AI & Automation with Microsoft
Make Microsoft work for the way you work.
Choose the right tools. Put information and access on a sound footing. Help people use AI and automation with confidence, and scale what proves useful.
A modular programme for organisations bringing Microsoft 365 Copilot, Power Platform and AI agents into everyday work.
What does a Microsoft AI and automation programme include?
A Microsoft AI and automation programme connects tool selection, information protection, access, adoption and solution delivery around a defined business task. Amplified Pi combines only the modules that the organisation needs. The starting decision is whether Microsoft fits the task at all; an existing licence is not a reason to buy or deploy every product in the stack.
- When this is a good fit
- Several teams are already exploring Copilot, agents or automation, but responsibilities, dependencies and the next investment decision are unclear.
- Before you invest
- Agree one business owner, a representative task and the evidence that would justify progress. Existing platforms and a solution without AI remain valid options.
Choose a module to jump to its section below.
The right starting point. The modules you need.
We assemble the programme from the modules your task actually needs, building on the foundations already in place.
Protect information
Address oversharing. Label information. Verify protection rules.
Govern access
Request, approve, review and end access.
Microsoft Copilot Cowork
Delegate multi-step tasks with control.
Microsoft Power Platform
Enable business teams. Build and operate solutions within clear boundaries.
Microsoft Copilot Studio
Bound knowledge, actions and permissions to a clear purpose.
Microsoft Foundry · Azure AI
Add custom engineering when simpler options do not meet the need.
Community and champions
Share experience. Resolve questions. Spread useful working practices.
At the next decision point: scale, adjust or stop.
Modules can be combined. Selection and sequence depend on your task, existing foundations and the evidence from the work.
Where is the work getting stuck?
Use the problem to choose your entry point. Each module can stand alone or form part of a wider engagement.
Microsoft stack fit
Decide before you scale.
Establish where Microsoft fits your work, where it needs complementing and where AI adds no useful value.
Existing licences create an opportunity, not a business case. Buying another product will not resolve an unclear process or missing ownership.
A concrete output
A use-case shortlist with value hypotheses and explicit exclusions.
SharePoint · Microsoft Purview
Make information ready for wider use.
Address oversharing and information handling before expanding AI access.
AI can make existing information easier to find. Overbroad access remains overbroad access, even when a document carries a label.
A concrete output
An exposure register with owners, priorities and remediation decisions.
Microsoft 365 Copilot
Turn Copilot access into useful working habits.
Build adoption around real tasks and evidence of better work.
Licence assignment and a launch webinar do not show whether people can produce dependable work or whether the investment is worthwhile.
A concrete output
Role-based task playbooks and a supported pilot cohort.
Microsoft Teams · champions
Give adoption a home and an owner.
Create a community of practice that helps people solve everyday problems.
A busy channel is not a support model. Champions need time, a clear remit and somewhere to escalate questions they cannot answer.
A concrete output
A community charter, champion role description and launch calendar.
Power Apps · Power Automate · Dataverse
Let business teams build within clear boundaries.
Enable useful citizen development with ownership, controls and a route into supported operation.
Helpful personal flows become fragile when nobody owns connections, dependencies, changes or support.
A concrete output
A maker operating model and environment decision guide.
Microsoft Copilot Studio
Build agents that know their remit.
Move from a promising demo to an agent with tested knowledge, permissions and actions.
An agent can answer fluently and still use the wrong source, expose information or take an inappropriate action.
A concrete output
An agent specification and approved source inventory.
Microsoft Foundry · Azure AI
Add engineering where the requirement demands it.
Use custom AI capabilities when a clear need exceeds the simpler Microsoft or low-code route.
Custom development adds flexibility, but also evaluation, security, cost and operational responsibilities.
A concrete output
An architecture decision comparing custom and simpler options.
Microsoft Entra ID Governance
Make access a managed lifecycle.
Give people a clear route to request the resources they need and remove access when the need ends.
Ad-hoc approvals and permanent group memberships make a controlled rollout difficult to maintain.
A concrete output
An access-package catalogue for the selected resources.
Microsoft Copilot Cowork
Help experienced users delegate with control.
Introduce multi-step AI work through a bounded super-user programme.
Delegating a task creates a different responsibility from asking for a draft. Users must understand the proposed steps, allowed actions and when to intervene.
A concrete output
A super-user task portfolio with allowed and excluded actions.
People need to practise the responsibility, not just the prompt.
Our learning approach starts with roles, real tasks and the consequences of getting them wrong. Participants practise checking sources, handling information, recognising limits and knowing when to stop or escalate.
Explore the learning programmeStart with a decision you need to make.
Choose a bounded engagement with concrete outputs. We agree scope, dependencies and acceptance criteria before delivery. Timings and fees follow that scope; software and consumption costs remain explicit.
Fit & rollout decision
For an uncertain stack or investment decision.
Use-case shortlist, stack recommendation, dependency map and a scoped next step.
Readiness workstream
For an approaching rollout with unresolved controls.
Prioritised information and access work, tested controls and accepted exceptions.
Adoption & value cohort
For licences that need to become useful working habits.
Role-based learning, a supported cohort and evidence for a scale, adjust or stop decision.
Maker & agent launchpad
For a bounded automation or agent use case.
A scoped solution, evaluation evidence, release decision and operating handover.
Bring one workflow, its owner and the decision you need to make. We will use them to define the first module.
Next step