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🔧 FEATURED TOOL: Digits
Digits Cuts Solo Firm's Close to 5 Days
Summary: Digits is an AI-native accounting platform that reconciles books and closes the month automatically instead of requiring manual line-by-line review. Why it matters: Solo practitioner Oskar Escobedo, EA, used Digits to cut his firm's average close from 18 days to 5 and reclaimed close to 90 hours a month — time he shifted into advisory work without hiring. Catch: Escobedo says he migrated 27 clients in about 40 hours, but that number comes from Digits' own reporting on his firm, not an independent audit — budget more time if your client mix is less standardized than his.
Unknowns: Pricing isn't in the source material — worth pressing on a call before you commit a real client list to migration. My take: This is a small-firm play, not a curiosity — if you're a solo or 2-3 person shop still closing manually, pilot it with your five easiest clients before touching your full book. It also signals where the category is heading: CLA is now building its own version of this same idea at top-15-firm scale (more on that below). [Read more →]
📰 QUICK HITS
Billtrust Links AR Data Directly to Claude — Billtrust launched an MCP server connecting live invoice-to-cash data directly to Claude and Microsoft Copilot, and the company says it's the first AR platform to do so. Why it matters: If your firm or clients already run Billtrust, this turns AR lookups into a plain-language chat, though the "first" claim is Billtrust's own and there's no benefit if you're not already on the platform. [Read more →]
Most AI Projects Are Blowing Their Budgets — A WitnessAI survey of 300 US executives found 68% of AI initiatives ran over budget in the past year, and only 9% saw meaningful returns on more than three-quarters of their projects. Why it matters: Build a hard ROI checkpoint into any AI pitch to a client or partner rather than taking a vendor's payback promise at face value. [Read more →]
92% of CFOs Feel AI ROI Pressure — An Avalara survey of 1,505 CFOs found 92% feel pressure to prove AI investment pays off, while only 7% say their organization prioritizes governance over speed of adoption. Why it matters: Push for a lightweight governance check before any client rollout, since most finance leaders admit they're skipping it to chase fast results. [Read more →]
Blue J Gives Tax Professors Free AI Access — Blue J and CPA.com launched a program giving full-time accounting faculty at accredited US, Canadian, and UK schools free access to Blue J's AI tax-research platform. Why it matters: If you teach or guest-lecture, this gets students using AI-assisted tax research before they land at your firm expecting you to train them from zero, though it doesn't extend to practitioners wanting hands-on access themselves. [Read more →]
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💡 QUICK TIP
Before you migrate a client's books to a new AI-native platform like Digits, pilot with five clients and run one parallel close to confirm the reconciliation ties out before touching your full book. This is Escobedo's advice, not a guarantee — his own 27-client, 40-hour migration is self-reported by Digits about its own customer, not independently verified. It's also unclear from the source whether he sequenced clients by complexity. [Read more →]
⚠️ HEADS UP
IRS: AI-generated comments are flooding the IRS and Treasury's public rulemaking process, a GAO report found, making it hard to tell genuine, distinct input from slightly-varied duplicates. This cuts two ways for practice: rulemaking timelines could slow as agencies build new filtering processes, and firms that rely on comment periods to shape guidance may find their input drowned out by the noise. Expect the IRS to introduce identity verification or rate limits on comment submissions within the next 6-12 months — that's the clearest sign this is actually reshaping how tax policy gets made, not just a compliance footnote. Why it matters: If your firm submits comments during a public comment period, submit early and keep the language specific and personalized — generic or templated comments are the ones most likely to get filtered out once new verification rules land. [Read more →]
KPMG: KPMG says it's running a "client-zero" AI deployment inside OpenAI's own environment as part of a new alliance to build AI-native "headless" enterprise systems, with plans to bring the same forward-deployed-engineer model to clients. Why it matters: Watch whether this becomes the template other large firms copy. It signals a shift from firms buying AI tools toward firms embedding engineers directly inside client operations — assuming KPMG's internal results hold up, which aren't independently verified yet. [Read more →]
CLA: CLA, a top-15 US firm, is partnering with Digits — the same platform behind this issue's Featured Tool — to build a proprietary AI model trained exclusively on its own client data, rolling out first within its CAAS (Client Accounting and Advisory Services) practice, the largest such practice in the industry at roughly 15% of CLA's $2B+ revenue, over a three-year plan. Why it matters: A top-15 firm choosing to build rather than buy puts pressure on mid-size firms to settle their own build-vs-buy AI question within the next year or two, though CLA hasn't published any results yet showing the approach outperforms off-the-shelf tools. [Read more →]
The theme this week isn't AI replacing accountants — it's firms deciding whether to buy AI off the shelf or build their own, and the ones building are betting big. Watch which model wins by tax season. —Alex
Better cap table management starts here
Cap table management doesn’t have to be frustrating. From issuing grants to 409A valuations or ASC 718 reporting Pulley can make it simple.
Just ask Linear. They knew they needed a partner who could handle the complexity of their equity management. That’s why they migrated to Pulley.
📬 Know an accountant drowning in manual bookkeeping? Forward this.