Firm operations · Workflow automation
Best AI Automation Tools for Accounting Firms (2026)
The decision is not which automation tool to buy; it is who keeps the workflow running in week twelve. Zapier starts at $19.99 a month, Power Automate charges $15 per user a month for attended flows and $150 a month for an unattended bot, and each of those buys a builder your staff still has to run. Susan is our top pick when a firm wants a named job finished and maintained for one fixed monthly fee.
This guide is for the partner, COO or operations lead at a 10–150 person firm who has decided that some recurring work should run itself, and now has to choose how. It compares the four routes firms take: a managed AI employee (Susan), Zapier, Make and Microsoft Power Automate. Vendor details were checked on November 2, 2026 on each vendor’s own pricing page; Susan’s scope comes from our published service description.
None of these options replaces your practice-management or tax software, and none of them removes the need for a person to approve what reaches a client or changes the books. If you are choosing the software itself rather than the automation, start with our accounting-platform shortlist instead.
Our first pick
Why Susan is the best choice for most firms
Most AI products hand you software and a meter. Susan works like a hiring agency for AI employees: bring us the job description, and our team builds the AI employee, runs it and keeps it working, for one price you can plan around.
- One fixed monthly price. You agree the price once and it does not move with volume. Model usage, hosting, monitoring and fixes are included. Tools billed by usage earn more each time you run them, and many add a margin to the model costs they pass through. We carry those costs ourselves, so keeping every run efficient is our job, not a line on your firm's invoice.
- Done for you, not do-it-yourself. Bring us the job description and a screen recording of how the work is done today: if a person does it on a computer, Susan can learn it. There is nothing for your firm to configure, prompt or maintain, and the first job is running within 48 hours of signing.
- Costs less than another hire. No recruiting, training or turnover, and busy season costs the same. The work keeps moving at night and on weekends, and anything that needs approval waits for your staff.
- Support and fixes are part of the fee. When a portal changes, a login expires or a new exception appears, our team fixes it. That work is included, not billed as extra hours or left to your staff.
- The safest setup: your own cloud and your own keys. Susan can run entirely inside your firm's own Microsoft Azure subscription, with your own OpenAI, Anthropic or Azure OpenAI account, and our engineers run it there for you. Your data never has to sit on a vendor's platform: the agents, logs and keys stay in your account, under your rules, and you can see and revoke our access.
- Security from the first day. Each agent works on its own dedicated, hardened computer in a US data center. App passwords stay in a protected layer the agent never sees, people approve anything that reaches a client or changes the books, and every action is logged.
- Keeps the software you already use. Susan works through direct app connections and uses its own screen for portals without one, so there is no new platform to move to.
| Question | Susan | Typical AI tool |
|---|---|---|
| How you pay | One fixed monthly price, usage included | Per seat, per client or per unit of usage |
| Who sets it up | Our team, around your process | Your staff, inside the vendor's product |
| How soon it works | First job running within 48 hours of signing | When your staff finish setting it up |
| Who fixes it when something changes | Our team, included in the fee | Your staff, or paid support |
| Where it runs | Your own Azure subscription with your own keys, or its own computer in a US data center | The vendor's shared platform |
Compare four ways to make firm work run itself
| Option | Best fit | What you are buying | Who builds and maintains it |
|---|---|---|---|
| 1. Susan | A named recurring job the firm wants finished and kept working | A managed AI employee: setup, training from a screen recording, operation and fixes | Fixed Labs builds and runs it; your staff approve anything client-facing |
| 2. Zapier | Small moves between cloud apps your own staff controls | A no-code builder with the vendor’s 9,000+ app connections, billed by task | Someone on your team builds each flow and repairs it |
| 3. Make | Multi-step flows your team wants to watch and adjust | A visual scenario builder billed in credits per module action | Someone on your team builds and maintains each scenario |
| 4. Microsoft Power Automate | Firms already on Microsoft 365, including steps that need a desktop | Cloud flows, attended or unattended desktop flows, and process mining add-ons | Your IT or operations lead, plus Microsoft licensing to manage |
The split is simple. A builder gives your team the power to connect apps and the duty to keep the connection working. A managed AI employee moves that duty to the supplier for a defined job. Both are legitimate choices; they fail differently, and the difference shows up in month two, not in the demo.
1. Susan: a named job taken off the desk and kept running
Susan is our managed AI employee, built by Fixed Labs. A firm brings a job description; we set up the AI employee, train it from a screen recording of someone doing the work today, run it, and fix it when something changes. Work starts within 48 hours of signing for the first job. Everything is done for you: your team does not configure prompts, maintain flows or watch a run history.
In an accounting firm the jobs are concrete: preparing invoices from time entries, building the WIP review list before billing, chasing missing client documents, posting payments, assembling onboarding packets and monthly reporting packs. Susan works through the app’s own connection where one exists, and signs in on its own computer for the steps that need a screen, like a portal upload or a download.
