At a glance
- A PE deal tracker counts 473 accounting firms acquired since 2016; in our view, AI today gets added practice by practice, not sequenced across the platform.
- The distinct output below is a workflow inventory template and a scoring sheet: priority from variance x volume, with readiness setting the path.
- Automating a workflow that still differs firm to firm locks in the inconsistency instead of removing it; standardizing comes first.
- Measuring AI's effect means baselining each acquired firm separately, not reading one platform-wide average.
- A first scoped workflow follows five steps: inventory, score, standardize, pilot centralize, then automate and measure.
How are PE-backed accounting firms using AI?
In our view, AI today gets added practice by practice — inside whatever tax or document system each firm already used — not rolled out platform-wide. Footnote's July 2026 analysis of AI-focused accounting roll-ups puts the underlying acquisition thesis bluntly: "Thrive and Current are not only buying cash flows. They are buying firms in order to take the labor out of them with software and keep the difference"[1].
The roll-up has moved fast. Going back to 2016, CPA Trendlines' running deal tracker counted "525 events, including 473 acquired firms, across about 72 platforms and 69 capital sources," representing "$49 billion in transacted enterprise value" and "close to 96,000 working accountants and staff"[2]. By early 2026, "roughly half of the 30 largest US accounting firms carried some form of private-equity money or an alternative practice structure," an APS[1].
Three buyer groups are doing this. One 2026 buyer analysis names "private equity, which has taken stakes in 11 of the 30 largest US firms and invested more than $50 billion in CPA firms over the past six years (KPMG Corporate Finance); venture-backed AI-native roll-ups such as Current, Multiplier, and Modus; and the traditional market of individual CPA buyers, where most firms under $2 million in revenue still sell"[3].
- Jupid names Current, Multiplier, and Modus "venture-backed AI-native roll-ups."[3] Footnote says Thrive and Current buy firms "to take the labor out of them with software and keep the difference."[1] In our view, traditional PE platforms sequence differently: buy first, standardize back-office systems, over the hold period.
- In our view, public commentary on this wave skips the platform-level question: several acquired practices, each running a different version of the same workflow.
The standardize-then-automate sequencing table
A roll-up's structure shapes the problem. Each add-on brings its own chart of accounts, Client Accounting Services (CAS) close, and notice-handling habit. The two tables below are a method for post-acquisition workflow standardization — deciding what to standardize and automate first, and in what order — not a finished analysis of any real roll-up.
| Workflow | How each acquired firm runs it today | Process owner today | Volume per period | Variance notes |
|---|---|---|---|---|
| Bank & card reconciliation for the CAS close | One ledger, manual match / different ledger, PM-tool workflow / third ledger, spreadsheet match | Bookkeeper/controller per firm; no platform owner | High | Three systems, three matching methods |
| Tax source-document intake | Tax-software portal / different tax-software portal / email plus shared drive | Whoever preps the return; no single owner | High | No consistent intake channel |
| Notice & correspondence triage | Shared inbox, sorted manually / assigned in a PM tool / assigned by partner memory, no tool | Ad hoc per firm — inbox, tool, or memory | Medium | No consistent ownership rule |
| Engagement letters & WIP/AR follow-up | Templated, tracked in a PM tool / ad hoc, tracked in a spreadsheet / templated, not tracked | Each firm's admin or partner; follows the engagement | Low | Inconsistent tracking, not just tooling |
Once filled in, score each row 1 (low) to 3 (high) on three factors: how much the practices' processes differ (variance), how much volume runs through it platform-wide (volume — High/Medium/Low above maps to 3/2/1). And how close it already is to one clean, integrable system of record (readiness).
