Innovation & Optimization
Once your teams are comfortable with Microsoft AI, the question changes. It stops being how do I use this and becomes what should we no longer be doing manually. This phase works department by department to find the answers, then rebuilds those processes with the people who run them.
Phase Five is where Microsoft AI stops being a tool people use and starts changing how the work gets done. It only works once people are genuinely fluent, which is what the phases before it build.
The Problem This Phase Solves
Most organizations already know roughly where their time is being wasted. What they lack is somebody with the time, the method, and the mandate to do something about it.
Nobody has time to look
The work that would save time never gets time. Everybody is busy running the process, so nobody is free to step back and question whether it still needs to exist.
The loudest problem is not the best one
Teams tend to pick whatever annoys them most. Sometimes that is expensive to change and saves little, while a quieter irritation nearby would pay back in a week.
Good ideas stay put
Somebody builds something genuinely useful and three other departments never hear about it. The same work keeps getting done by hand a floor away.
What Actually Happens
This phase is scoped project work rather than sessions. Each piece is defined and agreed before anything is built.
Map where time goes
Working sessions with a department to trace how the work actually flows, including the handoffs and workarounds that were never written down anywhere.
Pick by effort and payoff
Candidates get ranked by what changing them would return against what changing them would take. That ordering is usually a surprise to everyone in the room.
Build it with the team
Rebuild the process using Microsoft AI, Copilot, and Power Automate, alongside the people who do the work, so it belongs to them rather than to us.
Hand it over properly
Document what changed, agree who maintains it, and package it so the departments doing similar work can pick it up without starting over.
What You Walk Away With
Changes to how the work happens, not recommendations about how it could.
A process opportunity map
Where the time actually goes in the departments we looked at, with candidates ranked by effort against payoff so the next decision is straightforward.
Working improvements
Processes rebuilt and running, built with the people who use them so they can adjust and maintain them without calling us first.
A pattern others can reuse
What worked in one department documented well enough that the next one can adopt it, which is where the return stops being linear.
How This Phase Is Delivered
Three stages, each scoped on its own.
Many organizations start with discovery in a single department and decide the rest from what it finds.
Discovery
Working sessions with a department to map how the work really flows and surface the candidates worth changing, ranked by what each would take and return.
Build
Designing and building the improvement alongside your team, using Microsoft AI, Copilot, and Power Automate, with the scope agreed before the work starts.
Handover
Documentation, ownership, and packaging so your team can maintain what was built and other departments can adopt it without repeating the discovery.
This is where project work gets defined.Discovery is straightforward to scope. What comes after depends entirely on what discovery finds, so builds are quoted individually once there is something real to quote against. Nothing starts before you have agreed to the scope, the expected outcome, and who owns it afterward.
How You Know This Phase Is Done
Not when the build is finished. When these four are true.
You know where the time actually goes in the departments you looked at, in more detail than anyone assumed.
At least one process has been rebuilt and is running in ordinary use without us involved.
The people who do the work can change what was built when the work changes around it.
Another department has picked up what worked and adapted it without starting from scratch.
Find the work worth changing
Tell us which departments feel the most friction and what your teams keep complaining about. We will propose a discovery engagement that shows you where the time is going and what it would take to get it back.
Helping organizations succeed with Microsoft AI.
