Accrual has entered into an agreement to acquire Puzzle's accounting-firm technology and business, including its AI-native ledger and month-end close products. Puzzle founder and CEO Sasha Orloff and members of his team will join Accrual. The acquisition expands Accrual beyond tax preparation into client accounting services, advancing its ambition to provide firms with one platform across tax, audit, client accounting, and advisory work. Accrual launched in February 2026 with $75 million in funding led by General Catalyst. Puzzle, which serves more than 7,000 startups, small businesses, and accounting firms, will continue to operate independently for its direct customers. Accrual is built for accounting firms, whilst Puzzle will continue supporting its established business base. The transaction is expected to close in the coming weeks. Accrual's client accounting services offering is already in early access with accounting firms.

Tech News: Puzzle announces AI Suite for month-end close. Published July 10, 2026 11:13 AM Updated July 10, 2026 3:36 PM Plus, MyCPE One announces CPE Wallet for automating CPE management; Sam's List rolls out Concierge Launch; and other accounting tech news and updates. Puzzle announces AI Suite for month-end close. Accounting and bookkeeping platform launched its Puzzle AI Suite, which brings three tools together into the general ledger: Chat, for ad-hoc accounting work handled inside the ledger; Cowork (coming soon), where agents can automate any accounting task; and Close, the accounting close layer, generally available today, where accountants describe their process in plain English and agents draft the work for accountant approval, with a full audit trail behind every entry. Close can reconcile bank accounts across clients from bank feeds, PDFs or uploads. It can categorize complicated rules unique to each client; draft revenue recognition, payroll, depreciation and amortization schedules; find transactions that match fixed-asset policies and placing them in service; review journal entries for anomalies and write plain-language variance explanations; and prep client calls with a health summary, talking points and issues worth flagging. Users can run a final review of the month-end close for accuracy, as the AI can scan every record across the platform, surface discrepancies in a review panel with each anomaly, affected account and source transaction flagged; and suggest what actions are needed and continue to complete them according to the user's commands.