Multiply variance by volume for a priority score, ranking the workflows that still need standardizing. Centralize and automate now only when variance is 1 and readiness is 3 — the practices already run it the same way, on one system. Otherwise, standardize first, then centralize and automate, in priority order.
| Workflow | Variance | Volume | Readiness | Priority (variance × volume) & path |
|---|---|---|---|---|
| Bank & card reconciliation for the CAS close | 3 | 3 | 2 | 9 — standardize first (top priority) |
| Tax source-document intake | 2 | 3 | 2 | 6 — standardize first (tied, 2nd priority) |
| Notice & correspondence triage | 3 | 2 | 2 | 6 — standardize first (tied, 2nd priority) |
| Engagement letters & WIP/AR follow-up | 2 | 1 | 2 | 2 — standardize first (lowest priority) |
In this illustrative example, none scores variance 1 and readiness 3, so none centralizes now; all four standardize first — reconciliation, then tax intake and triage (tied), then engagement letters.
Should a roll-up standardize systems before automating?
Yes, and the roll-up's own economics say so before any technology argument does. Cherry Bekaert's February 2026 outlook describes accounting-sector PE sponsors as having "doubled down on consolidation of a highly fragmented industry with predictable demand and strong recurring revenues"[4]. Consolidation only pays off if the practices end up comparable enough to run as one operation. Automating each one's version first works against that.
We recommend treating "we bought it" and "we can build on it" as separate milestones, with standardization between them. A system built against one firm's chart of accounts either breaks on the next firm, or gets rebuilt for each one — the opposite of the scale a platform company is paying for.
Which workflows should be centralized first after an acquisition?
Centralize into a shared services function: a platform-level team that runs a workflow once for every acquired practice, instead of each practice running its own version. We'd inventory these four workflows first — reconciliation for the CAS close, tax source-document intake, notice and correspondence triage, and engagement-letter or WIP/AR follow-up — for their high volume and firm-to-firm variation.
Our accounting firms industry page covers what an AI agent changes inside each of those workflows at a single practice. This page is about sequencing them across several.
- Tax platforms differ by firm. CCH Axcess offers its own developer path, an "Open Integration Platform."[5] UltraTax CS documents integrations that "help transfer and share information by integrating UltraTax and other CS Professional Suite, CoCounsel Tax, SafeSend products, as well as Checkpoint, Onvio Firm Management, and SurePrep."[6] Two acquired firms on different platforms need two different integration paths for the same workflow.
- Practice-management tools differ too. Karbon describes itself as "Practice Management Software for Accounting Firms."[7] A firm running it tracks work differently than one running a spreadsheet, changing where a notice-triage or WIP workflow plugs in.
Use the scoring sheet above to set the order, not instinct or whichever firm is loudest. A workflow that's both high-volume and inconsistent across firms is the one where standardizing first protects the platform from building the wrong version twice.
How do you measure AI efficiency gains across acquired firms?
Baseline each acquired practice separately, before anything changes, not a platform-wide average. A blended metric hides whichever firm actually improved.
| Metric | How to baseline it per firm | Watch out for |
|---|---|---|
| Time per unit of work (per return, per close, per notice) | Measure each firm's own process, before standardization, over more than one cycle | One busy or quiet period standing in for the norm |
| Review and rework time | Track hours reviewers spend correcting AI output, not netted against time saved | Time saved counted, review time not |
| Firms on the standardized workflow vs. not yet migrated | Compare firms on the centralized version against firms still on their original process | Crediting gains a firm would have made anyway |
| Volume flowing through the centralized workflow | Track the share of eligible work, across all firms, running through the new system | Looks good only because the easiest firm adopted first |
Our guide to calculating AI ROI before you build covers the baseline-and-attribution method in more depth. The addition here: repeat that measurement per acquired firm, so no platform-wide number hides one firm's result inside another's.
Where to start: a first scoped workflow
Don't start with the workflow that's easiest to demo. Start with the one the scoring sheet ranks highest — costing the platform the most in duplicated effort, and most likely to break if automated per firm instead of once.
- Inventory
Fill in the workflow inventory template above for every acquired practice: which system, which process, who owns it.
- Score
Score each workflow for variance, volume, and readiness, and rank the results.
- Standardize
Pick the top-ranked workflow and agree on one version of the process before any build starts.
- Pilot centralize
Run the standardized process for a small group of practices through a shared services team, still manually, to confirm it works everywhere.
- Automate and measure
Only then build the system, and measure it against the per-firm baseline above.
