AI Strategy & Advisory

The advisory playbook

What a board actually buys from a strategy partner — the decisions we help you make, and what you walk away holding. Advisory, not build.

0

pillars

0

offerings

0+

frameworks

the shape   every offering answers a board-level decision and ends in a deliverable you own — not code.

/ the six pillars

What we advise on

Pick a pillar — the decisions it answers and what you walk away with scroll alongside.

01

Vision & ambition

where AI fits the strategy

Set what AI is for at this company — tied to corporate strategy, not a lab off to the side — so every later bet has a north-star to point at.

AI vision & north-star

when — AI is scattered across teams with no shared 'why'.

the decision

Where does AI fit our strategy — and how ambitious should we be?

what you walk away with

An AI vision tied to corporate strategy, with ambition tiers and guiding principles.

north-star framingambition tiersprinciples charter

Disruption & competitive positioning

when — You're unsure whether AI is a threat or an advantage in your market.

the decision

Where does AI defend or grow our moat — before a competitor's does?

what you walk away with

A market and competitor AI read with a threat / opportunity map.

capability benchmarkingdisruption analysisthreat / opportunity map

AI business-model design

when — You want AI to create new revenue, not just cut cost.

the decision

What new products, pricing or models does AI unlock?

what you walk away with

AI-enabled business-model options, each with a value-at-stake.

business-model canvasvalue-at-stakenew-revenue design

Strategic scenario planning

when — The pace of AI makes a single fixed plan feel brittle.

the decision

How do we bet across an uncertain AI future?

what you walk away with

A set of AI future scenarios and the no-regret moves under all of them.

scenario planningwargamingno-regret moves

AI principles & charter

when — Leadership can't articulate what the company will and won't do with AI.

the decision

What are our stated AI commitments — the red lines and the intent?

what you walk away with

A board-endorsed AI charter.

principles chartervalues alignment

Board AI thesis & narrative

when — The board needs a defensible story for investors and regulators.

the decision

What's our AI story to the market and the board?

what you walk away with

A board & investor AI narrative.

equity storyboard deckthesis framing

/ the toolbox

Every method, mapped to a decision

Derived straight from the offerings — 132 named frameworks, each tagged with the decision it powers. The board browses decisions; your team browses the tools behind them.

