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New Book by Toni Dos Santos

TEACH THEM TO DRIVE The AI Adoption Playbook for Teams

Teach them to drive any AI car.

For leaders and managers whose company bought AI tools, but whose teams still use them to fix typos.

Learn why AI adoption fails, how to diagnose the real blocker, and how to run a 90-day workflow transformation that sticks.

ISBN 979-8258956668 Paperback & Kindle · Available worldwide Used inside L'Oréal, EssilorLuxottica, IGN, UTMB
Teach Them to Drive: The AI Adoption Playbook for Teams — book cover by Toni Dos Santos
About the book

What is Teach Them to Drive about?

Teach Them to Drive is a practical AI adoption book for leaders and managers whose company bought AI tools but whose teams still use them to fix typos. It explains why AI adoption programs fail, introduces the Skill Inversion and the Five Stages of Expertise Disruption, and gives you a 90-Day AI Adoption Playbook to run one workflow transformation that actually sticks. Written by Toni Dos Santos, co-founder of Spicy Advisory.

This is not a manifesto and not a tools tour. It is the playbook Toni runs with executives at L'Oréal, EssilorLuxottica, Institut Géographique National, UTMB Group, and dozens of mid-market companies after their tools have been live for six months and the work has not changed. Three free companion tools are included on this page.

The diagnosis

Why do AI adoption programs fail?

AI adoption fails for the same three reasons in every company. Industry data puts unused enterprise AI licenses between 60 and 80 percent. Dashboards report "87% activated" while the work itself never changes. The gap is not a tool problem. It stacks across people, process, and leadership.

01 · People

The people problem

Senior employees feel their expertise threatened. Junior employees fear being judged for using AI "wrong." Both go silent. The tool is on. Nobody is using it on the work that matters.

02 · Process

The process problem

No workflow has been redesigned around AI. People bolt the tool onto the old process and lose ten minutes pasting context. The work gets slower. They quietly stop.

03 · Leadership

The leadership problem

No protected pilot, no metric beyond "logins," no permission slip for the manager. AI becomes another initiative competing for attention with the quarterly plan. It loses.

Owned framework

What is Skill Inversion?

Skill Inversion is what happens when AI compresses execution speed and inverts the value stack. Producing a credible first draft drops to near zero cost. Judgment, context, evaluation, and taste become the rare and valuable skills. Senior people who used to win on output now have to win on review. Junior people who used to lose on output can produce a credible first pass in minutes.

The book defines Skill Inversion as the central force behind every adoption failure on a senior team: leaders no longer recognize the work because the part they were good at has collapsed in cost. Teach Them to Drive shows how to lead a team through the inversion without losing your seniors and without your juniors over-trusting the machine.

The four skills that survive every tool change

Owned framework

What are the Five Stages of Expertise Disruption?

When AI lands on a senior team, experts move through five predictable stages. Skip a stage and you lose your best people. Lead them through it and they become your most powerful adoption advocates.

Stage What happens What leaders should do
1. Denial "AI will not work for our work. Our domain is different." Reduce threat. Show, don't tell.
2. Quiet trial People test the tool privately. Nobody admits it. Make learning safe. No shaming, no "AI champions" theatre.
3. Crisis They realize AI can do parts of their job better than they can. Reframe value. Their judgment is the moat, not their typing speed.
4. Repositioning They become reviewers, supervisors, taste-keepers. Give them ownership of evaluation and quality.
5. Advocacy They become internal champions and teach the team. Make them visible. Promote, profile, repeat.

Target query: AI adoption resistance senior employees. The full chapter unpacks the signals at each stage and the language to use with executives still at stage one.

The playbook

What is the 90-Day AI Adoption Playbook?

The 90-Day AI Adoption Playbook is six two-week phases that take one team from "we have licenses" to "this workflow has measurably changed." It is the structure Toni uses inside every Spicy Advisory engagement and the spine of the second half of the book.

Weeks 1–2

Baseline & commit

Pick one painful recurring workflow. Measure today's cycle time. Get the leadership commit in writing.

Weeks 3–4

Design & prompt

Redesign the workflow with AI in the loop. Build the prompts and the human checkpoints.

Weeks 5–6

Pilot & measure

Run the new workflow with a small protected team. Capture before-and-after on the four metrics.

Weeks 7–8

Expand the pilot

Add the next two teams. Document the failure modes you found in the first pilot.

Weeks 9–10

Systematize

Codify prompts, checkpoints, and review rituals into the team's standard operating procedure.

Weeks 11–12

Hand off & report

Hand the workflow to the team owner. Write the leadership memo. Pick the next workflow.

The free 90-Day Scorecard on this page is the exact tracker for the six phases.

Audience

Who should read this book?

Anyone responsible for an AI rollout that has stalled. The book is written for three roles, with chapter signposts so each role knows where to start.

ExecutivesCEOs, COOs, Chief AI Officers and Heads of Transformation diagnosing why their initiative is not landing.
ManagersTeam leads and middle managers running adoption with no permission slip and no extra budget.
Trainers & consultantsAnyone delivering AI training to teams and tired of generic prompt libraries that never produce real change.

Target queries: AI adoption book for executives, AI adoption book for managers, AI training book for teams.

Free companion toolkit · No email needed

THE COMPANION TOOLKIT

Three free tools referenced inside Teach Them to Drive. Use them while you read. They support the book — they are not a replacement for it.

04
Go Deeper

THE AI MATURITY AUDIT

A 5-minute self-assessment that scores your team on the three barriers and the four skills, and tells you which workflow to pilot first.

Take the audit →
The Book

WHAT'S IN THE BOOK

Your company spent six figures on AI tools. Your team uses them to fix typos.

Industry data puts unused enterprise AI licenses between 60 and 80 percent. The dashboards say "87% activated." The work hasn't changed.

