AI Services
AI strategy consulting: a clear plan before you spend.
Most AI projects stall because the strategy and the data were not ready. We help you decide where AI fits, which tools to use, and what to fix first, so the work that follows actually pays off.
The readiness sprint
A fixed-scope engagement with a defined finish line, not an open-ended consulting arrangement.
- 01
Discover
Weeks one and two. We sit with your teams, walk the real workflows, and list where hours actually go. No workshops about the future of work, just the work.
- 02
Assess
Weeks three and four. We look at your data and tenant the way an AI tool would: what is findable, what is protected, what is a mess, and what that means for each candidate use case.
- 03
Prioritize
Week five. Every candidate gets scored on impact, effort, and risk. Most lists shrink fast here, which is the point. Three use cases that ship beat thirty that do not.
- 04
Roadmap
Week six. You get the sequenced plan: the use cases worth doing, the right tool for each, what to fix in your data first, and plain-number costs. Then a working session to pressure-test it with your leadership.
What's included
Opportunity mapping
Where AI would pay off across your workflows, ranked by impact and effort rather than novelty.
Tool selection
Copilot, ChatGPT, or Claude, matched to each use case.
Data readiness
Get your content and tenant ready for AI to use.
Business case
Expected impact and cost, in plain numbers.
Roadmap
A sequenced plan, quick wins first.
Governance plan
Guardrails baked in from the start.
What you walk away with
Not a slide deck that sits on a shelf. A short, specific plan: the use cases worth doing, the tools for each, what to fix in your data first, and the order to do it in.
And because we are the team that can also do the fixing, the migration, the governance, and the rollout, the plan is written by people who have to live with it. That keeps it honest.
No. There is usually at least one low-risk use case you can pilot immediately while the bigger readiness work happens in parallel. The sprint identifies both: what you can start this month, and what needs the foundation fixed first.
First, we run an AI readiness assessment across your data, security, and current tooling. It shows what would break, leak, or underwhelm if you rolled out AI tomorrow. Then we rank the use cases by payback, because the first win funds the second. Next, you get a roadmap with real numbers — licenses, timeline, and the fixes that must land first. For teams on Microsoft 365, a copilot readiness assessment is included, so you know exactly what Copilot would see on day one. As a result, you spend once, in the right order. In short, AI strategy consulting replaces guesswork with a sequence you can defend to your board.
