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How Are Small Accounting Firms Using AI to Automate Client Onboarding and Document Collection? 5 Real Firms (2026)
Updated October 19, 2026 · 8 sourced examples · vendor help docs and regulator pages linked · no paid placement
In our library, small accounting firms mostly use AI to build their own intake forms and client portals, and to work out which documents each client should send. Blueprint Accounting in Ottawa built a tax intake form that tells each client which documents to send, and AFI Balance in Townsville runs new clients through onboarding and AML checks in a portal it built itself. Agate CPA's conversion rate rose about 25% after it built a richer prospect form, per the Journal of Accountancy. No accounting firm in our library uses AI to write or send its engagement letter, and the bigger time savings come from vendor case studies by Truss, Filed and Digits, so those figures come from the companies selling the tools.
- Our library has 5 owner or press cases of a small accounting or bookkeeping firm using AI for intake, onboarding or document collection: Blueprint Accounting, AFI Balance, Agate CPA, Conscious Accounting and High Rock Accounting. High Rock's is a prototype only.
- The clearest pattern, at Blueprint Accounting, is a form that asks about the client's year and lists the documents to send. Then someone on the team checks what arrived against that list.
- None of the owner or press firms gives a time saving for onboarding. Agate CPA's conversion lift of about 25% is per the Journal of Accountancy.
- No accounting firm in our library uses AI to write or send its engagement letter.
- The biggest numbers come from 3 vendor case studies (Truss, Filed, Digits). Those are vendor figures, not independent results.
Jump to: Intake and scoping · Engagement letter · Document collection · Portal and AML · Prototypes and plans · Still check · DIY setup · The 8 examples · Cost · FAQ
What do these 5 firms and 3 vendor case studies actually do with AI for onboarding and documents?
Each firm links to its full case, with steps and a copy-paste prompt. The first 5 are owner or press stories. The last 3 are vendor case studies, written by the company selling the tool. Results are as told to the source, not promises.
| Firm | What AI or automation does | Tool named in the source | What they reported |
|---|---|---|---|
| Blueprint Accounting, Ottawa (owner) | A personal tax intake form asks about the client's year and, from the answers, tells the client what to send. The team checks what the client said they'd send against what arrived. Claude helped plan it. | Claude, Airtable, Lovable | Version one, in Airtable, took two evenings and is the one in use. A Lovable rebuild took about forty minutes and eleven prompts but is not ready for clients. No tax-season time savings given. Self-reported. |
| AFI Balance, Townsville, Queensland (owner) | After the first meeting, a new client gets an invite, signs through every onboarding step including AML checks, then gets portal access. PEP and watchlist scans run automatically and data comes in from Xero. | Perplexity Computer (Claude Sonnet in the background, she says), Xero, GitHub | She says the first version took about ten minutes to build. Live with a small group of core clients and herself, not yet her team. No time figures. Self-reported. |
| Agate CPA, Atlanta and Rogers, Ark. (press) | A richer prospect intake form asks industry, headcount, revenue band, startup vs established, prior CPA experience and why they want a new firm. Responses flow into ClickUp. | Lovable, Claude, ClickUp | Conversion rate rose about 25%, per the Journal of Accountancy. Cost described as minimal. |
| Conscious Accounting (press) | AI summaries of structured intake forms flagged friction points and possible out-of-scope work before a fixed fee was set. A staff-built chatbot answers client questions about a new tax law. | Chatbot platform not named | Per Davis, the chatbot immediately reduced inbound emails and calls about the new law. No counts published. No result given for the intake summaries. |
| High Rock Accounting, Scottsdale, Arizona (press, prototype) | The head of tax, with no tech background, built a working prototype of a new onboarding and tax organizer. | Claude, Claude Code | A working prototype in a few hours, per the Journal of Accountancy. Client use not stated, so this is not a result. |
| Foard and Company, Charlotte (vendor case study: Truss) | Truss sends each client an interactive organizer built from last year's, collects and organizes uploads automatically, tracks each return's status, and delivers drafts and e-signatures in batches. | Truss, Lacerte | 94% positive client rating from 1,329 respondents, 6,365 projects in year one, and fewer seasonal staff needed for paperwork. Vendor figures from Truss. |
| Track, Minneapolis (vendor case study: Filed) | Filed looks at what clients sent and flags what's missing based on last year. An HSA deduction last year with no Form 8889 this year gets flagged. It also writes AI workpaper summaries for reviewers. | Filed, CCH | Over an hour saved per return in manual prep work, and missing items caught before the April deadline. Vendor figures from Filed. Expanding to all returns was a plan. |
| Eiduk Tax & Wealth (vendor case study: Digits) | An AI-native ledger learns each client's transaction patterns, so categorization, reconciliation and review happen in one workflow and the owner reviews exceptions. | Digits | Bookkeeping client onboarding went from two to four hours to closer to an hour, if the client is responsive. Vendor figures from Digits, published in CPA Practice Advisor. |
Step 1: How do firms use AI for intake and scoping?
