vendor’s roadmap scores the vendor’s strengths, not your operations.
Adoption left unpriced. Deloitte pegs roughly 63% of AI implementation challenges as human, not technical — so adoption risk sits on our scoresheet next to revenue impact, margin effect, integration effort, and data reality. A use case that shines in a demo but dies with your team never makes the do-first list.

What you’re holding when it’s done.

The scored map — every use case with impact, effort, owner, and payback on one page.
The sequenced roadmap — do-first order, with the reasoning attached to every line.
The business-model view — where AI will shift pricing, packaging, and margin in your market, answered on paper before a competitor answers it for you.
The operating rhythm — the coaching and re-scoring cadence, living in your own accounts. A plan you run, not a PDF that ages.

The coaching half is how the roadmap survives contact with reality. Through the engagement, you and your leadership team learn to judge AI the way you judge any other investment — what current models can and cannot do, what to build versus buy, which questions expose a weak pitch. By the final session it is not our document you inherited; it is your plan.

Go further — the CEO AI Program → Not sure about timing? Take the free readiness read →

Senior judgment — not a handoff to juniors.

The roadmap is founder-led and drawn from 25 years of transformation work — for companies like adidas, Sony, and Mercedes-Benz — and from running our own firm on AI. You get the judgment of people who’ve made these calls, not a template.

Founder-led by Sascha & Laura — backed by a network of vetted senior specialists.

Questions we get asked.

Is this just another AI strategy deck?

No. It’s a roadmap scored against your real operations, not recycled best-practice — and a living plan you own and run, not a PDF that ages out the day it’s delivered.

Do I need a technical background?

No. It’s built for leaders — the strategy and coaching are in business language, scored to how you make money.

What do we actually leave with?

A scored opportunity map, a sequenced roadmap, and the coaching to run it — yours to keep, with no lock-in.

How long, and what does it cost?

Typically 2–4 weeks as a standalone engagement — or part of the CEO AI Program. Pricing is scoped to your situation: you get a straight number after a short conversation, never an open-ended invoice.

Which platform do you use?

Claude-native — strongest where judgment matters — but pragmatic across your stack. You own everything we build. How we build it →

What does AI strategy consulting for a mid-market company include?

AI strategy consulting at bosio.digital produces four things: an opportunity map of your operations scored by impact and effort, a sequenced roadmap in do-this-first order, the business-model view of what AI changes about what you sell, and coaching for the leadership team that has to run it. Typically two to four weeks, founder-led, and the roadmap is yours to keep.

Our AI pilot failed — how do we figure out what went wrong before trying again?

Start with the human side, because that's where most pilots die: Deloitte's research puts roughly 63% of AI implementation challenges down to human factors, not technology. A failed pilot is usually a sequencing or adoption failure wearing a technology costume. We diagnose what actually happened — in business language, not engineering — and rebuild the order of operations before you spend again.

Do we need our data “ready” before we start?

No — waiting for perfect data is one of the most expensive myths in AI adoption. We start with your people and the workflows they run today, on tools you already own. Where data genuinely blocks a high-value use case, the roadmap says so explicitly and sequences the fix — you never buy a data project you don't need.

How is AI strategy different for a mid-market company than an enterprise?

Enterprise AI strategies assume enterprise budgets, data teams, and eighteen-month timelines. A mid-market AI strategy has to pay off in quarters — so we score opportunities against your real operations and sequence them by payback, not by ambition. Enterprise-grade thinking without the enterprise overhead, sized for a company where the CEO still knows everyone running the workflows.

Go deeper on AI strategy.

USE CASES

High-Impact, Low-Complexity: The 15 Most Valuable AI Use Cases for Mid-Market Companies

The business world finds itself at a curious inflection point. While conversations about AI's…

Sascha Bosio2025 · 43 min read→

AI ROI

The AI ROI Map: What Each Stage of AI Maturity Actually Returns

AI ROI doesn't exist as one number — it changes by maturity stage. Most companies measure Stage 3…

Sascha Bosio2026 · 17 min read→

BUYER'S GUIDE

Beyond the Big 4: A Mid-Market Leader's Guide to Choosing the Right AI Consulting Partner

Mid-market companies have four AI consulting models to choose from. This buyer's guide breaks down…

Sascha Bosio2026 · 20 min read→

DUE DILIGENCE

What to Ask an AI Consulting Firm Before You Sign Anything

Most mid-market AI consulting engagements fail before the work begins — in the selection process.…

Sascha Bosio2026 · 19 min read→

Your AI strategy — know exactly where it pays off.