Methodology · Strategy Engagements

The Bouddi Strategy Method.

Five phases. Designed to deliver decisions, not decks. Every AI Strategy, Roadmap and Procurement engagement runs on the same chassis - co-delivered with named business sponsors and technology leads, anchored to the D1–D6 maturity domains, and traceable from board question to vendor contract.

5
Phases - Frame, Discover, Strategy, Procure, Mobilise
9–17
Weeks for a typical end-to-end engagement, depending on scope
2-side
Co-delivered with business owners and technology delivery teams
D1–D6
Anchored to the same maturity domains as the Governance Method

Why this method exists

AI investment decisions get made before anyone has done the work to defend them.

A vendor demo lands well. The board asks for a strategy. A technology team is told to "do AI." The result is a portfolio of pilots that don't ladder to a thesis, contracts that don't survive a risk review, and a roadmap that no-one can sequence. The Bouddi Strategy Method closes that gap before the spend lands. The five phases are designed so each phase produces a decision the next phase depends on - and so the trail of decisions is defensible to a board, an investment committee, or an auditor twelve months later.

The five phases

Five phases. Each one ends in a decision, not a workshop.

Phase 01
Frame & Align
1–2 weeks
Stakeholder map, success criteria, current AI footprint, scope agreement, decision register set up.
Phase 02
Discover & Diagnose
2–4 weeks
Process discovery, value-stream mapping, use-case qualification, data and capability baseline, build-vs-buy disposition.
Phase 03
Strategy & Roadmap
2–4 weeks
AI ambition, value framework, target operating model, sequenced 12–24 month roadmap, investment case.
Phase 04
Procure
3–5 weeks
Requirements, RFP authoring, vendor evaluation, TCO model, AI contract clauses, due-diligence pack.
Phase 05
Mobilise
1–2 weeks
Programme structure, decision rights, executive briefing pack, hand-off to delivery and to governance.
Phase 01 · 1–2 weeks

Frame & Align.

Most AI strategy engagements fail at the first meeting because no-one agreed what the engagement is for. Phase 01 fixes that. We name the business sponsor, the technology lead, the decision rights, the exit criteria, and the things this engagement explicitly will not do. The output is a one-page scope agreement that everyone can hold up later when scope creeps - and the start of a decision register that records every choice the engagement makes, with its rationale.

Phase 01 · Frame & Align

Decisions get made about why we're here.

1–2 weeks · co-delivered

A short, intense phase. Stakeholder interviews, scope agreement drafted and signed off, success criteria committed in writing, the current AI footprint scanned (often using the Bouddi Framing Process AI Footprint template), and a decision register opened that will track every choice from here to handover.

Deliverables
  • Scope agreement (one page, signed)
  • Success criteria and exit conditions
  • Stakeholder map with named roles
  • Current AI footprint (sketch register)
  • Decision register (live document)
Audiences
  • Executive sponsor (named)
  • Technology lead (named)
  • Risk and compliance partner
  • Programme management office
Phase 02 · 2–4 weeks

Discover & Diagnose.

The discovery phase. We map the work before we map the AI - value streams, decision points, handover seams, where the friction actually lives. Each candidate AI use case is qualified against business value, data readiness, decision suitability, and build-vs-buy disposition. This is where the Bouddi Investment Position Matrix gets applied - every candidate bet placed on Strategic Centrality × Defensibility, with the Build / Buy best / Partner / Wait verb attached.

Phase 02 · Discover & Diagnose

The work tells you where AI fits, not the other way round.

2–4 weeks · co-delivered

Process discovery using value-stream mapping with the people who actually do the work. AI use cases qualified against the Investment Position Matrix. Data and capability baseline assessed. Build-vs-buy disposition for each candidate, justified against the matrix placement and the organisation's data position.