Intake is where most of these firms start. The AI either helps build a better form or reads the answers before the firm sets a fee. For more accounting setups beyond onboarding, see AI automations for accounting firms.
At Agate CPA in Atlanta and Rogers, Ark., the website interest form only asked for name, email and a reason. That produced many sales calls but few conversions. Cofounder Sarah Harris built a richer form with Lovable and used Claude to embed it. It asks industry, headcount, revenue band, startup vs established, prior CPA experience and why they want a new firm. Responses flow into ClickUp. The conversion rate rose about 25%, per the Journal of Accountancy, and the cost was described as minimal. Full case: Agate CPA's prospect intake form.
Nicole Davis, owner of Conscious Accounting, used AI on structured intake forms for a large reconstruction of a client's historical accounting records. AI-generated summaries flagged friction points and work that might fall outside her scope assumptions before she set a fixed fee. No result is given for that step. Source: AICPA & CIMA. Full case: Conscious Accounting.
Step 2: Do firms use AI for the engagement letter and e-signature?
Not in our library. None of our accounting firms uses AI to write or send its engagement letter.
These are the closest examples. At Foard and Company, Truss delivers drafts and e-signatures in batches. That is a vendor claim from a Truss vendor case study. AFI Balance's portal walks a new client through every onboarding step, but the source doesn't describe AI writing an engagement letter.
Natasha Everard, a sole practitioner at Bewitching Bookkeeping, uses her engagement letter to tell clients about her AI use. She has a written AI policy and keeps client data out of ChatGPT. Source: AccountingWEB. Case: Bewitching Bookkeeping.
Step 3: How do firms use AI to collect client documents?
Each example below works the same way: work out which documents each client should send, then check what arrived against that list.
At Blueprint Accounting in Ottawa, tax season used to start with three weeks of chasing documents instead of preparing returns. Version one of founder Brian Clare's personal tax intake form lives in Airtable. He built it in two evenings after working it out back and forth with Claude. It asks about eligibility, a spouse, income types, dependents, working from home, investments, rental properties, self-employment and deductions. From the answers, it tells the client what to send. The team then checks what the client said they'd send against what actually arrived. No tax-season time savings are given. Source: The Firm, AI in Practice Summit. Full case: Blueprint Accounting's intake form.
Two vendor case studies show the same idea inside paid software. At Track in Minneapolis, Filed flags missing documents based on last year. If someone claimed an HSA deduction last year but no Form 8889 arrived this year, it flags it. CEO Conner Kelderman reports saving over an hour per return in manual prep work. Those are Filed's figures, from a Filed vendor case study. Full case: Track.
At Foard and Company in Charlotte, PDF organizers came back half-filled and staff combined client PDFs by hand. Truss now sends each client an interactive organizer built from last year's and collects and organizes uploads automatically. Truss reports a 94% positive client rating from 1,329 respondents and 6,365 projects in year one. Those are vendor figures from a Truss vendor case study. Full case: Foard and Company.
Step 4: How do firms automate onboarding steps, the client portal and AML checks?
Katie Johnson, founder and CEO of AFI Balance in Townsville, Queensland, spent close to two years trying to get client data and onboarding into one place. She built an onboarding and client app with Perplexity Computer. She says it uses Claude Sonnet in the background and is hosted on AWS in Australia. After the first meeting, a client who wants to onboard gets an invite, signs through every step including the AML checks, and then gets access to the portal. For AML, it runs the PEP and watchlist scans automatically and shows whether someone is high-risk. It pulls data in from Xero. Every morning at 7am, Perplexity Computer audits the site to make sure the apps are working. When she spoke, the portal was live with a small group of core clients and herself, not yet her team. Source: The Firm, AI in Practice Summit panel. Full case: AFI Balance's client portal.
