Phase 03 / Transform
v.2026.AI

The DotCom→DotAI
Transformation.

The third phase of AI enablement: your challenges reveal what is worth building. We make it operational, with your people ready to own it. A hands-on delivery engagement where we design, build, integrate and deploy AI automations, agents and internal tools for your business — typically over 8–12 weeks, with your operators involved and ready to own the result.

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 · Scope
Weeks 1–2 · indicative

Validate the opportunity & design the solution

  • Review the prototypes and business cases surfaced by your challenges.
  • Audit the target workflows, integrations, data access and operational risks.
  • Agree success metrics, delivery scope, acceptance criteria and internal owners.
  • Design the solution and prioritise an implementation backlog with your operators.
Phase 02 · Build
Weeks 3–8 · indicative

Dedicated implementation

  • We build the agreed AI automations, agents and internal tools for your business.
  • Integrate with your approved stack and accounts, rather than creating a separate island.
  • Work with real users through short feedback and testing cycles.
  • Regular delivery readouts show what works, what is blocked and what comes next.
Phase 03 · Deploy
Weeks 8–10 · indicative

Test, harden & launch

  • Validate output quality, permissions, failure modes and human-review controls.
  • Deploy agreed solutions into your environment with monitoring and escalation paths.
  • Document data rules, governance responsibilities and relevant regulatory considerations.
  • Check acceptance criteria with the operators who will run the systems.
Phase 04 · Hand over
Weeks 10–12 · indicative

Make ownership operational

  • Train internal owners to operate, maintain and improve the delivered solutions.
  • Hand over workflow documentation, reusable prompts and operating playbooks.
  • Establish adoption and ROI reporting with a scheduled review cadence.
  • Plan the next delivery priorities or an ongoing Fractional CAIO / AI Concierge retainer.

Two delivery scopes

Focused build or connected workflows

02

Typically 8–12 weeks, with the timeline agreed by scope. Indicative investment: £10,000–£30,000+ · €10,000–€30,000+ · $10,000–$30,000+. Final quote depends on complexity, integrations and breadth.

One high-value opportunity

Focused implementation

Turn a proven challenge prototype or workflow opportunity into a working operational solution. A clearly bounded build, tailored to your systems and data.

  • →Agreed delivery and acceptance criteria
  • →Automation, agent or internal-tool build
  • →Integration and responsible-AI checks
  • →Documentation and operator handover
A team or business unit

Connected workflow transformation

Build a connected set of AI-enabled workflows across a team or function. A sequenced delivery engagement that changes how work moves, not just how one task is done.

  • →Prioritised delivery backlog across workflows
  • →Shared integrations and reusable components
  • →Adoption, ROI and operational reporting
  • →Named owners and an ongoing review cadence

From promising prototype to dependable operation.

Why us

03
  • →

    Dedicated implementation with operator enablement — the solution is built for you, and your people can run it.

  • →

    Delivery, not a course: agreed solutions are tested, integrated and deployed in your accounts.

  • →

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

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

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    Build priorities come from challenge evidence and workflow economics, not a generic AI roadmap.

  • →

    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
Live
Solutions in your operations
Owned
Systems & artefacts stay yours
Measured
Agreed adoption & ROI criteria
Supported
Internal owners ready to run
  • Each delivered solution has a named owner and a review cadence that survives the engagement.
  • 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 challenge, AI leadership retainer and implementation 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 dedicated delivery?

Start with a challenge and find the opportunities worth building.

Explore the challenges →

Bring your team into the next phase.

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