AI Strategy & Roadmap

Most enterprises already have AI in several functions at once. What they lack is a shared view of which initiatives matter, what they will cost to run and in what order to do them. We build that view with your leadership team and turn it into a roadmap that can be funded.

Talk to an advisor How we deliver it

Strategy & governance

Why leadership teams bring this to us

AI spending spreads across functions faster than anyone can compare it. Pilots compete for the same data and the same engineers, business cases are written after the work has started, and leadership is asked to approve initiatives one at a time without seeing the portfolio they belong to.

What the service covers

Readiness assessment
A baseline across strategy, data, technology, people and governance, so the roadmap starts from where the organization actually is.
Use-case portfolio
Opportunities identified with business teams and scored on value, feasibility, data readiness and risk, then ranked into a portfolio leadership can fund and defend.
Business cases
A business case and a baseline for each priority initiative, written before the work starts, so value can be measured against it later.
Roadmap and sequencing
A 12 to 18 month plan that sequences initiatives around data readiness, the SAP timeline and the capacity of the teams that will deliver them.
Technology strategy
Architecture principles and platform direction that keep AI, SAP and data investment pointing the same way.

How we deliver it

01
Baseline
Interviews, document review and a short survey establish the current state across strategy, data, technology, people and governance.
02
Discover
Workshops with business teams surface opportunities; each is described in the same format so they can be compared.
03
Prioritize
Opportunities are scored on value, feasibility, data readiness and risk, and ranked with leadership into a portfolio.
04
Plan
The portfolio becomes a sequenced, costed roadmap with owners, business cases and the first initiatives ready to start.

What you should expect to change

One portfolio
Leadership sees every AI initiative in one place and can compare them on the same terms.
Funding that follows value
Investment goes to the use cases with the best case for it, not the loudest sponsor.
A realistic sequence
Initiatives are ordered around the data and the teams they depend on.
Measurable from the start
Each initiative begins with a baseline, so its value can be shown later.