For bookkeeping clients, John Eiduk of Eiduk Tax & Wealth moved to Digits, an AI-native accounting platform. He tested it on his own firm's books first. "QuickBooks onboarding used to take me two to four hours per client," he says. "Now it's closer to an hour, assuming the client is responsive." Those figures come from Digits, in a Digits vendor case study published in CPA Practice Advisor. Full case: Eiduk Tax & Wealth.
For onboarding setups in other kinds of firms, see AI client intake and onboarding automation.
What is still a prototype or a plan?
Several things in these stories are not results yet. Keep them separate from what firms actually run with clients.
- High Rock Accounting: head of tax Susan Wozena has no tech background. She built a working prototype of a new onboarding and tax organizer with Claude and Claude Code in a few hours, per the Journal of Accountancy. The article doesn't say whether clients use it. Case: High Rock Accounting.
- Blueprint Accounting: the Lovable rebuild pre-fills last year's answers, auto-saves, asks AI-generated follow-up questions and checks each upload against the document type requested. In the demo it flagged a T5 uploaded where a T4 was expected. It is not in client use. It has no authentication or OAuth and only light error handling, and Clare said he would unpublish it.
- AFI Balance: team access, the full rollout, an AI agent named Cafe to answer clients' payday super and payroll tax questions, and moving client messages and documents off email into the portal were next steps, not results.
- Track: expanding Filed to all returns was a plan at the time of the vendor case study.
What should a person still check?
Every case keeps a person in the loop. The first four checks come from the cases themselves. The rest are our suggestions, not something these firms reported.
- Check what the client said they'd send against what actually arrived, as Blueprint Accounting's team does.
- Secure a self-built tool before any client data goes in. Brian Clare says security has to come first, and his rebuild gives clients an override so a wrong AI document check never blocks them.
- Start small. AFI Balance's portal was live with a small group of core clients before her team or other clients.
- Keep client data out of ChatGPT unless your policy allows it, as Natasha Everard of Bewitching Bookkeeping does.
- Our suggestion: keep the AML risk decision with a qualified person.
- Our suggestion: have the preparer confirm a missing-document list before it goes out, since a missing form may simply not apply this year.
- Our suggestion: build with made-up test clients only, and have a second person try to break the tool before any real client sees it.
What does a first DIY setup look like?
These steps are our suggestions, built from the how-to steps on each case page. They are not a description of what any one firm did.
- Write your data model first: the questions you ask every tax client, which answer triggers which document (rental income means a rental statement, self-employment means a business statement), and what your staff need to see.
- For returning clients, list the forms that should recur from last year (W-2s, 1099s, 1098, K-1s, HSA, childcare). Use a client number instead of a name.
- Paste that into Claude to turn it into a form plan. Then build the form in a tool you already know, such as Airtable (Brian Clare's first version) or an AI app builder such as Lovable, with a separate client view and staff view.
- When documents come in, check them against the checklist and send one email listing everything still missing, instead of several. Have the preparer confirm the gap list before it goes out.
- List every onboarding step you do now, in order: engagement, ID and AML checks, software access (Xero or QuickBooks), bank feeds, payroll details, first documents. Mark which ones the client does and which your team does.
- Test with made-up clients and have a second person try to break it. Then add login and run the builder's security check.
- Run it with a handful of trusted clients first, as Katie Johnson did, and keep the AML risk decision with a qualified person. Only then give your team access and move other clients over.
The 5 firms and 3 vendor case studies, with who did it and where the story came from
Tax intake form that tells each client which documents to send: Blueprint Accounting (Ottawa, owner)
Brian Clare, founder of Blueprint Accounting in Ottawa (bookkeeping, payroll and corporate tax for Canadian owner-managed businesses; started in 2018), in a live session at The Firm's AI in Practice Summit
Tools: Claude, Airtable, Lovable · Job: Build a personal tax intake form that tells each client which documents to send, using Claude to plan it
What it does: Version one of the firm's personal tax intake form lives in Airtable, built in two evenings after working it out back and forth with Claude. It asks about eligibility, a spouse, income types, dependents, working from home, investments, rental properties, self-employment and deductions, and from the answers it tells the client what to send; the team then checks what the client said they'd send against what actually arrived. At the summit he rebuilt it in Lovable with eleven plain-English prompts, using Claude to plan the data model and draft every prompt. The rebuild pre-fills last year's answers, auto-saves, asks AI-generated follow-up questions by comparing this year's answers with last year's, and checks each upload against the document type requested, with an override button so a wrong AI check never blocks the client.
