Make vs Microsoft Power Automate for Back-Office Work in 2026

The short verdict

Choose Power Automate if your back-office work is built around Outlook, Teams, SharePoint, Excel Online and Dynamics, or if you must automate a desktop application that has no usable interface for other tools. Choose Make if your work moves between several cloud applications, your team is spread across many people who each need to build or change automations, and you want to predict cost from the number of runs. Both tools can handle invoices, follow-ups and reports. They differ in how they charge, what they can reach, and how failures reach a person.

How the two products are priced

The most important difference is the unit you pay for. Make prices its paid plans by the number of operations per month, where each step a scenario performs counts against a monthly allowance. Make's tiers are named Free, Core, Pro, Teams and Enterprise, and third-party trackers describe them as per workspace rather than per user, which means adding staff does not add a seat fee. The Free tier has a small allowance of 1,000 operations and a limit of two active scenarios, according to a 2026 pricing guide from templates4make. Make's own pricing page should be checked for current figures, so this article does not quote paid-plan prices from third-party sites.

Power Automate prices by person and by machine. Microsoft lists Premium as a per-user plan that covers cloud flows, attended desktop automation and premium connectors. Process and Hosted Process are licensed per bot, so one bot can serve many users. The per-user price is $15 per month billed yearly, and the per-bot prices are $150 and $215 per month, according to CostBench, whose Power Automate page was last verified in October 2026. Microsoft's own licensing FAQ confirms the logic: the Premium user plan is intended for a human user, while Process and Hosted Process license the flows and machines rather than the user.

Many Microsoft 365 business plans also include a limited version of Power Automate. That version covers standard connectors only, so it is useful for moving data between Microsoft apps and not for reaching outside systems. Microsoft's Power Platform licensing guide of January 2026 states that desktop automation requires a separate Power Automate purchase, so the included version cannot replace RPA.

Side-by-side comparison

The table shows only what could be checked. Where a vendor's current page was not confirmed, the cell says so. A decision should use the vendor's live pages and a trial account.

Connectors and reach

Power Automate is strongest inside Microsoft's own ecosystem. Standard connectors cover SharePoint, Outlook, Teams, OneDrive, Forms and Excel Online without extra licensing beyond the Microsoft 365 plan. Once a flow touches a database, a third-party accounting or CRM product, or a custom web service, a Premium or Process license is generally needed. Microsoft's own guidance says that the seeded version does not cover premium connectors, so this is a licence question as much as a technical one.

Make's value is in breadth across cloud tools. Its app library is wide enough that many mid-size back-office stacks can be connected without custom code. Make does not offer desktop RPA in the sense Power Automate does. If the task involves a legacy Windows application with no API, Make will not automate it on the desktop, and that gap should decide the matter early.

Error handling and what happens when a step fails

Failures are where back-office automation either saves time or creates a mess. Make's help centre describes what happens without any error handling: the scenario stops, and the failed execution moves to a manual queue that a person must clear. Make also offers error handlers that let a scenario follow set logic, such as retrying the task, substituting a value or skipping the error, so work continues without waiting for someone to intervene.

In practice, this means the design work is in the route you build for failures, not just the happy path. A payment reminder that fails because one customer has a missing email address should not stop the other four hundred reminders. A common approach is to route the failed record to a review list and send an alert to the person who owns it. Whatever tool you choose, decide in advance which errors can be retried safely and which need a human decision. Retrying a duplicate-prone action, such as creating an invoice twice, can cause more damage than the original failure.

Total cost of ownership beyond the list price

The sticker price is the smallest part of the bill for most back-office projects. Four drivers matter more.

Setup time. A simple two-step flow takes an afternoon. A reconciliation that matches bank lines to ledger entries, with exceptions, can take weeks to test. Multiply the number of processes by the hours of design and testing, then multiply by your team's hourly cost.

Maintenance. Every connected application changes its interface or API over time. Someone must notice when a flow breaks and repair it. Assign that duty by name before you go live.

Breakage. Desktop flows are the most fragile. A software update that moves a button can stop a bot overnight. Cloud flows break less often, but a change in a vendor's API or a revoked login can still stop them. Keep a list of which account owns each connection, so that a departure does not leave flows without a valid login.

Vendor lock-in. Both tools store logic in their own format. Plan on rebuilding a workflow rather than exporting and importing it. Keep a written description of each process, its inputs and its exception rules, so the rebuild does not depend on one tool's file.

Who each tool is right for

• Power Automate suits businesses that already pay for Microsoft 365, keep their documents in SharePoint and Teams, and need to run work on Windows desktops.
• Make suits businesses with several cloud tools, a small number of people building flows, and a need to keep running costs tied to volume.
• Neither suits a process that depends on reading unstructured documents, making judgment calls on disputed items, or talking to customers in their own words. Those tasks need a different kind of tool, covered below.

When a custom AI worker wins

A rules-based tool moves data from one field to another. It does not read a scanned purchase order that arrived in three formats, decide that a supplier name is a near-match, and draft a reply for approval. A custom AI worker is built for that middle ground. It can read the document, check it against the records you name, prepare the entry or the reply, and place anything uncertain in a queue for a person to decide.

This is usually the better choice when the process has many exceptions that each need reading, when the work crosses both documents and several systems, or when the number of people who must change the flows would make a per-user licence hard to justify. It is usually the wrong choice for a simple, stable, two-system task that a standard connector already handles. A custom build also takes longer to set up than a template.

Migration notes if you switch

Start by listing every live automation, its owner, how often it runs and what it touches. Rank them by cost of failure. Rebuild the highest-value two or three first, and run the old and new versions side by side for at least two weeks before switching off the old one. Check that both produce the same records. Make sure the error route in the new version sends alerts to a person, not to an inbox nobody reads. Finally, close the old connections so that stale logins do not leak access.

A test workload to run before you decide

Pick one process that runs every working day, such as sending payment reminders or copying bank lines into a spreadsheet. Build it in both tools with a trial account. Record how many operations or actions each run uses, how many people need a licence, how long the build took, and how many exceptions reached a person. Run it for five working days. The results will depend on your own volumes, which is why the free audit measures them against your real figures. Book a free automation audit to get that comparison done on your own workload.