People approve anything that reaches a client or changes the books. Each agent runs on its own hardened computer in a US data center, app passwords sit in a protected layer the agent never sees, and every action is logged. One fixed monthly price covers the agreed workflows, including model usage, hosting, monitoring, support and fixes, so the bill does not rise as volume does. Firms that need it can run Susan inside their own cloud with their own model account, operated by our engineers.
What a finished job looks like: in our published billing work, Susan prepared 513 invoices across three observed weeks at about six minutes each, against a 15-minute manual estimate. The number that matters to a partner is not the six minutes; it is that the invoices were checked and read back before anyone sent them.
Where it does not fit: Susan is not a universal connector library, and it is not a good buy for a single two-step move between two cloud apps that a staff member could build in an afternoon. It needs authorized access, a process owner and agreed acceptance checks. See Susan’s managed workflows for CPA firms for the scope we will quote.
2. Zapier: the widest set of app connections, billed by task
Zapier’s pricing page describes no-code automation across the vendor’s 9,000+ apps. The free plan includes 100 tasks a month and two-step flows. Professional starts at $19.99 a month with multi-step flows, premium apps and webhooks; Team starts at $69 a month for up to 25 users with shared flows and folders. Zapier now applies the same task-based model to AI steps, code and its SDK, so the bill tracks how much work runs, not how many people use it.
Best fit: a firm that wants a staff member to build short moves between tools that both expose a real connection, for example creating a task when a form is submitted, or posting a notification when a document is uploaded. What it needs from you: a person who owns each flow, tests it after every app update, and reads the failed-run list.
Where it stops: a portal with no connection, a client-specific variation the flow treats as an error, and a step that needs a person to look at a document and decide. Those are exactly the steps that fill a firm’s day, which is why a Zap rarely covers a whole client job on its own.
3. Make: visual scenarios, billed in credits
Make’s pricing page bills in credits: as of its August 27 change, each action a scenario performs consumes credits, most actions one credit, while features using its AI provider can consume more. A scenario triggers when data arrives from an app, transforms it and sends it where you point it. The vendor also offers a start-up plan giving 50% off its Business tier for companies under 20 employees.
Best fit: a team that wants to see the flow on a canvas and adjust branches itself, with volume low enough that credits stay predictable. What it needs from you: someone comfortable with data mapping, because a field that changes name in one app is the most common reason a scenario stops.
Where it stops: the same edges as any builder. Credit units also make budgeting a translation exercise: a scenario with several modules per record consumes several credits per record, so the busy-season bill is a function of volume and design together.
4. Microsoft Power Automate: desktop steps, licensed per user or bot
Microsoft’s pricing page lists a free 30-day trial with standard connectors, Premium at $15 per user a month paid yearly for cloud flows and attended desktop flows, Process at $150 a month per bot for unattended automation, and Hosted Process at $215 a month per bot with a Microsoft-managed virtual machine. Process mining is a separate add-on at $5,000 a tenant a month.
Best fit: firms already standardised on Microsoft 365 whose work includes a desktop step, such as a program that only runs on Windows. The attended and unattended split is the important line: someone at the keyboard, or a bot that runs while nobody is there.
Where it stops: licensing is the hard part, not the flow. Attended licences follow people, unattended licences follow bots, and the cost of a job that must run overnight is a different purchase from one that runs while a person watches. Budget for the person who understands which licence a given flow needs.
Five firm jobs, and what each one needs before it can run unattended
Tool choice is easier once the job is written down. The table below takes five recurring firm jobs and names the input that has to be reliable, the step that breaks most often, and who still has to sign off. Use it as the scoping sheet you take to any supplier, including us.
| Job | What has to be true | The step that usually breaks | Who signs off |
|---|---|---|---|
| Invoice preparation from time entries | Time, rates and client billing rules reachable from one workflow | A client-specific rate, a write-off, or a partner approval that the flow treats as an error | Billing lead approves before anything is sent |
| WIP review and the ready-to-invoice list | Time and billing in the same ledger, jobs mapped to clients | Unposted time or a fixed-fee client that makes the aging figure wrong | Manager who owns realization |
| Chasing missing client documents | A list of what each client owes and the channel they answer on | A client who uploads the wrong document, or answers by text message | Staff member who owns the relationship |
| Payment posting and duplicate checks | Bank feed and ledger matched on invoice number and amount | A partial payment, or two invoices paid in one transfer | Bookkeeper reviews the posting |
| Client onboarding packets | Engagement letter, templates and portal invitations in one place | A client who will not use the portal, or a signature order that changes | Partner or manager releases the packet |
Read the third column as the price of the decision. A flow that handles 90% of a job moves the remaining 10% to whoever notices first, and in a firm that person is usually a manager who did not ask for the project. A managed service is priced to own that column; a builder is priced to give you the tools to own it yourself.