Reported: Version one took two evenings; the Lovable rebuild took about forty minutes and eleven prompts, and in the demo it flagged a T5 uploaded where a T4 was expected. He is clear that the rebuild isn't ready for clients: it has no authentication or OAuth and only light error handling, so he said he would unpublish it and that security has to come before any client data goes in. No tax-season time savings are given. Owner-told.
owner-told · The Firm, AI in Practice Summit: Watch It Get Built, A Client Onboarding Tool Created Live From Scratch (Brian Clare) (2026-06-02) · Full case with steps and a prompt
Onboarding and AML checks in a self-built client portal: AFI Balance (Townsville, Queensland, owner)
Katie Johnson, founder and CEO of AFI Balance, a bookkeeping, payroll and advisory firm in Townsville, Queensland (11 years in business), on a panel at The Firm's AI in Practice Summit
Tools: Perplexity, Perplexity Computer, GitHub · Job: Move new-client onboarding and AML checks into one self-built client portal instead of email
What it does: She built an onboarding and client app with Perplexity Computer, which she says uses Claude Sonnet in the background and is hosted on AWS in Australia, with GitHub alongside. After the first meeting, a client who wants to onboard gets an invite, signs through every step including the AML checks, and then gets access to the portal. For AML it runs the PEP and watchlist scans automatically and shows whether someone is high-risk, and it pulls data in from Xero. She has Perplexity Computer audit the site at 7am every morning to make sure the apps are working.
Reported: She says the first version of the app took about ten minutes to build. When she spoke, the portal was live with a small group of core clients and herself, not yet with her team. Her team's access, the full rollout, an AI agent named Cafe to answer clients' payday super and payroll tax questions, and moving client messages and documents off email into the portal were next steps, not results. No time figures are given. Owner-told.
owner-told · The Firm, AI in Practice Summit: Real Firms, Real Builds (panel with Katie Johnson of AFI Balance) (2026-06-02) · Full case with steps and a prompt
Prospect intake form built with Claude and Lovable: Agate CPA (Atlanta and Rogers, Ark., press)
Sarah Harris, CPA, cofounder of Agate CPA (Atlanta and Rogers, Ark.), as reported by the Journal of Accountancy
Tools: Claude, Lovable, ClickUp, ChatGPT · Job: Build your own prospect intake form with Claude and Lovable so sales calls convert better
What it does: Harris built a richer web form with Lovable and used Claude to embed it. The form asks industry, headcount, revenue band, startup vs established, prior CPA experience and why they want a new firm; responses flow into ClickUp.
Reported: Conversion rate rose about 25%. Cost described as minimal.
press · Journal of Accountancy: Real-life ways small firms use AI (2026-08-01) · Full case with steps and a prompt
Client FAQ chatbot and AI intake summaries before a fixed fee: Conscious Accounting (press)
Nicole Davis, owner of Conscious Accounting and Delite Payroll (28 people across both firms), in an AICPA & CIMA small-firm article
Tools: Client FAQ chatbot (platform not named) · Job: Build a client FAQ chatbot for a new tax law so clients get instant answers instead of emailing and calling the firm
What it does: Davis asked the firm's data and automation specialist to find smarter uses for AI. Over a few days the specialist built a chatbot that answers client questions about the One Big Beautiful Bill Act legislation, so clients get real-time answers to common questions without waiting for a return call or meeting. Separately, Davis used AI on structured intake forms for a large reconstruction of a client's historical accounting records: AI-generated summaries flagged friction points and work that might fall outside her scope assumptions before she set a fixed fee.
