The best AI use cases in financial services for a small firm are the operations jobs around the work: setting up new clients, chasing missing documents, watching deadlines, building month-end report packs and preparing for client meetings. The professional work stays with your people: the reconciling itself, tax positions and financial advice. Where it stops: the average firm runs on about ten programs, and the copying between them is still done by hand.
AI use cases in financial services, for a small firm
Most of what gets written about AI use cases in financial services is aimed at banks: fraud models, lending, trading. A bookkeeping, accounting, tax or wealth practice of 10 to 50 people has a different problem. The client work is skilled. The hours leak out around it, in intake forms, reminder emails, deadline lists and report packs.
Firms are already using AI. Intuit's 2026 survey of 725 US accounting and bookkeeping professionals found 88% use it for at least one client service. But only 30% said AI is fully built into how they work by default; the largest group, 54%, reaches for it when it feels helpful. The gap between those two numbers is where a firm's first real use cases sit.
The AI use cases worth starting with
Client intake. When a client signs, someone sends the intake form, sets the client up in the CRM and the practice software, and builds the folder and task list. Chasing documents. Bank statements, receipts and tax slips arrive late, and someone writes the same reminder again and again. Deadlines. Someone checks the open work each morning and tells staff and clients what is due.
Month-end report packs. The numbers come out of QuickBooks or Xero and go into the firm's template, client by client, for a reviewer to check. Meeting prep for wealth practices. Before a review meeting, someone pulls the client file, past notes and open items into one page, and after it, writes up the follow-ups. Billing. Finished work gets matched to each client's engagement and invoiced.
In each of these, AI does the gathering, the writing and the chasing. A professional still reviews the result.
What AI should leave to your people
The work clients pay for stays with the firm's professionals: reconciling the accounts, deciding a tax position, judging whether an investment suits a client, and giving advice. AI can put the inputs in front of them, organized and complete. It shouldn't make the call.
The rules treat AI like any other tool. FINRA says its rules are meant to be technology neutral and apply when member firms use AI, the same as any other tool, and that firms should check an AI tool before they use it. The FTC's Safeguards Rule lists tax preparation firms, financial advisors and investment advisors that don't have to register with the SEC among the businesses it covers. It asks them to check that service providers can protect customer information, write security terms into their contracts, and keep watching their work.
Ways to put AI to work in a financial firm
Features in your practice management software
- How it works
- Practice software now automates parts of the chase. Financial Cents, for example, sends email and SMS reminders to clients until they answer a pending request.
- Good for
- Firms whose clients, tasks and deadlines already live in one practice program.
- Where it breaks
- It works inside its own program. Checking what came back, filing it and moving the client's work along across QuickBooks, Xero and email is still done by staff.
Build automations yourself
- How it works
- Zapier Agents lets a firm create agents, give them company knowledge and have them work across the 9,000+ apps Zapier connects to.
- Good for
- A firm with someone who enjoys building and has time to look after what they build.
- Where it breaks
- Client data then moves through one more service, which the FTC expects you to check and oversee. And the person who built it is the one who fixes it in tax season.
Outsource the work
- How it works
- Many firms send whole services out. Intuit's survey found 80% of respondents outsourced at least one service, most often accounts payable and receivable, tax preparation and financial statements.
- Good for
- Whole services the firm doesn't want to staff.
- Where it breaks
- Someone still sends the files out, tracks what came back and checks it before the client sees it.
Arkeo agents for the operations layer
- How it works
- We go through the firm's jobs with you and set up agents in your own accounts. They set up new clients, chase documents, watch deadlines and build report packs for your reviewer, across your practice software, books and email. The professional work stays with your team.
- Good for
- Firms where skilled staff spend hours a week on admin between programs.
- Where it breaks
- Agents need access to the programs each job touches, given once at setup, and your firm's rules for each job written down with us.
Practice software vs outsourcing vs Arkeo agents
| Practice software features | Outsourcing | Arkeo agents | |
|---|---|---|---|
| What it covers | Steps inside one program | Whole services sent out | Operations jobs across your programs |
| Professional work | Stays with you | Done by the outside firm | Stays with you |
| Who moves work between programs | Your staff | Your staff, both ways | The agent, with checks |
| Who checks the result | Your staff | Your staff | Your reviewer, with problems flagged |
Where the software stops: the work still done by hand
The trouble isn't a missing app. Intuit's 2026 survey found the average accounting firm runs on about 10 programs, and one in three runs 11 or more. Only 41% say their tools are fully integrated; 48% call their setup functional but fragmented. Asked what most holds them back from advisory work, 30% named manual data cleanup, ahead of staffing shortages at 24%.
Each program does its own part well. The practice software chases the client. The books hold the numbers. The CRM holds the relationship. Between them, a person reads the uploaded files, renames and files them, updates the task, pulls the month's figures into the report template and emails the client. The survey write-up advises checking whether data can flow from one system to the next without a person; if it can't, that gap comes first.
AI use alone doesn't close it. Karbon's 2026 report found 98% of accounting firms use AI daily or several times a day, and Intuit's survey shows most still use it when it feels helpful rather than in repeatable work. Meanwhile, three in five respondents told Intuit that clients always or often ask for proof of how AI protects their data. A small firm needs the work between programs done, and done in a way it can explain to a client.
How to start with AI in a small financial firm
Start with one operations job, not the professional work.
- 1
List the admin jobs
Ask each person what they do by hand each week around the client work: intake, chasing, deadlines, reports, billing. Note the hours and the programs.
- 2
Draw the line
Mark what stays with your professionals: reconciling, tax positions, advice. Everything an agent does feeds a reviewer.
- 3
Check the rules that apply to you
Tax preparers and many advisors fall under the FTC Safeguards Rule, which asks you to oversee any service that touches client information.
- 4
Turn on what your practice software has
If your practice software already sends client reminders, set them up first.
- 5
Broker-dealers: read FINRA's notice
FINRA member firms should check any AI tool against the rules that already apply before using it.
- 6
Hand over the first job
Give one job that crosses programs to an agent, and have a reviewer check its work for the first month.
Agents for the operations of a financial firm
Each of these handles admin around the client work, and hands the professional part to your team.
New clients start without anyone setting them up.
- Sends the intake formwhen they sign
- Sets up the client in your CRM and project toolsame day
- Builds the folder and task listsame day
Late work gets caught before the client asks.
- Checks open tasks and due datesevery morning
- Sends deadline notices to clients and staffahead of each date
- Flags late work to the ownerright away
Monthly reports ready to review, not to build.
- Pulls the month's numbersat month end
- Builds the report from your templateper client
- Sends it to your reviewersame day
Days of building becomes a review.
- Reads the client fileper client
- Builds it from your templateper document
- Checks your wording word for wordevery time
Questions
Is my customers' information safe?
Yes. Agents work in your own accounts and see only what each job needs. Customer details never go into public AI. Agents connect to AI through business-grade connections audited under SOC 2.
Can AI do the reconciling or give advice?
Not in our setup. Agents gather, organize and chase. Reconciling, tax positions and advice stay with your professionals.
What are the most common AI use cases in accounting firms?
Data entry and processing was the top client use in Intuit's 2026 survey, at 54%. In operations, the common jobs are intake, chasing documents, deadlines and report packs.
Do financial rules allow AI?
Yes, with the same duties as any tool. FINRA says its rules apply to AI as to any technology, and the FTC Safeguards Rule asks covered firms to oversee the services that touch client data.
What does it cost?
You get the price on the call, along with the hours it saves your team.