Where do your chargeable season hours actually go?
AI consulting for mid-market CPA firms delivered as a custom commissioned build: fixed-fee from $10,000, prototype on real operator data within 7 to 10 days at no added cost after the audit, production build 4 to 6 weeks, code owned by the operator at handoff. Commissioned systems in production today include a matter, invoice and trust platform running 13,296 matters for a law firm, and AI voice systems that have handled more than 6,000 live calls.
An 8-minute walkthrough of how we map a mid-market firm's tax season hour by hour, recorded by the principal, plus the self-audit template we run on every paid engagement. No generic whitepaper. No "leverage AI for your practice."
Two parts: watch the 8-min Loom (rendered full-screen, no lead forms interrupting), then download the PDF audit template to run on your own firm. Built for partners, not IT directors.
- A season-hour map, how a mid-market firm's chargeable hours break down across intake, workpapers (the working files behind a tax return or audit), review, PBC (the prepared-by-client document list) chasing
- Three automation candidates, ranked by dollar-per-week impact at mid-market firm scale
- Self-audit template, 2-page workbook you can fill in with your partner group in 45 minutes
- The May, August window math, why timing your AI commission matters more than the tech
One season. Every hour. Mapped.
The five rows below map where a tax season's hours actually go: intake and organizer chasing, workpaper preparation, the 1040 review cycle, provided-by-client document handling, and commission timing math, each one a candidate for the calculator above and for the questions a partner is quoted asking at the end.
Client intake / organizer chasing
The "organizer hell" window. How to cost it out, and which steps of it an AI pipeline can credibly take over.
Workpaper preparation
Bank recs, trial balance prep, preliminary adjustments. Senior accountants doing junior work because the junior staff is buried.
1040 + review cycle
The ratio of prep hours to review hours. Where AI-drafted first passes shift partner time to signal-detection instead of data entry.
PBC document handling
Email trails, version chaos, redundant requests. How to measure what the chase actually costs before anyone builds anything.
Commission timing math
Why you should never start a CPA-firm AI commission between Feb 1 and April 20. When to start instead.
Ranked by $-impact.
Applied to your firm.
See how these five map onto the broader AI for CPA firms picture.
What a commission looks like for CPA firms.
This section covers who actually commissions a build in this band, where the dollars and hours leak inside a typical practice, how a build compares with the alternatives on cost, the misconceptions buyers walk in with, compliance notes for the vertical, and what the engagement looks like week by week.
The buyer profile, in one paragraph.
Mid-market cpa firms in the 30 to 150 professionals band sit in the buying gap that defeats both off-the-shelf SaaS (software delivered over the internet on a subscription) and Big Four consulting. The managing partner, coo, or firm administrator has the budget to commission a custom system but not the in-house engineering bench to build one. The seat count is wrong for per-seat SaaS economics. The workflow is custom enough that horizontal AI products lose a large share of their value to misfit. This is the band ColabContent commissions builds in: fixed fee, working prototype on the operator's real data inside seven to ten days, code owned by the operator at handoff.
Where the dollars and hours leak.
For CPA firms the leakage concentrates in PBC reconciliation, tax workflow routing, client-data ingestion, trial-balance reconciliation, 1040 review, season-staffing forecasting. The pain points worth quantifying on an audit call are partner-to-PBC ratio constraint, season-driven workflow chaos, client-document chase, CCH Axcess data plumbing. None of these are abstract. Each one shows up as a measurable number on the operator's monthly P&L or capacity plan once we look for it.
ColabContent has not shipped a commission inside a CPA firm yet, so there is no tax-season number to quote on this page. Inventing one would be worse than saying that plainly. The nearest adjacent work is professional services on the legal side: a law firm whose matter, invoice and IOLTA trust accounting runs on a platform we commissioned, carrying 13,296 matters, 4,396 clients and 5,684 invoices, with trust reconciled byte-identical against the prior system at cutover. Across all commissioned voice systems, more than 6,000 live calls have been handled in production, including five channel-specific agents for Jim Glaser Law that gave the firm per-channel attribution on every answered call.
What carries over to a CPA firm is the method, not the number. We instrument the workflow before we build, agree in writing on the measurement and the baseline during the audit call, and then read the result out of the operator's own system after handoff. A first CPA commission gets scoped and measured the same way, and priced knowing it is the first in this vertical.
The stack the build sits inside.
CPA firms typically run on some combination of CCH Axcess, UltraTax CS, ProSystem fx, Lacerte, Drake. The commissioned system is built to integrate with the operator's actual stack, not to replace it. ColabContent does not sell a platform; we commission a custom layer that sits on, beside, or inside the existing systems and addresses the specific constraint the audit identified.
Integration depth varies by engagement. A read-only data layer that pulls structured records out of the existing system and writes nowhere is the lightest touch and the fastest to ship. A bidirectional integration that drafts records back into the system after human approval is the most common request. A fully autonomous workflow that closes the loop end-to-end without human-in-the-loop review is the heaviest touch and is reserved for tasks where the failure cost is bounded and the audit trail is structured.
How a commission compares to the alternatives.
The CPA firms market has four real alternatives to a custom commission. Each has a buying pattern that fits a particular operator profile.
Off-the-shelf AI products (Karbon, BlackOre, DataSnipper, AuditDashboard, Grove and Numeric are the recognizable names in this category). Strong fit for operators whose workflow matches the product's calibration target, which is the larger end of the category. Per-seat or per-user pricing scales aggressively. The operator does not own the code or models. Strong on horizontal features (drafting, review, lookup); weak on operator-specific workflow.