Reported: Per Davis, the chatbot immediately reduced inbound emails and phone calls about the new law, and her team had more time for higher-level work. No call or email counts are published, and the chatbot platform isn't named.
press · AICPA & CIMA: Beyond Email — Using AI and automation to enhance capacity (Nicole Davis / Conscious Accounting) (2026-02-11) · Full case with steps and a prompt
Prototype onboarding and tax organizer with Claude and Claude Code: High Rock Accounting (Scottsdale, Arizona, press)
Susan Wozena, CPA, head of tax at High Rock Accounting in Scottsdale, Arizona (eight people; client advisory, CFO and tax advisory services), in the Journal of Accountancy
Tools: Claude, Claude Code · Job: Prototype a new client onboarding and tax organizer with Claude and Claude Code in a few hours, with no tech background
What it does: In a few hours, Wozena, who has no tech background, created a working prototype of a new onboarding and tax organizer using Claude and Claude Code. The article doesn't describe what the organizer asks or how clients use it.
Reported: A working prototype in a few hours. The article doesn't say whether clients use it yet, so this is a prototype, not a measured result. CEO Liz Mason says anyone who has what it takes to be an accountant can create their own tech tools. Press report.
press · Journal of Accountancy: Real-life ways small firms use AI (2026-08-01) · Full case with steps and a prompt
Interactive organizers that collect and sort uploads: Foard and Company (Charlotte, vendor case study: Truss)
Foard and Company, a 35-person Charlotte CPA firm, told by its managing partner
Tools: Truss, Lacerte · Job: Replace PDF tax organizers with AI-assisted intake that sorts client documents
What it does: Truss sends each client an interactive organizer built from last year's, collects and organizes uploads automatically, tracks every return's status, and delivers drafts and e-signatures in batches.
Reported: 94% positive client rating from 1,329 respondents, 6,365 projects in year one, and fewer seasonal staff needed for paperwork.
vendor case study · Truss customer story · Full case with steps and a prompt
Missing-document flags against last year's return: Track (Minneapolis, vendor case study: Filed)
Conner Kelderman, CEO and founder of Track, a CPA-led tax and bookkeeping firm in Minneapolis (seven people, 850+ clients a year), in a Filed customer story
Tools: Filed, CCH · Job: Flag missing tax documents against last year's return before prep starts, with an AI document checklist
What it does: Filed's document ingestion looks at what clients sent and flags what's missing based on prior-year context: if someone claimed an HSA deduction last year but no Form 8889 arrived this year, it flags it. Filed also produces AI workpaper summaries that highlight potential issues and extract key values for reviewers, alongside the firm's existing CCH software. The firm started with document management and expanded from there.
Reported: Kelderman reports saving over an hour per return in manual prep work, catching missing items before the April deadline, and clients commenting that the process felt more organized. Expanding Filed to all returns was a plan at the time. Vendor customer story: the figures come from Filed, which sells the tool.
vendor case study · Filed customer story: How Track Reclaimed Tax Season with AI · Full case with steps and a prompt
Bookkeeping client onboarding on an AI-native ledger: Eiduk Tax & Wealth (vendor case study: Digits)
John Eiduk, CPA, CFP, founder of Eiduk Tax & Wealth (tax planning, advisory and bookkeeping for healthcare professionals; founded 2021; a solo practitioner with one offshore bookkeeping partner), in a Digits customer story published in CPA Practice Advisor
Tools: Digits · Job: Cut bookkeeping client onboarding from two to four hours to about one by moving to an AI-native ledger
What it does: He tested Digits, an AI-native accounting platform, on his own firm's books first (multiple bank accounts, Stripe, payroll accounts and transfers), then started moving clients. The system learns transaction patterns, so categorization, reconciliation and review happen in one workflow and his role shifted to reviewing exceptions; he lets auto-reconciliation run while he works on something else.
Reported: "QuickBooks onboarding used to take me two to four hours per client," he says. "Now it's closer to an hour, assuming the client is responsive." The story also says he lowered bookkeeping package pricing by more than one-third while keeping the work profitable. Vendor customer story: the figures come from Digits, which sells the platform.
vendor case study · CPA Practice Advisor (Digits customer story): How a Small CPA Firm Cut Client Onboarding Time in Half (2026-06-11) · Full case with steps and a prompt
These are each agency's own results with their own tools and teams, as reported by the source. None of them are promises.
What does it cost?
