Microsoft 365 Copilot deployment, prompt engineering training, and AI governance — for EU regulated operators who need AI that is productive, safe, and measurable.
Consumer AI tools leak corporate data. Copilot licences sit unused. Nobody was trained to prompt effectively. The AI strategy is a slide deck from a vendor, not a measurable programme.
Teams experiment with ChatGPT on personal accounts. Sensitive data leaks into consumer AI services. Nobody owns the AI policy, nobody measures the ROI, nobody governs the usage.
You bought 50 Copilot seats six months ago. Adoption plateaued at 15%. Users tried it once, got mediocre results, and went back to manual workflows. The ROI report is due next quarter.
Engineers prompt like engineers. Sales prompts like sales. Nobody was trained. The delta between a good prompt and a bad one is the difference between "AI saves 5 hours/week" and "AI is useless."
Find the 10 use cases that actually matter.
Outcome
A board-ready AI strategy, not a vendor pitch.
Deploy Copilot. Train the team. Measure the impact.
Outcome
80%+ active Copilot usage within 30 days of go-live.
We keep AI productive, safe, and compliant.
Outcome
AI that stays governed, adopted, and productive as the team scales.
Department-by-department analysis of where AI saves time, reduces error, and accelerates output. Prioritised by impact and feasibility.
Industry-specific prompt templates for sales, legal, finance, operations, and engineering. Tested against your real data, not generic demos.
Four workshops — leadership, knowledge workers, technical teams, support staff. Each learns to prompt for their specific workflows.
Grafana-based dashboard tracking Copilot usage, feature adoption, time savings, and ROI per department. Board-ready reporting.
Acceptable use policy, data classification rules, shadow AI controls, and AI Act preparedness checklist. Mapped to DORA/NIS2.
SharePoint permissions audited, sensitivity labels deployed, DLP policies active. Your data is clean before Copilot touches it.
Copilot is only as good as the data it can access. If your SharePoint permissions are messy, your sensitivity labels are missing, and your users do not know how to prompt — Copilot will hallucinate, surface wrong data, or simply go unused. We fix the foundation, train the team, and measure the outcome.
The AI Readiness Workshop is platform-agnostic. We evaluate all options — Microsoft Copilot, Claude, Gemini, and self-hosted models — against your specific use cases, data residency requirements, and budget. The recommendation is honest, not vendor-locked.
We deploy an adoption dashboard that tracks three metrics: feature usage (which Copilot features are actually used), time savings (self-reported + automated measurement), and workflow completion rates. The quarterly report maps these to financial impact per department.
With proper configuration, yes. Microsoft 365 Copilot operates within your tenant boundary and respects existing access controls. The key is ensuring your SharePoint permissions are correct (so Copilot does not surface data users should not see) and sensitivity labels are applied (so Copilot respects classification). We audit and fix both before activation.
The AI Governance Framework includes an AI Act preparedness checklist. While M365 Copilot is classified as a general-purpose AI system (not high-risk for most use cases), we document usage patterns, risk assessments, and human oversight mechanisms so you are ready for regulatory scrutiny.
One senior specialist. Zero hand-holding. Results in weeks.