AI strategy & roadmap
AI strategy that yields return on investment
We help leadership teams build a responsible, measurable AI strategy from start to finish: a clear ambition, the AI projects worth backing, business cases your finance team has checked, and a roadmap the board funds one stage at a time.
What you leave with
1A board-ready AI strategy on ten pages
2A shortlist of AI projects with their expected value, and a list of ideas to stop
3Business cases built on today’s figures, checked by your finance team
4An 18-month roadmap with owners, budgets and board decision points
5Clear roles, decision rights and AI governance to run it all
How a strategy engagement runs
Five steps to a funded plan
Each step narrows the question the next one has to answer, and each ends in something written down and agreed.
Weeks 1 to 3 Diagnose Interviews with your leaders, an assessment of AI readiness, and an inventory of AI already in use. Output: a scored picture of where you stand
Week 3 Envision The executive team agrees what AI must change about the business. Output: a one-page AI ambition
Weeks 4 to 7 Prioritize Every AI opportunity scored on value and feasibility; the best are worked out in detail with finance. Output: a shortlist with business cases
Weeks 8 to 10 Plan The order of work for AI projects, data, roles, decision rights and governance. Output: an 18-month roadmap
Weeks 11 to 12 Commit The board reviews the investment case and decides whether to fund the first phase. Output: a funding decision
The Praexo Framework
From vision to scale
- Govern &EducateAcross every stage: oversight, risk and the skills your people need
- Stage 1Vision &
PlanningWhat AI must achieve- AmbitionOne sentence every executive agrees on: what AI must do for the business.
- Value mapWhere AI creates and shifts value across your value chain and industry.
- Readiness baselineWhere you stand today, from data to governance, and the gaps to close.
- Portfolio and value casesThe AI projects worth backing, with value cases your finance team has checked.
- Stage 2Prepare &
RoadmapFoundations and plan- Data foundationsClear owners for key data, and quality checks before it is used.
- Governance and risk appetiteLimits for AI use, a register of systems and a clear route for approval.
- Operating modelWho decides, who builds, and how AI work gets funded.
- Roadmap and fundingEighteen months of milestones and owners, funded one stage at a time.
- Stage 3Execute &
MeasureFirst results, measured- First use casesAI solutions in daily use, measured against today’s figures.
- Change and adoptionA plan to get people using the new tools, with named owners.
- Benefits trackingResults reported against the value case, good news or not.
- Stage 4Optimize &
ScaleAI in daily work- Scaling architectureA platform that lets the next use case go live faster and safer.
- Portfolio steeringA fixed rhythm to continue, stop or scale every AI project.
- Capability and handoverSkills, roles and an internal team ready to run AI without us.
Our services across the framework
- Program: months, across stages
- Engagement: weeks
- Session or course: one to three days
Every building block ends in a result your leadership team can act on.
Find your starting point → Value & ROI cases
Pick the right bets
Then prove them in numbers your finance team will sign off.
Value × ViabilityEvery opportunity scored on business value and on data, technical and organisational feasibility.
Business value → Viability →
Illustrative. Dot size shows estimated annual value. Strategic bets
High value, harder to do: prepare first
High value, harder to do: prepare first
Quick wins
High value, easier to do: fund first
High value, easier to do: fund first
Park
Lower value, harder to do: revisit later
Lower value, harder to do: revisit later
Buy, don’t build
Lower value, easier to do: use standard tools
Lower value, easier to do: use standard tools
Anatomy of an ROI caseEvery business case shows four types of benefit, every cost, and today’s figures as agreed with finance before work starts.
Today’s figures firstCurrent cost, cycle time or error rate, signed off by finance before work starts.
Credit agreed upfrontHow much of an improvement counts as the result of AI is agreed before results come in.
Every cost countedBuilding, running, AI usage fees and training people, all in.
Tracked after launchBenefits reported for a full year, good news or not.
The 18-month roadmap
Funded in stages
Three tracks, because foundations, AI projects and governance move at different speeds. The board releases money one stage at a time, at agreed decision points.
Q1Q2Q3Q4Q5Q6
Foundations
Data owners & quality checks Central AI platform and team skills
AI projects
First working solution Roll out across the business Next set of AI projects
Governance
AI register & policies Oversight running, reported to the board every quarter
Board decisions
123
Board decision 1:The executive team agrees the AI ambitionBoard decision 2:The board funds the first phaseBoard decision 3:The board scales what beat today’s figures
AI projects in orderWhat depends on what, made explicit.
Skills and resources planWhat to hire, buy, build or leave alone.
Budget in stagesEach stage approved separately, never one blank check.
Stop criteriaWhen to stop a project, agreed before it starts.
Engagements
Four ways to work with us
1 day Executive AI Strategy Session For an executive team that needs a shared ambition before it spends. Prepared with four to six interviews. Outcome: an agreed AI ambition, a map of opportunities and a decision memo
4 to 6 weeks Value Case Sprint For leaders with a budget and a long list of AI ideas. With your finance team, we build the business case for the five to ten that matter. Outcome: an investment proposal the board can decide on
8 to 12 weeks AI Strategy & Roadmap Our complete program of nine working sessions, from AI ambition to an 18-month roadmap with budgets, roles and governance. Outcome: a strategy and roadmap ready for board approval
3 to 9 months Embedded leadership A part-time Chief AI Officer from Praexo who runs your AI program with your team, then hands it over. Outcome: the skills built inside your company
Not sure where to begin? A one-day executive session, or a three-week assessment of where you stand on AI, is usually the right first step. See ways to start