Consulting · The roadmap
AI roadmap and long-term adoption strategy
An AI roadmap sets out what your business should implement, trial and research, in what order, and why. It is written in the context of what is already moving in the business, every recommendation carries its reasoning, and it is built to be revisited as tools and vendors change.
- 01
Implement, trial, research
What the business should implement now, what it should trial, and what it should only watch, in what order and why. Every recommendation carries its reasoning.
- 02
Written in the context of what is already moving
The system migration under way, the licences already paid for, the data findings already on the table, the rollout already planned. The roadmap fits the business as it is.
- 03
Presentable to the board as it stands
Each item carries the case for it, so the roadmap goes upward without being rewritten, and the person leading AI has independent evidence for the decisions they take.
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Built to be revisited
Tools and vendors change. The roadmap is built to be revisited as they do, with the reasoning intact, so it is updated instead of started again.
Where it sits
The roadmap is usually the last of the four consulting parts, delivered once the process audit has scored the opportunities, the governance and policy work has set the rules, and the champions have shown what the tools can do in your hands. Where the roadmap points to a role, an AI Employee is one of the options it weighs, with its reasoning stated like every other.
Progress you can see
A fortnightly 30-minute check-in with a short written update, weekly if you prefer, for as long as the consulting runs. We sit behind the person leading AI inside the business, we carry the workload, and everything we produce is handed to you in full.
Start with a conversation
Tell us what is already moving in the business. We will tell you what a roadmap would cover for you, in what order, and what it would take to write.