Prices below are from our tool database. Claude: $17/mo billed annually ($20 monthly), checked October 18, 2026. Perplexity: Pro $17/mo billed annually (promo shown on Pro page), checked October 18, 2026. ChatGPT: Free $0; Go $8/mo; Plus $20/mo; Pro $100/mo, checked October 17, 2026. Xero: $27/mo (intro discounts may apply), checked October 17, 2026. Agate CPA described its form's cost as minimal. The other firms didn't share what they spend.
Not price-checked here: Airtable, Lovable, ClickUp, Perplexity Computer (we haven't checked which Perplexity plan includes Computer), Truss, Filed, Digits, CCH and Karbon. For costs across other office automations, see AI automations for small business.
| Tool | Starting price we checked | Checked | Which firms here name it |
|---|---|---|---|
| Claude | $17/mo billed annually ($20 monthly) | 2026-10-18 | Blueprint Accounting, Agate CPA, High Rock Accounting |
| Perplexity | Pro $17/mo billed annually (promo shown on Pro page) (we haven't checked which plan includes Computer) | 2026-10-18 | AFI Balance (Perplexity Computer) |
| Xero | $27/mo (intro discounts may apply) | 2026-10-17 | AFI Balance (data source for the portal) |
| ChatGPT | Free $0; Go $8/mo; Plus $20/mo; Pro $100/mo | 2026-10-17 | Bewitching Bookkeeping (keeps client data out of it) |
| Airtable, Lovable, ClickUp | Not checked | Blueprint Accounting, Agate CPA | |
| Truss, Filed, Digits | Not checked | Vendor case studies: Foard and Company, Track, Eiduk Tax & Wealth |
How to start this week
- Write down the questions you ask every tax client and which answer triggers which document.
- Turn that into a form that tells each client what to send, using Claude to plan it.
- Check what arrived against the list and send one email listing everything still missing.
- List every onboarding step in order, including ID and AML checks, and mark who does each one.
- Test with made-up clients, add login and a security check, then run it with a few trusted clients before anyone else.
Frequently asked questions
How are small accounting firms using AI for client onboarding?
Mostly to build their own intake forms and client portals. Blueprint Accounting's form tells each client which documents to send. AFI Balance's portal walks new clients through every onboarding step, including AML checks.
Can AI write or send my engagement letter?
None of the accounting firms in our library uses AI to write or send its engagement letter. Bewitching Bookkeeping uses its engagement letter to tell clients about its AI use.
How do firms use AI to collect client documents?
They ask about the client's year, turn the answers into a document list, and check what arrived against it. In a vendor case study from Filed, Track flags forms that were on last year's return but haven't arrived.
How much time does AI save on onboarding?
None of the 5 owner or press firms gives an onboarding time saving. The figures come from vendor case studies. Track reports over an hour saved per return (Filed's figures). Eiduk Tax & Wealth reports onboarding closer to an hour instead of two to four hours (Digits' figures).
Is it safe to put client data into a self-built onboarding tool?
Not until it is secured. Blueprint Accounting's founder said security has to come before any client data goes in. He said he would unpublish his rebuild because it has no authentication. We'd also suggest keeping the AML risk decision with a qualified person.
How many real accounting firm examples are there?
Five owner or press cases in our library: Blueprint Accounting, AFI Balance, Agate CPA, Conscious Accounting and High Rock Accounting, whose tool is a prototype. Three more are vendor case studies from Truss, Filed and Digits.
Sources outside our case library
- The Firm, AI in Practice Summit: Watch It Get Built, A Client Onboarding Tool Created Live From Scratch (Brian Clare) (read 2026-06-02)
- The Firm, AI in Practice Summit: Real Firms, Real Builds (panel with Katie Johnson of AFI Balance) (read 2026-06-02)
- Journal of Accountancy: Real-life ways small firms use AI (read 2026-08-01)
- AICPA & CIMA: Beyond Email: Using AI and automation to enhance capacity (Nicole Davis / Conscious Accounting) (read 2026-02-11)
- AccountingWEB (read 2026-04-15)
- Truss customer story (vendor case study) (read undated)
- Filed customer story (vendor case study): How Track Reclaimed Tax Season with AI (read undated)
- CPA Practice Advisor (Digits customer story, vendor case study): How a Small CPA Firm Cut Client Onboarding Time in Half (read 2026-06-11)
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