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How to bring AI into a small accounting firm: five steps, lowest risk first
A small firm does not need an AI strategy. It needs one tool aimed at its most expensive drain, adopted with the care the rules already require. Here is a five-step rollout that keeps the risk low and the client data protected -- pick one drain, clear the data terms, pilot on one client, measure, then expand.
The short version:
- Pick one drain -- the task that costs you the most -- and aim one tool at it. Skip the grand plan.
- Clear the tool's data terms and WISP fit (your firm's written security plan) before any client file goes in. Section 7216 consent first for tax-return data.
- Pilot on one client for a few weeks with the old process running alongside.
- Measure a number you set in advance: hours off the close, days off turnaround, chase emails avoided.
- If it moved, expand and pick the next drain. If not, you spent little and learned something true.
- Want it run for you? Use the find a local pro tool below.
Step 1: Pick one drain, not a strategy
Name the task that costs you the most time or money and aim one tool at it. The usual first drains: hours keying receipts and coding transactions, a month-end close that drags into the third week, chasing clients for bank statements and W-9s, or researching a tax question from scratch. On this site those map to bookkeeping and close (QuickBooks, Double, Botkeeper, Truewind), the tax workflow (TaxDome, Canopy, Blue J, Karbon), and audit tie-outs (DataSnipper). Pick the one drain, not the whole list.
Step 2: Check the data terms and WISP fit
This is the step you cannot swap for enthusiasm. Get the vendor's data-handling and model-training terms in writing, confirm they do not train their AI on your client data, and make sure the tool fits inside your WISP -- the Written Information Security Plan the IRS requires every tax preparer to keep. For anything that touches tax returns, put the section 7216 consent in place first (section 7216 is the federal rule that you get client consent before their return data is used or disclosed, which includes going into a third-party AI tool). Our ethics and confidentiality guide has the vendor questions. Do this before a single client file goes in.
Step 3: Pilot on one client
Turn the tool on for one client, with your old process running alongside. A few weeks is enough. You will see where it saves real time and where it makes mistakes, without risking your whole book. Keep the client's data inside the terms you cleared in step 2, and tell the client if consent calls for it.
Step 4: Measure the hours saved
Pick the number before you start: hours off the close, days off turnaround, documents collected without a chase email, tie-outs done in half the time. Check it at the end of the pilot. A clear number is what tells you to expand or walk away -- not the demo, and not how the tool feels. Under Circular 230 you still review and sign the work, so the pilot also shows your team exactly what the AI got right and wrong.
Step 5: Expand to the next drain
If the number moved, roll the tool out wider and pick your next drain. If it did not, you spent a few weeks and a small subscription learning something true, and you move on. Repeat the loop. A local pro can run the whole thing for a firm that would rather do accounting than manage software -- see the find a local pro tool below. When you are ready to compare specific tools, start with all the tools compared.
Common questions
Where should a small firm start with AI?
Pick one drain -- the task that costs you the most time or money -- and aim one tool at it. Bookkeeping data entry, month-end close, chasing client documents, and tax research are the usual first targets. Do not buy a strategy; buy one fix.
How do I know a tool is safe for client data?
Before you pilot, get the vendor's data-handling and model-training terms in writing, confirm they do not train on your data, and make sure the tool fits inside your WISP. Section 7216 consent comes first for anything touching tax returns.
How long should a pilot run?
Run it on one client for a few weeks with your old process alongside. That is long enough to see whether the tool saves real hours and where it makes mistakes, without betting the firm on it.
How do I measure whether it worked?
Pick the number before you start -- hours saved on the close, days off the turnaround, documents collected without a chase email -- and check it at the end. If it moved, expand. If it did not, you learned something true for a small cost.
Do I need a consultant?
Not required, but a local pro can run the whole loop -- vendor review, WISP fit, setup, and training -- for a firm that would rather do accounting than manage software. See the find a local pro tool below.
Want help choosing and setting up?
Tell us your area and we'll point you to a local AI consultant who works with accounting firms -- picking the first drain, running the data-security review, and setting the tool up.
Find a local AI pro →