You bought Copilot. Or ChatGPT. Or something your vendor promised would change everything. Nobody's using it. That's fixable — and it's not a training problem.
Let's Talk →Here's what's happening today
Copilot on top of a messy SharePoint is a disaster. Bad data governance is the number one reason AI tools fail to deliver after rollout.
Generic vendor training shows features. Nobody translates those features into your team's actual workflows. So people try it once and go back to what they know.
62% of AI tools fail to reach 40% adoption within 6 months. Most organisations don't measure this — so they never know it happened.
"Use it for emails" is not a use case. Teams need specific, practised workflows tied to their role. Vague guidance produces zero behaviour change.
Clean permissions, sensible data classification, Copilot-safe SharePoint structure. The foundation that makes AI tools safe to use.
We find the 5 workflows where AI actually saves your team time. Specific, testable, measurable — not a list of vague possibilities.
Role-specific training built around what your team actually does. Not a vendor webinar. Not generic slides. Hands-on with your real workflows.
A prioritised rollout plan with success metrics and checkpoints. You know exactly what happens in weeks 1, 4, 8, and 12.
We track adoption and intervene early when it drops. Most programmes fail silently — we measure, report, and course-correct.
We assess why adoption failed before recommending anything. The fix for a governance problem is different from the fix for a training problem.
Every training session, every use case, every roadmap is built around what your team actually does — not a generic AI playbook.
We define adoption metrics before we start. Active users, time saved, tasks completed with AI. Reported at 30, 60, and 90 days.
Scope agreed upfront. Most programmes see measurable adoption improvements within the first four weeks.
Which tools do you have? Which teams? What was the original goal? What actually happened after rollout? We map the current state honestly.
Adoption gap report
Microsoft 365 Copilot, Copilot Studio, Teams, SharePoint, and the full Power Platform. The most common adoption challenge we work on.
Deployment, policy, use case design, team training.
Enterprise adoption, API integration, workflow design.
Any AI tool your team already has. We work with it.
Usage data, adoption metrics, 90-day reporting.
One tool, one team. Governance, 5 use cases, bespoke training, 90-day roadmap.
Multiple tools or departments. Cross-team use case design. Adoption reporting at team level.
Organisation-wide rollout. Multiple tools. Exec reporting. Change management support.
All programmes include fixed pricing and 30-day post-programme check-in
View full pricing →
Digital marketing agency with 15 clients. Manual processes consuming 180+ hours monthly. AI tools bought but not embedded into workflows.
Mapped current processes, identified 5 high-value AI use cases, built a GPT-4 content pipeline with human review workflow and adoption metrics.

London consulting firm with AI tools in place but manual matching still happening. Hours of work per allocation cycle. Workload imbalances causing burnout.
Governance review, use case sprint identifying allocation as highest-value workflow, GPT-4 system trained on real project data with team training and 90-day adoption plan.
30 minutes. Tell us which tools you have, which teams, and what adoption looks like right now. We'll tell you if we can help and what it costs.
Tell us what's not working →Not ready for a full programme? Start with an AI Audit — it maps the problem before you commit to a solution.