Deliverables
  • Value-stream maps for in-scope processes
  • Qualified AI use-case shortlist
  • Investment Position Matrix placement (calibrated)
  • Data and capability baseline
  • Build-vs-buy disposition per candidate
Audiences
  • Process owners (each value stream)
  • Data and platform leads
  • Architecture function
  • Finance partner
Phase 03 · 2–4 weeks

Strategy & Roadmap.

The investment thesis is written. The target operating model is drawn. The 12–24 month roadmap is sequenced - not as a wishlist but as a costed plan with dependencies, milestones, and a clear narrative for the board. Every recommendation is traceable back to a Phase 02 finding, and every phasing decision is in the decision register with its rationale. By the end, the executive sponsor has a paper they can defend to the audit committee.

Phase 03 · Strategy & Roadmap

The thesis, the operating model, the sequence - defended.

2–4 weeks · co-delivered

AI ambition statement and value framework. Target operating model showing how AI work coordinates across business, technology, risk and procurement. Sequenced 12–24 month roadmap with phasing rationale and dependency map. Investment case with TCO modelling and benefit ranges. Board-ready paper.

Deliverables
  • AI ambition and value framework
  • Target operating model
  • 12–24 month sequenced roadmap
  • Investment case with TCO and benefits
  • Board paper, audit-grade
Audiences
  • Executive committee
  • Investment committee
  • Audit committee (briefing)
  • Board (paper)
Phase 04 · 3–5 weeks

Procure.

Where most AI strategies die. Vendor selection done badly produces contracts that don't survive a risk review and platforms that get stranded inside two years. Phase 04 runs procurement properly - requirements traceable to Phase 03, RFP authoring with AI-specific assessment criteria, evaluation against a calibrated TCO model, and contract clauses that actually protect the organisation when the model misbehaves.

Phase 04 · Procure

Vendors selected on evidence, not slide decks.

3–5 weeks · co-delivered

Functional and non-functional requirements documented from Phase 03. RFP and RFI authoring with AI-specific evaluation criteria (data residency, model lineage, monitoring, incident response). Vendor longlist and shortlist with scoring rationale. TCO modelling. AI contract clause library applied. Due-diligence pack covering MSP assessment, financial, security and AI-specific risk.

Deliverables
  • Requirements (functional & non-functional)
  • RFP / RFI authored with AI criteria
  • Vendor evaluation matrix
  • TCO and benefits model
  • AI contract clause library applied
  • Due-diligence pack incl. MSP assessment
Audiences
  • Procurement function
  • Legal counsel
  • Risk and compliance
  • Technology architecture
  • Vendors (named participants)
Phase 05 · 1–2 weeks

Mobilise.

The handover phase. Programme structure stood up, decision rights documented, executive briefing delivered, and the engagement closed cleanly. The Bouddi Strategy Method's exit criterion is that the organisation can run the programme without us. If governance scope comes out of the work - and it almost always does - Phase 05 is where the formal hand-off to the Bouddi Governance Method happens.

Phase 05 · Mobilise

The programme stands on its own.

1–2 weeks · co-delivered

Programme structure with named owners, decision rights matrix, escalation paths. Executive briefing pack delivered to the sponsor and to the board if requested. Hand-off to delivery partners; hand-off to the Governance Method where governance work is in scope. Decision register closed and archived as audit evidence.

Deliverables
  • Programme structure and governance
  • Decision rights matrix
  • Executive briefing pack
  • Hand-off documentation
  • Decision register (closed, archived)
Audiences
  • Executive sponsor
  • Programme delivery team
  • Bouddi Governance Method team (if engaged)
  • Board (briefing)

The other half of the discipline

Strategy decides what to invest in. Governance makes the investments defensible.

The Bouddi Strategy Method delivers a defensible AI position - what to build, what to buy, what to partner on, what to wait on. The Bouddi Governance Method runs underneath when those investments need to be governed: AIMS architecture, controls, model risk standards, audit-grade evidence. Together, they give a single evidence discipline across both practices, anchored to the same D1–D6 maturity domains.