AI strategy & roadmap
AI strategy built around measurable return
An AI ambition the leadership team agrees on, the projects worth backing, value cases your finance team has checked, and a roadmap the board funds one stage at a time. For a single company or a group with several business units.
What you leave with
1A board-ready AI strategy
2A shortlist of AI projects with their expected value, and the ideas to stop
3Value cases built on today’s figures, checked by your finance team
4An 18-month roadmap with owners, budgets and board decision points
5Who decides what, centrally and in the business units, and the governance to run it
Five steps
How a strategy engagement runs
Each step ends in a written, agreed result that the next one builds on.
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
Envision The executive team agrees what AI must change about the business. Output: an agreed AI ambition
Prioritize Every AI opportunity scored on value and feasibility; the best are worked out in detail with finance. Output: a shortlist with value cases
Plan The order of work for AI projects, data, roles, decision rights and governance. Output: an 18-month roadmap
Commit The board reviews the investment case and decides whether to fund the first phase. Output: a funding decision
The stages
The Praexo AI strategy framework
- Govern &EducateAcross every stage: oversight, risk and the skills your people need
- Stage 1Vision &
PlanningWhat AI must achieve- AmbitionWhat AI must do for the business, agreed by the whole executive team.
- Value mapWhere AI creates and shifts value across your value chain and industry.
- Current readinessWhere 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, centrally and in the business units, who builds, and how AI work is funded.
- Roadmap and fundingEighteen months of milestones and owners, funded one stage at a time.
- Stage 3Execute &
MeasureFirst results, measured- First use casesAI systems 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
- Guided implementation: months, always tailored
- Program: two or three days
Every building block ends in a result your leadership team can act on.
Find your starting point → Value cases
Choosing AI projects
Each one backed by figures your finance team checks.
Value × ViabilityEvery opportunity scored on business value and on data, technical and organizational feasibility.
Business value → Feasibility →
Illustrative. Dot size shows estimated annual value. Strategic bets
High value, harder to do: prepare first
High value, harder to do: prepare first
Priority projects
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
What every value case includesFour types of benefit, every cost, and today’s figures, agreed with finance before work starts.
Today’s figures firstCurrent cost, cycle time or error rate, signed off by finance before work starts.
AI’s share of results agreed in advanceHow 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.
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.
Working with us
Guided implementation
We work alongside your team for several months, from first decision to measurable results.
Always tailored to measure
The three tracks show a typical scope and duration. No two engagements are the same. Each one starts with a scoping conversation and is shaped around your goals, your data, your teams and your pace. Scope, phases, sessions and outputs are agreed with you in writing before we start.
Typically about 12 weeks First use case Take one AI use case from idea to an approved, funded start, and prove how AI pays off in your company. How it works → Typically 6 to 9 months From Vision to Execution Your full AI strategy and its execution plan, with the program running and the first initiatives under way. How it works → Typically 18 months AI transformation program We guide your company through the full roadmap, from strategy to measurable results and AI in daily work. How it works →
Most clients start with a program of two or three days and continue with a guided track. Not sure which fits? Start with an introduction.