A leadership-first programme for measurable AI adoption. Not another tools demo: alignment, governance and reusable workflows that turn licences into return.
of enterprise GenAI pilots fail to deliver measurable ROI
Teams experiment in different directions
Licences bought before usage principles are clear
Prompt quality varies by person
Valuable workflows stay trapped in individual habits
Governance and ownership added too late
The result is predictable: more AI activity, but limited visibility, inconsistent quality and uneven ROI. Adoption has to start at the top, because leadership decides the operating model.
"I don't need another walkthrough of the app. Show me what someone who really knows this tool would do with my week."
"We use it every day and the workload has not gone down. My team has swapped doing the work for talking to the AI."
"A few of the more technical people have worked out clever ways of using it. Everyone else is stuck on the basic chat with six tabs open."
The same licence supports very different levels of work. The training moves each leader to the level their role needs.
Not every leader needs level five. What matters is knowing which level each function needs, and who owns the levels above it.
Every session produces working assets, not notes. Four kinds.
Projects that hold a department's tone, rules, templates and definitions. Set up correctly and shared, they produce the quality everyone expects without refining the same task every time.
Your best methods written as instructions any colleague can access, run and improve: the weekly report, the client proposal, the meeting follow-up.
Work too large for one pass is split across agents that research, analyse, draft and check in parallel. You brief once.
The Monday pipeline review, the Friday client summary, the month-end pack. Built once, connected to your tools, running on schedule.
We also audit each department's recurring work to find the Skills nobody thought to ask for. The small tasks that repeat every week are usually where the hours are. Participants leave confident building Skills of their own, the kind that remove hundreds of collective hours a month.
Some work belongs inside the AI assistant. Some belongs in an orchestration layer the AI plugs into. Getting this wrong is how good pilots fail: a high-volume process ends up in a chat window with no retry, no log and no audit trail.
Research, analysis, drafting, review and decision support. Variable, lower volume, reversible.
Weekly and monthly rhythms across Monday, Slack, Drive and Calendar, with a person in the loop.
Thousands of runs that must survive failure. n8n, Make or Zapier carries the process; AI becomes one intelligent step inside it.
Sometimes the answer is that you do not need AI for this at all. That conversation is cheaper than the licence.
A tailored leadership session that builds a shared view of adoption before your teams scale further use. We encourage signing NDAs to protect your intellectual property during discovery.
Claude training for a 12-executive C-suite at a financial firm: security posture, governance and hands-on use cases in a regulated industry.
90% practical, 10% theory, all on examples from your business.
Fifteen minutes with each department head and a sample of what their team produces. The training is then built on your material, not generic examples. Included in every programme.
One call with your CTO or security lead: connector permissions, data boundaries and a synthetic data pack for the exercises. We handle none of your data at any point.
One shared day for the leadership team: safe usage, effective prompting, Projects, Skills, dashboards and routines, built live. Everyone leaves with working assets.
Three-hour sessions that build departmental Projects, Skills or agentic workflows on real work: tested, iterated and documented.
Bookable support after delivery: fixing blockers, extending what was built, deciding what to automate next.
Everything from the labs goes into one solution with a guide, governance and review dates.
Every measure is agreed in writing with your sponsor before the foundation day.
Before anyone leaves: can each leader turn a task into a work-ready output, and judge what is safe to use? Plus the first thing they will apply that week.
Usage frequency, confidence across Projects, Skills and dashboards, and minutes per workflow before and after. Everything later is measured against this.
Is every leader working through a Project or Skill on real tasks, with approved inputs and human review? Barriers are logged and assigned an owner.
Approved workflows in regular use, each with an owner, a reviewer and retained evidence. Time saved is compared against the day 7 baseline.
Daily use is the reason to do it. High-usage teams have the widest quality gap, because everyone has developed a private method and none of them are written down. The first session usually surfaces three or four things being done by hand that should have been a Skill six months ago.
Before anything is scheduled we speak to each department head for fifteen minutes and review a sample of their team's work. The training is then built on your material: your board pack, your tender response, your candidate screen. This is included in every programme.
Yes, and it is a common starting position. We agree data boundaries and approval before anything gets built. Every exercise runs on synthetic data inside your own workspace, and we handle none of your data at any point.
The Projects, Skills, agent routines and tool connections, plus a prompt library, the session recording and a written internal guide with named owners. All of it lives in your tenancy and nothing depends on us to keep running.
Yes. Reference calls with previous clients, sample training material, and a contained first option covering the foundation day and a starter set of labs before any wider rollout.
Adoption is measured against the agreed baseline at each checkpoint. If targets are missed, we add support at no charge until they are met.
A 30-minute call is enough to scope the right readiness programme for your leadership team. No pitch deck, no obligation.