132

methods

filter

ADKAR / Kotter

Change management & adoption

adoption metrics

Change management & adoption

agent-readiness

GenAI & agentic opportunity

agile / MLOps ways of working

AI product operating model

AI risk register

AI risk & security

AI-for-sustainability mapping

Sustainable / green-AI

AI-literacy program

Talent & capability plan

algorithmic-impact assessment

Responsible-AI & ethics

alliance model

Partnership & alliance strategy

ambition tiers

AI vision & north-star

assurance questionnaire

Third-party & vendor AI risk

benchmark ranges

Value-at-stake sizing

benefits realisation

Benefits realisation & value tracking

board AI literacy

Board & executive enablement

board deck

Board AI thesis & narrative

build-buy-partner matrix

Build-vs-buy-vs-partner

build-vs-adopt

Technology & platform strategy

business-model canvas

AI business-model design

capability benchmarking

Disruption & competitive positioning

capability heatmap

AI maturity diagnostic

capability-gap assessment

Skills & capability audit

centralised / federated / hub-&-spoke

Operating model & CoE

champions network

Culture & AI literacy

chargeback / showback

Funding model & FinOps

cloud / vendor strategy

Technology & platform strategy

co-innovation

Partnership & alliance strategy

compute-footprint accounting

Sustainable / green-AI

contractual controls

Third-party & vendor AI risk

control mapping

Assurance & audit readiness

data-asset valuation

M&A & AI due-diligence

data-readiness index

Data strategy & readiness

data-residency map

Data & AI sovereignty

delivery cadence

Program & PMO setup

dependency map

Phased roadmap

disruption analysis

Disruption & competitive positioning

ecosystem map

Vendor & ecosystem strategy

equity story

Board AI thesis & narrative

ethics review board

Responsible-AI & ethics

EU AI Act tiering

Governance & policy

evidence library

Assurance & audit readiness

exec steering committee

Board & executive enablement

executive baseline

AI-readiness scorecard

expected-value / decision-tree

Business case & ROI

fairness / bias review

Responsible-AI & ethics

FinOps for AI

Funding model & FinOps

GDPR / DPIA

Governance & policy

GenAI use-case taxonomy

GenAI & agentic opportunity

green-AI / FinOps

Sustainable / green-AI

hire / upskill / partner

Talent & capability plan

horizon mix

Portfolio & lighthouse

horizon scanning

Regulatory horizon scanning

human-in-the-loop design

Process & workflow readiness

human-oversight design

Responsible-AI & ethics

hyperscaler strategy

Partnership & alliance strategy

industry benchmarking

Peer benchmarking

ISO 42001 readiness

Assurance & audit readiness

ISO/IEC 23894

Governance & policy

ISO/IEC 42001

Governance & policy

ISO/IEC 42005

Governance & policy

jurisdictional analysis

Data & AI sovereignty

leading / lagging KPIs

KPI / OKR framework

lean-portfolio management

Portfolio & lighthouse

lighthouse selection

Portfolio & lighthouse

literacy curriculum

Culture & AI literacy

lock-in / IP analysis

Build-vs-buy-vs-partner

model cards

Model risk management

model inventory / validation

Model risk management

model-risk / IP review

M&A & AI due-diligence

model-supply-chain risk

AI risk & security

Monte-Carlo business case

Business case & ROI

multi-dimensional readiness scoring

AI maturity diagnostic

MVP sequencing

Phased roadmap

new-revenue design

AI business-model design

NIST AI RMF

Governance & policy

no-regret moves

Strategic scenario planning

north-star framing

AI vision & north-star

NPV / IRR / payback

Business case & ROI

obligations register

Regulatory horizon scanning

OECD AI Principles

Responsible-AI & ethics

OKR design

KPI / OKR framework

opportunity workshops

Opportunity discovery

ownership / governance model

Data strategy & readiness

partnership model

Vendor & ecosystem strategy

platform leverage

Scaling & industrialisation

PMO design

Program & PMO setup

portfolio balancing

Portfolio & lighthouse

principles charter

AI vision & north-star · AI principles & charter

process mining

Process & workflow readiness

product operating model

AI product operating model

program governance

Program & PMO setup

RACI / RAPID

Decision rights & accountability

RAI principles

Responsible-AI & ethics

readiness scorecard

AI-readiness scorecard

real-options valuation

Business case & ROI

red-team policy

AI risk & security

reference architecture

Technology & platform strategy

reference model

Peer benchmarking

reference-implementation reuse

Scaling & industrialisation

RICE

Use-case scoring

risk-adjusted value

GenAI & agentic opportunity

ROI tracking

Benefits realisation & value tracking

role design

Talent & capability plan

scale playbook

Scaling & industrialisation

scenario planning

Strategic scenario planning

sensitivity analysis

Business case & ROI

skills taxonomy

Skills & capability audit

sovereign-cloud strategy

Data & AI sovereignty

SR 11-7

Model risk management

stage-gate funding

Funding model & FinOps

stakeholder map

Change management & adoption

strategy workshops

Board & executive enablement

TAM / SAM

Value-at-stake sizing

TCO

Build-vs-buy-vs-partner

tech due-diligence

M&A & AI due-diligence

thesis framing

Board AI thesis & narrative

threat / opportunity map

Disruption & competitive positioning

Three Horizons

Phased roadmap

three-lines-of-defence

Decision rights & accountability

TOM design

Operating model & CoE

unit economics

Funding model & FinOps

use-case canvas

Opportunity discovery

value × feasibility

Use-case scoring

value KPIs

Benefits realisation & value tracking

value tree

KPI / OKR framework

value-at-stake

AI business-model design · Value-at-stake sizing

value-chain mapping

Opportunity discovery

values alignment

AI principles & charter

vendor risk tiering

Third-party & vendor AI risk

vendor selection

Vendor & ecosystem strategy

wargaming

Strategic scenario planning

workflow redesign

Process & workflow readiness

WSJF

Use-case scoring

/ the point

Strategy decides. Then we build.

~5.5% of firms are AI high performers despite 78% adoption (McKinsey) — the gap is a plan, not a model. We set the direction and the guardrails, then hand off to delivery.

then delivered by Data Science & ML · Generative AI · Agentic AI · and the rest