Internal AI hires. Right answer for operators with roughly $5 million or more of AI investment runway (our own cutoff for this comparison) and a willingness to spend twelve months building infrastructure before shipping the first production workflow. The internal hire owns adoption, governance, and the next twelve months of evolution. A commission and an internal hire are not substitutes; the commission ships the first system, on schedule, while the internal hire builds the second.
Big Four consulting engagements. Right answer for enterprises above roughly $500 million in revenue (our own cutoff for this comparison) with stakeholder counts that justify a six or seven-figure strategy engagement and a separate build engagement on top of it. Wrong economic structure for the mid-market band.
Boutique commissioning houses (we are one). Right answer for the established mid-market operator with a known constraint, a senior owner-operator decision-maker, and a posture of running the system inside the operator's own cloud tenant (a private cloud account) under NDA (a signed non-disclosure agreement). Fixed-fee, prototype before payment, owned code at handoff.
Common misconceptions buyers walk in with.
AI replaces staff accountants. This is the most common misread. The commissions we take are scoped to reclaim senior capacity, and the operators who commission them are generally trying to grow into that recaptured capacity rather than cut headcount. The leverage is in the cost of the next dollar of revenue, not in the payroll line.
DataSnipper or Karbon AI covers the same ground. The off-the-shelf products are excellent at one specific slice. The operator-specific workflow that bridges that slice to the rest of the operation is what the commission addresses. The right comparison is not "product versus product"; it is "product as one layer in a larger custom system."
Big Four tools port down to mid-market. The largest operators in the category run on stacks, workflows, and budgets that do not port down. Their case studies are interesting; they are not predictive of a mid-market outcome. The right reference engagements are operators in the established mid-market band, in the same vertical, with the same stack family.
Client confidentiality rules AI out of a tax practice. Risk and confidentiality are addressed by where the system runs, what data crosses the boundary, and what model selection is allowed. The build runs inside the operator's own cloud tenant under NDA. Client data does not leave that environment. Model selection (open-weight, closed-weight, mix) is part of the diagnosis and constrained by the operator's confidentiality posture.
Regulatory and compliance notes for this vertical.
The commission accounts for the regulatory environment of CPA firms from the audit onward. AICPA professional conduct standards; PCAOB audit standards for attestation work; state board CPE rules on AI training. We do not commission systems that put the operator on the wrong side of a regulator or a state board. Where the right move is no AI, we say so and the engagement does not proceed.
What the engagement looks like, week by week.
Week 0. The $499 AI-Ready Audit. Both sides leave with the constraint written down in a sentence. Either party can stop here at no cost.
Week 1. NDA signed, representative data slice provided. Prototype begins on the operator's real data, not synthetic. The principal is hands-on.
Day 7-10. Working prototype ships. The operator sees the system actually perform the constraint task on real data before any payment changes hands. If the prototype does not perform to the target written down after the audit, the operator owes nothing and keeps the work product.
Weeks 2 through 6. Production build runs. Standard cycle 4 to 6 weeks. The principal continues to lead. There are no account managers, no junior staff running the build, no offshore hand-offs.
Handoff week. Code, prompts, models, datasets, runbook (the written operating instructions), and integration documentation transfer to the operator. The system is owned by the operator at handoff. Optional care after handoff is $997 a month and cancels on 30 days notice.
Pricing for this vertical.
Fixed-fee commissions in the from $10K commission band, scoped against the constraint identified in the audit call and the integration depth required. There is no per-seat pricing, no proprietary runtime to license, no annual renewal. The fee is paid in two installments: one at production-build start (after the prototype works), one at handoff.
Operators considering the work typically compare it against the all-in cost of one of the four alternatives above. The math that wins is not "lower than" but "owned at the end." A SaaS subscription compounds. A custom commission is paid once.
Further reading inside the site.
- Best AI consultants for CPA firms
- ColabContent vs Karbon AI
- Accelamos vs Karbon comparison
- Karbon alternatives for mid-market CPA firms
- CCH Axcess AI workflow playbook
- UltraTax AI integration playbook
- ProSystem fx AI workflow playbook
- Lacerte AI integration playbook
- Season-teardown diagnostic for CPA firms
- AI for CPA firms hub
The questions buyers ask after the first one.
These are the questions that come up once the first one, whether to build at all, has been answered. Each answer below is the one we give on the call that ends the $499 AI-Ready Audit, written down here so it can be checked against your own report before anything is commissioned.
What does an AI commission cost for a CPA firm?
From $10,000, one fixed fee quoted after the $499 AI-Ready Audit and scoped against the constraint and integration depth, paid in two installments: one at production-build start, one at handoff.
What if the commissioned system does not work for our firm?
The prototype ships on your own data within seven to ten days before any build fee is due. If it does not perform to the target written down after the audit, the operator owes nothing and keeps the work product.
What is expected of our firm during the engagement?
A representative slice of real data after the NDA is signed, a senior operator who can commit to the 20-minute call that ends the audit, and the partner-group buy-in the audit call surfaces.
Does a commissioned build replace staff accountants?
No. The commissions we take are scoped to reclaim senior capacity, and most operators grow into that recaptured capacity rather than cut headcount.
Six yes answers means the $499 AI-Ready Audit is worth ordering. Three or fewer yes answers means the right next step is probably one of the alternatives. Four or five yes answers means the call surfaces whether the missing one is addressable.
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