Private equity’s rush into law and accounting is running into a new question: What happens to a roll-up strategy built on professional labor when artificial intelligence starts doing more of the work?
When Jeff Seibert, CEO and founder of Digits, was at Twitter, he was astonished by the difference in data quality and timeliness between the product engineering and the finance sides of the business.
On the product engineering side, testing tools, dashboards, and analytic tools provided real-time data on “exactly what your users are clicking on, what your servers are doing every second.” At the same time, “I was waiting two to three weeks for our accountant to give me a black and white P&L,” he recalls, even with “100 people in corporate finance.”
Build advisory capacity without waiting for outside capital.
By Hitendra Patil
The technology gap between private equity-backed and independent firms is real, and it is also smaller than it appears from the outside.
Here is something I have consistently observed: PE-backed firms invest heavily in technology during their first 18 to 24 months post-acquisition because they have to. They are merging systems from multiple firms, migrating client data and standardizing workflows across a larger organization. That investment is substantial, but a meaningful portion of it solves problems that independent firms do not have, because they were never acquired in the first place.
The independent firm’s technology challenge is different: deliberate modernization at a pace that does not disrupt client service. That is a more tractable problem than integration at scale, and the firms that treat it as a sequenced project tend to close the gap faster than they expected. READ MORE →
Venture capital crashes the private equity party in accounting.
Consolidation constellation: Sponsors in blue, platforms in red, targets in gold.
By CPA Trendlines Research
The CPA Trendlines CPA PE Deal Tracker™ shows the steep rise in deal flow, hitting more than 450.
Private equity’s push into accounting is entering a new and more complicated phase: platform building, sponsor recycling, technology investments, blended tax and wealth services — and now, a new pipeline of cash from venture capital.
This month’s CPA Trendlines CPA-PE Deal Tracker™ shows nine new deals in April, down from the first-quarter deal-closing frenzy but bringing the year-to-date deal count through April 30 to 78, well ahead of the 44 logged in the same window of 2025.
The broader verified dataset now includes 452 in-scope events, giving CPA Trendlines a clearer view of what private capital is doing after its first wave of accounting-firm investments.
The latest data does not show a retreat. It shows a transformation. The new gambits go well beyond roll-ups, and include service line extensions, corporate carve-outs, cross-industry tie-ups, recapitalizations, continuations and a buzzy new venture-backed startup.
World domination
The deal models are sprawling in all directions as big money battles for a dwindling number of prime firms and squeezes for synergies in the firms they’ve acquired.
In the mix, accounting is morphing from a profession into a platform. A launchpad from which to sell a growing, and traditionally conflict-laden, range of products and services. From tax planning to wealth management, from outsourced accounting systems to internal audit, and from risk management to insurance sales.
A once incongruous, even contradictory, collection of services are being acquired, aligned and advanced. The ambition is market encirclement. The impulse is world domination.
Artificial intelligence is moving fast—fast enough that even the people experimenting with it daily admit they’re still figuring it out in real time. On the latest episode of Accounting ARC, Byron Patrick, CPA.CITP, and Liz Mason, CPA, take listeners inside that reality: a profession eager to unlock AI-driven efficiency, but still learning how to manage the risks that come with it.
The conversation centers on a deceptively simple idea—just because AI can do something doesn’t mean it should. And in accounting, the consequences of getting that wrong can be immediate.
The discussion begins with a practical example: integrating AI tools like Claude into everyday workflows, particularly in systems such as QuickBooks or Excel.
What makes these tools powerful is also what makes them risky.