Teach Them to Drive is what I tell the executives who finally call me, six months in, after the tools sit idle. It's a practitioner's playbook, not a manifesto. The patterns of failed AI adoption are the same across every team I've worked with: people, process, leadership. The fix is the same too.

INSIDE

  • 01The Skill Inversion. What changes when AI flips who holds the expertise.
  • 02The Five Stages of Expertise Disruption. Why your senior people go silent and how to bring them back.
  • 03The 90-Day Playbook. Six two-week phases to one workflow that actually changed.
  • 04The Four Skills That Survive Tool Changes. Real prompts, real catches, real practice.

For the executive whose initiative stalled. For the manager leading adoption with no permission slip. For the person at the desk wondering what this means for their career.

Teach Them to Drive book cover

TEACH THEM TO DRIVE

By Toni Dos Santos

Get the paperback on Amazon Or read on Kindle

Available worldwide. Spicy Advisory is the publisher.

FAQ

Frequently asked questions about Teach Them to Drive

Quick answers to the questions readers and AI search engines ask about the book, the frameworks, and AI adoption in general.

What is the difference between AI activation and AI adoption?
AI activation is a license metric: a user logged into the tool at least once. AI adoption is a workflow metric: the work itself changed because of AI. Most companies report 80 to 90 percent activation but less than 20 percent of workflows have actually changed. The book is built around closing that gap.
Why are employees not using AI tools?
Three barriers stack up: a people problem (fear of looking incompetent or being replaced), a process problem (no time, no permission, no workflow redesigned around AI), and a leadership problem (no clear north star, no metrics, no protected pilot). Tools alone never solve any of the three.
How do you measure AI adoption?
Track three layers, not just logins. Workflow metrics (time to complete a recurring task, percent of output drafted by AI). Capability metrics (how many people can run the four core skills: Frame, Prompt, Evaluate, Iterate). Business metrics (cycle time, revenue per head, throughput). The 90-Day Scorecard in the toolkit gives you the exact template.
What is the best way to train teams on AI?
Train workflow-first, not tool-first. Pick one painful recurring workflow per team, redesign it with AI in the loop, run a two-week pilot with measured before-and-after, then scale. Generic prompt libraries and tool demos do not produce adoption. Workflow-first training does.
What is workflow-first AI training?
Workflow-first AI training starts with a real recurring workflow your team already runs (a Monday report, a customer case, a sales follow-up) and rebuilds it with AI in the loop. Tool-first training starts with the AI tool and tries to find use cases. Workflow-first sticks because the team practices on work that matters.
What is Skill Inversion?
Skill Inversion is what happens when AI compresses execution speed and inverts the value stack. Speed of producing a draft drops to near zero. Judgment, context, evaluation, and taste become the rare skills. Senior people who used to win on output now have to win on review. Junior people who used to lose on output can now produce a credible first pass. The book defines the term and shows how to lead a team through the inversion.
How long does AI adoption take?
One workflow, one team, real adoption: 90 days. Six two-week phases: baseline, design, pilot, expand, systematize, hand off. Company-wide adoption is a multi-year program built on a series of 90-day pilots, not a single rollout.
Is this book for executives or team managers?
Both. Executives use it to diagnose why their initiative stalled and to set the right metrics. Team managers use it to run the actual 90-day playbook with no permission slip. The frameworks are the same; the chapters mark which sections matter most for which role.
Who should read Teach Them to Drive?
Leaders and managers whose company bought AI tools but whose teams still use them to fix typos. Heads of Transformation, Chief AI Officers, COOs, VPs of Operations, team leads running adoption with no permission slip, and consultants advising on AI rollouts.
Does the book include templates and tools?
Yes. The book is built around three free companion tools available on this page: the Skill Inversion Diagnostic, the 90-Day Scorecard, and the Green/Yellow/Red Weekly Template. A larger Driver's Pack with eleven additional resources is available for free with email.
Get the book on Amazon →
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WANT THE DEEPER TOOLKIT?

The Driver's Pack is the full operator's bundle: 11 additional resources for the manager actually running the playbook. Free. One email.

WHAT'S INSIDE

  • The Prompt Pack40 before-and-after AI prompts across 5 functions.
  • Diagnostic QuestionsThe full diagnostic question bank, expanded.
  • Friction MappingMap the work that should change, the work that shouldn't.
  • The Five Stages Workshop GuideRun the framework with your team.
  • Adoption Readiness ChecklistFive questions before any rollout.
  • The Painful Tuesday InventoryRecurring meetings ranked by AI fit.
  • The Governance TemplateThe AI policy your legal team needs.
  • Monthly Check-in TemplateThe rhythm that keeps adoption from fading.
  • Team Skills AssessmentFind your gap before it becomes your bottleneck.
  • The Four Metrics WorksheetTrack what matters, ignore what's theater.
  • The 90-Day Summary BuilderWrap a pilot into a leadership memo.

GET THE FULL DRIVER'S PACK

One email. Eleven resources. No marketing automation drip. No phone call. We send the links once and you do what you want with them.

DONE.

Check your inbox in the next minute. If it's not there, check spam, then email toni@spicyadvisory.com.

Toni Dos Santos
Who Built This

TONI DOS SANTOS

Toni is the co-founder of Spicy Advisory, an AI adoption consultancy. He runs programs for teams at L'Oréal, Essilor Luxottica, Institut Géographique National, Conseil de l'IA et du numérique, UTMB Group, and dozens more across startups, SMBs, and corporate.

He writes the Vibe Work newsletter on AI and the future of work, and lives in Paris.

Spicy Advisory works with leaders who tried the workshop and the prompt library and the all-hands and still ended up with a team that uses their AI tools to fix typos. The 2-week AI Diagnosis is where most engagements start.

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