COMPOUNDING | T
Product 03 / Transform
v.2026.AI

The DotCom→DotAI
Transformation Programme.

Eight to twelve weeks of full organisational transformation — workflows and culture together. Tailored workshops, an innovation programme with challenges baked in, real AI automations and solutions built and deployed, and train-the-trainer at the end. Everything else we do eventually feeds here.

Editorial illustration of teams collaborating with vintage tech
FILE: transformation.txt // 8–12 weeks
The thesis

AI adoption is a culture problem, not a technology problem. Education alone fails. Consulting alone fails. We blend both.

Four phases, one arc

How it runs

01
Phase 01 · Discover
Weeks 1 to 2

Organisation-wide audit & programme design

  • AI penetration and fluency audit across every function in scope.
  • Role and workflow audits with department leads; shadow-AI mapping.
  • ROI-based use-case mapping and a scored delivery backlog.
  • Bespoke curriculum, rubric and success metrics agreed before week three.
Phase 02 · Build
Weeks 3 to 8

Workshops, challenges and real builds

  • Tailored workshops per function — designed on your artefacts, run live.
  • An innovation programme with AI challenges and vibe-coding rounds per team.
  • Automations, agents and internal tools built with the teams who will use them.
  • Weekly leadership readout: what shipped, what it saved, what's blocked.
Phase 03 · Deploy
Weeks 8 to 10

Deployment & responsible-AI guardrails

  • Builds hardened and deployed into production in your accounts.
  • Approved-tool list, data-handling rules and human-in-the-loop checks.
  • Governance operating model, policy docs and an EU AI Act exposure snapshot.
  • A named internal AI owner appointed for each function.
Phase 04 · Train the trainer
Weeks 10 to 12

Handover so it compounds without us

  • Internal champions trained and certified to run the next wave themselves.
  • Facilitation kits: session decks, challenge formats, scoring rubrics.
  • Adoption and ROI metrics wired into an existing reporting cadence.
  • 30 days of light-touch advisory as the last artefacts land.

Two formats

Private or cohort

02
Single company

Private

Confidential. Bespoke to one company's stack, data and workflows. Best when the problem is proprietary or regulated.

  • →Bespoke curriculum on your artefacts
  • →Internal cohort of 15–60 people
  • →Full audit + reporting inside your walls
  • →Confidentiality by default
10 companies

Cohort

10 non-competing companies run the programme in parallel. Same fundamentals, own problems. Cross-pollinated learning at a fraction of the private cost.

  • →Peer challenges across companies
  • →Shared benchmarks and pattern library
  • →One senior sponsor per company
  • →Anonymised comparative report

Everyone sells AI workshops. Here's the difference.

Why us

03
  • →

    Education and consulting in one programme — most firms sell one and leave the other missing.

  • →

    Builds, not lectures: every module ends in something deployed.

  • →

    Vendor-agnostic. We don't resell licences and we aren't paid by your tooling.

  • →

    Run by operators who scaled AI inside a company doing $500M+ ARR, not career slide-makers.

  • →

    Engagement designed through challenges and friendly competition, not left to willpower.

  • →

    We optimise for leaving: owners, champions and artefacts stay behind when we go.

What we leave behind

Deliverables

04
  • 01

    A library of reusable prompts, workflow designs and artefacts.

  • 02

    A named internal AI owner for each function.

  • 03

    Review cadence, governance model and policy docs.

  • 04

    Adoption metrics baked in as a deliverable, not a nice-to-have.

  • 05

    A trained cohort of internal champions who run the next wave.

  • 06

    A live use-case backlog scored by ROI.

Outcomes

What changes

05
8–12
Weeks end to end
10+
Builds in production
1
Owner per function
100%
Artefacts owned by you
  • Every function has a named AI owner and a review cadence that survives the programme.
  • Internal champions run their own sessions and challenges after we leave.
  • Shadow AI drops because the sanctioned path is finally faster than the workaround.
  • Adoption and ROI are reported like any other operating metric, monthly.

The team who runs it

06
The bench

Led by an operator. Staffed by practitioners who've shipped AI in production.

Every engagement is led by Joao Alves, a second-time founder who has worked in AI since 2020 — most recently inside a leading fintech company at a $7B+ valuation doing over $500M ARR, helping regulated firms put AI into production.

Joao is supported by a small bench of senior practitioners drawn from financial services, VC-backed AI startups, and risk and governance teams. Engagements are staffed for fit — every workshop, team challenge and governance program is led by people who have done the work, not delegated it.

  • AI operators since 2020
  • Fintech, regulated industries
  • Shipped, not just advised
  • Workshops on 3 continents
  • Bench scales with the brief

Not ready for the full programme?

Start with the Opportunity Diagnostic and let the map decide the scope.

See the diagnostic →

Ready to compound?

Most engagements start with a 30-minute scoping conversation. No deck, no pitch — just your context.

Start a conversationSee what we deliver