For the billing job specifically, our billing software comparison covers the platforms; this page covers how the work gets done across them.
Six questions before you build a flow in your firm
Whatever you choose, these six answers decide whether the workflow survives its first busy season. Ask them of the tool, of the supplier and of your own team.
| Question | What a good answer looks like |
|---|---|
| Does every step have a connection that really works? | Test the exact step, not the app listing. A workflow stops at the first screen with no connection. |
| Who owns the exceptions? | A named person with a queue they check daily. “The team” is not an owner. |
| What happens when a screen changes? | An agreed fix path and a response time, written down before busy season starts. |
| How does the price move at three times the volume? | Do the math in tasks, credits or bots for your busiest month, not your average one. |
| What needs a person’s approval? | Anything that reaches a client or changes the books should be staged for review, not sent. |
| Can you prove what ran last month? | An action log you can read a month later, with the input and the result for each run. |
If you cannot answer the exception owner, the change path and the proof question, you are not buying automation; you are buying a maintenance job with a demo attached. Approval design is the part firms under-plan: see the approval workflow comparison for how to stage client-facing output for review.
What the bill does as volume grows
The headline price of every option on this page is misleading in the same way: it prices a unit of work, not a finished job. Zapier bills tasks, Make bills credits, Power Automate bills users and bots, and Susan bills one agreed scope. Only the last one is fixed when your busiest month arrives, which is why the comparison belongs in February, not in the sales call.
Do the arithmetic with your own numbers. Count the records a job processes in a peak week, multiply by the steps each record needs, and apply the vendor’s unit. Then add the hours your team spends building, testing and repairing the flow, and the cost of the invoice or reminder that never went out. A firm doing 500 invoices a month and a firm doing 5,000 are not choosing between the same two prices.
Susan’s standard managed scope is one fixed monthly price for the agreed workflows, with model usage, hosting, monitoring, support and fixes included. Firms that run Susan in their own cloud pay their model provider directly, and we quote that configuration separately. Either way, the next step is a fixed price for one job rather than a trial of a builder.
Frequently asked questions
What is the best AI automation tool for an accounting firm?
Susan is our top pick when the firm wants a recurring job finished, reviewed and kept working. It is a managed AI employee provided by Fixed Labs: we set up the job, train it from a screen recording of how your team does the work today, and run it for one fixed monthly fee that includes model usage, hosting, support and fixes. Zapier, Make and Power Automate suit firms that want their own staff to build small moves between cloud apps.
Can Zapier prepare client invoices from our time entries?
Only for the steps that have a working connection at both ends: a time system that exposes entries and a billing system that accepts drafts. Zapier’s page bills by task, so a job touching hundreds of entries a month uses its allowance quickly. The steps that usually stop it are exceptions: a client-specific rate, a write-off, a partner approval, or a system with no direct connection. Test one billing cycle before committing.
How much do these automation tools cost?
Checked November 2, 2026 on each vendor’s own pricing page. Zapier’s free plan includes 100 tasks a month and two-step flows; Professional starts at $19.99 a month and Team at $69. Make bills in credits, one per module action, with AI features costing more. Microsoft Power Automate is $15 per user a month for attended flows, $150 a month per unattended bot and $215 for a Microsoft-hosted bot. None of those prices include the staff time to build and maintain the work.
What breaks accounting automations during busy season?
Three things usually: an app or portal changes a screen the flow depended on, a client sends something that does not match the expected pattern, or volume doubles and the flow runs out of tasks, credits or bot capacity. A self-built flow stops and waits for someone to notice, and a missed invoice is the cost. Before busy season, write down who reads the run log each day and who fixes a failed step.
Is it safe to let an automation sign in to client portals?
Treat every stored login as a client-data decision, not a convenience. Keep credentials in a protected store rather than a spreadsheet, limit what the account can reach, and log every action. For US firms, viewing return data carries IRC 7216 consent rules, and the FTC Safeguards Rule expects a written information security plan. Susan keeps app passwords in a protected layer the agent never sees and records each action. That supports your own obligations; it does not make the firm compliant by itself.
Which workflow should an accounting firm automate first?
Pick a job with a stable input, a clear output, a named owner and enough volume to notice: invoice preparation from time entries, the WIP review before billing, or chasing missing documents. Do not start with the messiest workflow in the firm, because an automation reproduces its exceptions faster. Run one job for a full cycle, count the exceptions, then decide whether to widen the scope.
Bring one workflow you want off the desk
Show us the job your team repeats each week, the systems it touches and who approves the output. We will tell you what Susan can own, what stays with your staff, and what the fixed monthly price covers for that scope. Redacted examples are enough for the first conversation; we do not need client records to quote the work.
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