Services / Design

02

Service area

Design services.

Shape the right plan before people are asked to change.

Design turns opportunity into a workable plan. It brings the rollout, training, governance and automation choices into one route that leaders and teams can understand.

This is where we decide what to do first, what to leave alone and how to measure progress without making adoption heavier than the work itself.

Services in Design

Choose the support that fits where you are now.

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Copilot Adoption Roadmap

Copilot adoption consultancy helps UK professional services firms turn Microsoft 365 Copilot licences into confident everyday use. It is for organisations where access is in place but usage is patchy, unfocused or hard to measure. We shape the rollout around the teams, workflows, training and support that turn access into normal working habits.

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What this helps with

  • Rollout phases
  • Target teams
  • Priority use cases
  • Training needs
  • Governance
  • Champion support
  • Success measures.

Outcome

A practical adoption plan that gives people a route to value, not just access to a tool.

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Microsoft 365 AI Strategy

A practical strategy for using Copilot, agents and automation across Microsoft 365. The focus is on where AI supports the business, how adoption should be managed and what to avoid doing too early.

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What this helps with

  • Business goals
  • Priority departments
  • Adoption approach
  • Governance
  • Training
  • Automation opportunities

Outcome

A joined-up Microsoft 365 AI plan that connects tools, people and everyday work.

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Automation Roadmap

A sensible order of priority for automating the work that slows people down. We separate quick wins from processes that need more thought before anything is built.

What this helps with

  • Candidate processes
  • Effort
  • Risk
  • Value
  • Dependencies
  • Where Power Automate or agents fit

Outcome

A phased automation plan that avoids chasing every idea at once.

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AI Governance Planning

A simple set of guardrails so teams know how to use AI safely and usefully. The aim is to support adoption, not bury staff in policy language.

What this helps with

  • Acceptable use
  • Review points
  • Data handling
  • Ownership
  • Risk areas
  • Practical staff guidance

Outcome

Clear AI guardrails that support adoption without slowing everything down.