Thomson Reuters Just Killed Tax Prep's Last Manual Step

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Thomson Reuters Automates the Last Tax Step

Summary: SafeSend now routes straight into Remitian's payment rails, letting firms and clients review, authorize, and pay a tax bill across federal and state portals without leaving the software. Why it matters: Every other step in tax prep got automated years ago — this is the first tool that removes the manual "log into six different government sites and pay" grind still eating an afternoon a week during crunch. Catch: Thomson Reuters is describing its own integration here, so treat "connected path" as a claim until you've watched it handle a multi-state client with mismatched deadlines. Unknowns: Pricing isn't public yet, and there's no independent account of how it handles a rejected or bounced payment — worth pressing on both before you put a client's money through it. My take: Worth a pilot on one low-risk client this fall before you trust it with anyone's Q4 estimated payments. This is the boring, unglamorous kind of AI tool that actually earns its subscription fee. [Read more →]

IRS Retires the Phone Call as Plan A — The IRS expanded its Business Tax Account platform on August 6, moving core account functions off hold-music and onto the portal, according to an analysis piece rather than an IRS announcement itself. Why it matters: Confirm the rollout against IRS.gov before you retrain staff to skip the phone, though if it holds up, routing clients to BTA now beats doing it mid-tax-season. [Read more →]

Bloomberg Tax Tackles Multi-State Spreadsheet Hell — Bloomberg Tax launched Controlled Calculations for Workpapers, which the company says helps corporate tax teams handle complex state-by-state math that's outgrown their spreadsheets. Why it matters: If you handle multi-state corporate clients, this is a concrete tool to trial against your messiest existing model, though it's built for corporate tax departments and won't touch a typical individual-return practice. [Read more →]

Only 1 in 3 Executives Trust Their Own AI — A survey of 100+ US and Canadian C-suite and tech executives found just a third say AI consistently delivers reliable outcomes, and only 1 in 6 trust it for critical work. Why it matters: Hand this stat to any client impressed by this issue's vendor AI announcements, though the survey covers enterprise tech broadly and says nothing specific about accounting tools. [Read more →]

Xero Wires Claude and ChatGPT Into Its Platform — Xero unveiled new AI features at Xerocon US, including Microsoft 365, Claude, and ChatGPT integrations for its JAX platform plus new US payments and Gusto-powered payroll, the company announced at its own conference. Why it matters: If your firm already runs client books on Xero, this saves the export-reupload cycle to pull live data into the AI tools your staff already use, though it does nothing for a QuickBooks-based practice. [Read more →]

AI spend is now a major P&L line item—but most teams can't show what it's producing.

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Before you let SafeSend's new payment feature touch a real client, run one test payment through with a dummy low-dollar amount and watch what happens if it fails — most firms find out a tool's error-handling is broken by accident, not by asking. [Read more →]

Bridgewater Proposes Taxing AI's Digital Labor: Bridgewater co-CIOs Greg Jensen and Nir Bar Dea published an NYT op-ed calling for a tax on companies' AI "token" usage, citing the firm's internal estimate that AI could displace 18% of US jobs within five years. It's a striking move for hedge funders, who rarely ask lawmakers for more oversight of anything, and the proposal treats AI compute the way payroll tax treats wages — a per-unit levy on machine labor instead of human labor. If any version of this moves from op-ed to bill, it creates a brand-new compliance category that didn't exist last year. Why it matters: Any client scaling AI spend fast should start tracking token/compute usage as a line item now, so they're not reconstructing a year of data if a token tax actually lands. [Read more →]

OpenAI-Funded Study on Taxing AI: OpenAI granted funding to the Tax Foundation to research how to tax AI adoption and its effect on labor, corporate, and capital gains income, the think tank says. Why it matters: Pair this with the Bridgewater op-ed above — funded research plus a hedge fund op-ed in the same month means this conversation has moved past hypothetical, even if OpenAI funding its own tax study is worth noting as a conflict of interest. [Read more →]

Aprio Launches an AI Venture Arm: Top-25 firm Aprio launched Aprio Ventures to invest directly in AI and tech companies, building on nearly 20 investments made since 2019, the firm announced. Why it matters: This is a scale-only move a three-person firm can't replicate, though it signals where the largest players think the next competitive edge comes from — owning AI vendors, not just buying their software. [Read more →]

Vague AI Disclosures Cost Public Companies Growth: A Carnegie Mellon and Larridin study found public companies with the most specific AI disclosures in their 10-Ks saw an 8-point revenue growth edge over vaguer disclosers, though AI adoption didn't reliably move margins or stock price. Why it matters: If you advise a public or pre-IPO client, push them toward naming specific AI use cases in filings rather than boilerplate language, since the study ties specificity, not adoption itself, to the growth advantage. [Read more →]

The theme this week isn't AI getting smarter — it's AI closing the last boring gaps in workflows nobody wanted to fix by hand. That's a smaller headline than "revolutionizing accounting," but it's the kind of change that actually shows up in your billable hours.

—Alex

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