Power Automate and the Power Platform: Automating the Work Around Microsoft 365

Most companies do not lose time to the work itself. They lose it to the work around the work. Someone fills in a form, emails it to a manager, the manager forgets, a reminder gets chased in Teams, the approved copy gets saved to the wrong folder, and three weeks later nobody can find it. None of that is anyone’s job description. It is just friction, and it is everywhere.

The Power Platform exists to remove that friction. If your business already runs on Microsoft 365, it is the cheapest meaningful automation you can buy, because the tools sit right on top of the data and permissions you already have.

What the Power Platform actually is

It gets talked about as one product, but it is really four that work together:

Power Automate runs the workflows. A file lands in SharePoint, an approval goes out, a record updates, a Teams message fires.
Power Apps gives you the interface. A form your field team can fill in on a phone, without you commissioning a custom app.
Dataverse is the structured data store underneath, with proper tables, relationships and security roles.
Power BI reports on all of it.

You rarely need all four on day one. Most of the value in the first year comes from Power Automate plus whatever your people already use, which is usually SharePoint and Teams.

Where it pays off fastest

The processes worth automating first share a shape. They happen often, they follow rules, and the rules do not change much. In practice that means:

Approvals. Leave requests, purchase orders, content sign-off, expense claims. These are the classic first win because the logic is simple and the current pain is obvious to everyone.

Document workflows. A contract gets uploaded, metadata gets applied, the right people get access, a retention policy attaches, and a reviewer gets notified. This is where Power Automate and SharePoint together do their best work.

Onboarding and offboarding. New starter forms that create accounts, assign licences, provision a Teams channel and generate a checklist. Offboarding matters even more, because that is where organisations quietly leak access they meant to revoke.

Data collection. Replacing the spreadsheet that gets emailed around with a Power App that writes to one governed source.

What good automation looks like

The teams who get real value do a few things differently.

They start with one painful process and finish it properly, rather than automating six things halfway. A single flow that reliably handles every edge case builds far more internal trust than a fleet of demos.

They map the process before they build it, including the exceptions. Almost every approval has a “unless it is over this amount” or “unless the requester is the manager” rule that nobody wrote down. Those exceptions are where flows break.

They decide who owns the flow. Automation is software. It needs a person whose job includes noticing when it fails.

Where teams get stuck

Two failure modes come up again and again.

The first is sprawl. The Power Platform is easy enough that anyone can build something, which is a genuine strength and also the problem. After eighteen months you have three hundred flows, half of them built by people who have left, and no one is confident which ones are load bearing. The fix is not to restrict who can build. It is to put an environment strategy, naming conventions and a basic review process in place before you need them.

The second is licensing surprises. Premium connectors, Dataverse capacity and per-flow plans have real costs that are easy to design yourself into by accident. Work out the licensing implications of an architecture before you commit to it, not after.

Adding AI without starting over

This is the part that has changed most recently. Power Automate flows can now call AI models directly, and Copilot Studio agents can trigger flows as actions. That combination is more useful than either on its own.

A flow is excellent at deterministic steps: move this, notify them, update that. It is poor at judgement. An AI model is the reverse. Put them together and you can build something like: a supplier invoice arrives, an AI model extracts and classifies the line items, a flow routes anything above a threshold to a human, and everything else posts straight through. The AI handles the reading. The flow handles the plumbing. A person handles the exceptions.

That is also the safest way to introduce AI into a business that is nervous about it. The automation is auditable, the AI is contained to one step, and a human stays in the loop where it counts.

Where to start

Pick the process your team complains about most, the one with an obvious owner and a clear rule set. Automate that one end to end, measure the time it gives back, and use that result to fund the next one. Automation programmes that start with a visible win tend to keep their budget. The ones that start with a platform rollout tend not to.

We build Power Platform automation on top of SharePoint, Microsoft 365 and Dynamics 365, with the governance to keep it maintainable. See our Power Platform automation service, or get in touch and tell us which process is costing you the most.