Opportunity assessment
A prioritized view of the work AI could improve, with the business need and readiness of each area.
Set your AI priorities.
Decide where to invest in AI and keep those decisions current. We assess the opportunities, build the roadmap and work with leadership as projects develop and priorities change.
A clear basis for investment.
Cost and value
Estimates of benefit, effort and ongoing cost, with the assumptions visible and the uncertainties identified.
A working roadmap
An agreed sequence of work, project owners and decision points that can be updated as you learn.
Strategy continues after the first plan.
Your AI priorities depend on business goals, available people and what your systems can support. We bring those factors into the same discussion, so the plan reflects the work your organization can take on and the results you need.
Once projects are running, you have more evidence: what people use, where quality holds up and what it takes to maintain the systems. Ongoing strategy brings that learning back into investment decisions and the order of work.
How we set the priorities.
Set the direction
Leadership shares its goals and constraints. We speak with the people doing the work, review the current systems and agree what the assessment needs to establish.
Make the first decisions
Together we compare the opportunities, challenge the estimates and choose the work to pursue. The roadmap records what each project needs before it can begin.
Review as the work develops
For an ongoing engagement, we agree a review rhythm with your leadership team. You bring current results and business decisions; we update recommendations and help resolve the next priorities.
The decisions between projects.
Ongoing strategy creates a place to resolve the questions that cross teams, budgets and individual projects, with the right people involved.
Keep the reasoning
We record why a project has priority, what must be true for it to succeed and who makes the next decision. That record makes it possible to revisit a choice when the underlying assumptions change.
Review the evidence
We compare results with the original goals, including output quality, use by the team, operating cost and maintenance effort. The review informs whether to expand the work, change its scope or stop investing.
Reassess the options
We help leadership assess relevant changes in AI capabilities and suppliers against the roadmap. New possibilities receive the same scrutiny as existing projects: business value, readiness, effort and a responsible owner.