Solutions
AI Adoption
For leadership teams who bought AI licenses or ran pilots and still don't see AI in the daily work. We find out where AI adoption actually stands, role by role, and help your people use AI in the work they already do.
You're likely a fit if…
You bought the licenses. Usage is thin.
A few enthusiasts use AI every day. Most people tried it once and went back to the old way.
Leadership and the teams see different pictures.
Ask leadership and AI is rolling out. Ask the teams and nobody has shown them what to use it for.
The training happened, and nothing changed.
A general session showed what AI can do. It didn't show a dispatcher or an accounts clerk what to do differently on Monday.
People are wary of it.
Some worry it will replace them. Others worry about getting it wrong with customer data. Both keep AI out of the real work.
What we build
An honest baseline of AI use
Where AI adoption actually stands in each role: who uses which tools, for what work, and what stops everyone else. Drawn from interviews and the usage reports your AI tools already provide.
Learn more: An honest baseline of AI useWorked examples for each role
For each role, the two or three daily tasks where AI helps now, shown step by step on that team's own documents and systems.
Training built on real work
Short, hands-on sessions for each team on its own tasks, led by our partner, who leads AI adoption and change management. Managers get a session on leading the change.
Champions and a measure that shows it stuck
A champion in each department, a shared library of examples that work, and a few measures agreed up front, such as active use by team and time spent on named tasks.
Clear rules, so people aren't afraid to try
Many people hold back from AI when they don't know what's allowed. Approved tools and plain limits on data give them permission to use it.
AI Policy & Governance: Clear rules, so people aren't afraid to tryCoding agents for your engineering team
For developers, adoption means AI coding agents that hold up on your real codebase. That's our engineering enablement pilot.
Learn more: Coding agents for your engineering team
Scope
Included, and not
An adoption baseline, worked examples by role, training for the teams in scope, a champion network, and a second look after rollout. Not included: buying licenses for you, or decisions about roles and staffing.
What we need from you
An executive sponsor who uses AI visibly, a manager in each team in scope, time on the calendar for sessions, and admin access to the usage reports of the AI tools you license.
Your people's privacy
We report AI use by team and tool, not by person, unless you decide otherwise. People are more honest about what they use when nobody is being graded.
What drives cost
How many teams, roles and locations are in scope, which AI tools you already license, and how long you want support after rollout. Assessments are fixed-fee. Builds are scoped and priced after the assessment. Advisory is a monthly retainer.
How we'd start
Take the AI Adoption Check on this page. Your AI Snapshot shows where you stand and where companies like yours usually start.
Talk it through with Daniel: 30 minutes, no pitch deck.
Run an Assessment. Role-by-role interviews show who uses AI today, what holds the rest back, and which tasks to start with.
Roll out team by team: worked examples, hands-on training and champions, with the measures agreed before the first session.
Measure again after rollout, fix what didn't stick, and hand the program to an internal owner.
Common questions
What does AI adoption mean in practice?
People using AI in their real daily work, not just having access to it. We look at it role by role: who uses it, for which tasks, and whether that work got faster or better.
We already ran AI training. Why didn't it stick?
General training shows what AI can do. People change habits when they see it done on their own tasks, with their own documents, and when their manager expects it. That's what we set up.
Do we need new AI tools first?
Often not. Start with the tools you already pay for. When the real gap is a missing tool, we build AI into the systems people already work in.
How does the AI Adoption Check fit in?
It's the quickest first step: two questions, a short conversation with our AI assistant, and an AI Snapshot of where you stand. The Assessment then maps AI adoption across your roles in full.
How long does it take?
The Assessment takes two to four weeks. Rolling out to a first team or department is usually S (1–3 weeks) or M (1–2 months). Company-wide adoption runs in stages, department by department.
Industries where this applies
Let's find where AI pays off in your business.
Thirty minutes with Daniel. No pitch deck: you talk about your business, I tell you honestly where AI fits and where it doesn't.