Diagnostic
1–2 weeks
Maturity baseline across 6 dimensions. Scored, benchmarked, with the gaps named explicitly. Output is a board-ready report and a prioritised list of next moves.
Services
Three offerings, one team — pick the depth you need.
Most engagements start with the free diagnostic, then move into one or more of the three offerings below. Senior practitioners only — no juniors on the file.
01 · Advisory
Strategy you can defend.
When the next quarter's roadmap has to hold up in front of a board, an investor, or an exec committee.
Due diligence
2–4 weeks
When a specific decision needs a defensible answer. Pre-acquisition Data & AI assessments, post-acquisition integration plans, board-prep deep-dives.
Strategy & roadmap
3–6 months
Sequenced delivery from diagnostic to scored portfolio to living roadmap. We work alongside your team — same senior practitioners across the engagement. The methodology stays defensible after we leave because your team owns it.
02 · Training
Capability your team retains.
Trainings designed so your team owns the work after we leave. Catalogue of 272 trainings ranked to your maturity, gaps, and constraints.
Executive programmes
Half-day to 6 weeks
AI strategy for board members, exec committees, and senior leaders. Frame the agenda, not just the buzzwords. Includes the AI Champions programme (6-week cohort).
Practitioner workshops
1–3 days
Hands-on training for your data, product, and engineering teams. Prompt engineering, GenAI for daily work, data foundations, responsible AI & GDPR.
Function-specific tracks
Custom
Trainings tailored to a function — sales, marketing, ops, support, finance, HR, product, IT. Delivered in EN or FR, in-person or remote.
03 · Build
Products that ship.
When the right answer is a working tool, not another deck. The same senior practitioners who advised you write the code.
AI-augmented workflows
4–12 weeks
Production copilots, smart assistants, and workflow automation embedded in your existing tooling — Salesforce, HubSpot, Notion, Linear, Slack, internal tools.
Data foundations & pipelines
6–16 weeks
When the use case is blocked because the data isn't there. Data warehouse setup, ELT pipelines, semantic layers, internal text-to-SQL — the prerequisite work that unlocks the AI use cases.
Specialised LLM applications
8–24 weeks
RAG over your knowledge base, fine-tuned domain assistants, document-processing pipelines, multi-agent systems. Built with the right model for the job — Claude, GPT, open-source, hosted or self-hosted.
Not sure which one fits?
Start with the free diagnostic — twenty questions, seven minutes. We'll point you to the right shape of engagement, even if the answer is none of them.