Use Case Backlog
A prioritised backlog of AI use cases, ranked by impact, effort and feasibility.
AI Consulting & Governance
AI strategy and roadmap for the 12 months ahead — the use case backlog, the build vs buy analysis, the architecture, the data, the governance, the talent, the cost, the ROI, written as a plan the team and the board can act on, updated quarterly as the AI landscape changes.
Use Case Backlog
Build vs Buy
Architecture & Data
Governance & Risk
Talent & Operating Model
Cost & ROI
Overview
AI strategy is the work of deciding what to build, what to buy, what to defer, over the next 12 months. The output is a written plan: the use case backlog, the build vs buy analysis, the architecture, the data, the governance, the talent, the cost, the ROI. The plan is the deliverable, updated quarterly as the AI landscape changes.
We do AI strategy as a written engagement, with the use case backlog, the build vs buy, the architecture, the data, the governance, the talent, the cost and the ROI as the output. The plan is the artefact the team and the board can act on, with the assumptions and the trade-offs named.
This is the wrong engagement if the team has already decided what to build. The right answer there is an AI consulting engagement or an AI development engagement, not a strategy one.
What we deliver
A prioritised backlog of AI use cases, ranked by impact, effort and feasibility.
A build vs buy analysis per use case, with the recommendation the team can act on.
The target architecture, the data, the infrastructure the AI strategy needs.
The governance, the risk and the compliance the AI strategy needs to address.
The talent, the operating model and the org design the AI strategy needs.
The cost, the ROI and the budget the AI strategy needs to commit to.
Our process
01
Discover
We meet the team, the data, the business and write the brief on paper.
02
Plan & Design
We design the use case backlog, the architecture, the governance and the cost.
03
Develop
We write the plan, the architecture and the cost analysis as a deliverable.
04
Deploy
We hand over the plan, the trade-offs and the next three months of work.
05
Optimize & Grow
We review the plan quarterly and update it as the AI landscape changes.
Technology
What you can expect
Industries we serve
AI consulting is the specific decision. AI strategy is the 12-month plan that ties the decisions together. The strategy is the longer engagement; the consulting is the specific question. The two overlap, and we will say so on the call.
A written 12-month plan, with the use case backlog, the build vs buy, the architecture, the data, the governance, the talent, the cost and the ROI. The plan is the artefact the team and the board can act on, with the assumptions and the trade-offs named. The plan is not a slide deck.
A quarterly review, with the use case backlog re-prioritised, the build vs buy updated, the architecture refined, the cost revised and the ROI checked against the actuals. The plan is a living document, not a one-off deliverable. The quarterly review is part of the engagement.
Yes, when the team wants us to. The plan is the deliverable of the strategy engagement. The implementation is a separate engagement, with the plan as the input. The two are independent — you can take the plan elsewhere, or we can implement it.
Related services
Business software
Tell us the outcome you need. We’ll come back with an approach, a timeline and a written estimate.