Foundations
What large language models are, what Copilot can and can't do, and how to use it safely with your data.
- How AI works, in plain words
- Your first useful prompts
- What to share and what not to
Licences don't change how people work. Confidence does. Our framework starts from your teams' own use cases and context: how Copilot can help in their day-to-day work, and what that work needs. From there it takes them from the basics of large language models to working with agents every day, measured, so the new way of working actually sticks.
What large language models are, what Copilot can and can't do, and how to use it safely with your data.
Copilot in the work people already do, with prompts tailored to their role, not a generic demo.
Knowing when a prompt is enough, when an agent helps, and when to ask for something to be built.
The people who keep it going: they spot use cases, build agents and help colleagues.
Every use case your teams find goes through the same simple decision tree. Some are best as a prompt they reuse, some as a personal agent, and a few deserve a governed solution your IT team owns. Choosing well keeps costs down and gets value sooner.
A well-written prompt the person saves and reuses, right inside Outlook, Teams, Word or Excel.
For example: summarise a long email thread and draft the reply.
A small agent someone builds for their own repeat task, grounded on the files and sites they already use.
For example: an agent that answers questions from the team handbook.
A governed agent for a whole team or process, built and supported with your IT and AI teams.
For example: intake and triage of internal requests across a business unit.
We meet the team lead, pick the roles to start with and agree what success looks like.
Short conversations with the people who do the work, to capture their real tasks and language.
We shape the workshop and prompts around those roles, so every example feels familiar.
A hands-on workshop. People try it live and capture their own use cases as they go.
A take-home pack, then an impact check about a month later, so you see what changed.
Most rollouts give everyone the same generic training and hope for the best. People try it once, don't see their own work in it, and stop. We start from each role's real tasks, let people practise on them, and measure the result. Good ideas that need more than a prompt go to your IT or AI team in a form they can act on.
Through Assento, on behalf of Microsoft, we rolled out our framework at a leading bank in South Africa: a stepped pathway from first prompts to working with agents every day, run business unit by business unit. The bank continues to scale our framework as we work alongside their key subject-matter experts and Microsoft on their Copilot adoption strategy and drive for 2026 and 2027.
Full case study coming soonWorks with Microsoft 365 Copilot licences and with Copilot Chat. The from-price covers one or two teams, up to 25 people in total, with hands-on sessions in small groups. Scale to more teams at your own pace, with a lower price for every further rollout.
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