Once a workflow is centralized, someone still has to own it. We recommend splitting ownership three ways.
| Owner | What they own |
|---|---|
| Platform ops team (shared services) | The runbook, the evaluation set, and the decision to change either |
| Each acquired firm | Its preparers and reviewers approving AI output before it reaches that firm's clients |
| The vendor or builder | The underlying system and its updates — not the runbook or the decision to change it |
A 360° AI Blueprint ranks AI and automation candidates by ROI, cost, and time-to-value across an entire platform's workflows, not just one acquired firm's, before anything gets built.
When this playbook doesn't fit
This sequence assumes more than one acquired practice with a real difference in how it runs the same workflow. It doesn't apply to a single-location firm with no roll-up plans, or to a platform where every firm already runs the same tax and practice-management stack. There, variance scores 1 and readiness scores 3 across the board, and the scoring sheet correctly sends every workflow straight to centralizing and automating, skipping standardization.
- The workflow is low-volume enough that coordinating a platform-wide standard costs more than automating it would save.
- A deterministic tool the platform already owns handles the workflow consistently; the gap is adoption, not technology.
Frequently asked questions
How are PE-backed accounting firms using AI?
In our view, AI gets added practice by practice today, inside whatever tax or document system each firm already used, not sequenced across the platform. A PE deal tracker counts 473 firms acquired since 2016. Footnote's 2026 analysis describes AI-focused roll-ups like Thrive and Current as buying firms to take the labor out with software.
Should a roll-up standardize systems before automating?
Yes. Consolidation strategy assumes acquired practices become comparable enough to run as one operation, and automating each firm's own version of a workflow first works against that. Standardizing the process before building anything keeps the platform from rebuilding the same system for every firm.
Which workflows should be centralized first after an acquisition?
Score each workflow for variance, volume, and automation readiness. Standardize the highest-priority one first. Centralize and automate only workflows already on one system with little variation between firms. We'd inventory reconciliation, tax intake, notice triage, and engagement-letter or WIP follow-up first, for their volume and variation.
How do you measure AI efficiency gains across acquired firms?
Baseline each firm's process before anything changes, then compare firms running the standardized workflow against firms still on their original process. Track review and rework time, and measure the share of eligible work flowing through the centralized system, not a platform-wide average.
Who owns AI systems at the platform level?
A named platform operations team — not any single acquired practice, not the vendor — should own a centralized AI workflow: its runbooks, evaluation set, and the decision to change it. Each acquired firm keeps its own preparers and reviewers approving output that reaches its own clients.
How do AI-native roll-ups differ from traditional PE platforms?
Jupid names Current, Multiplier, and Modus "venture-backed AI-native roll-ups". Footnote says Thrive and Current buy firms "to take the labor out of them with software and keep the difference". In our view, traditional PE platforms sequence differently: buy first, standardize back-office systems over the hold period, then automate.
Related reading
- The 360° AI Blueprint ranks AI and automation candidates by ROI, cost, and time-to-value across every acquired practice, before anything is built.
- If you haven't run one yet, what a 360° AI Blueprint is explains how the diagnostic works.
- Before committing budget to a first workflow, see how to calculate AI ROI before you build.
- For what an AI agent changes inside a single practice's tax intake, CAS close, and notice workflows, see our accounting firms industry page.
Sources
- Footnote, “Private Equity Bet Accounting Was a Fortress. AI Is Lowering the Walls.” (2026) (accessed 2026-09-30)
- CPA Trendlines, “CPA PE Deal Tracker™: 10 Years. 500-Plus Deals. $49 Billion” (2026) (accessed 2026-09-30)
- Jupid, “Who Is Buying Accounting Firms in 2026” (accessed 2026-09-30)
- Cherry Bekaert, Private Equity Report: 2025 Trends and 2026 Outlook (accessed 2026-09-30)
- Wolters Kluwer, CCH Axcess Developer Portal (accessed 2026-09-30)
- Thomson Reuters, UltraTax CS features (accessed 2026-09-30)
- Karbon, Practice Management Software for Accounting Firms (accessed 2026-09-30)
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