Loading…
Loading…
AI finance agents reduce manual entry by 70% and speed reconciliation 3x (G2, vendor studies). Accountants review and approve; AI handles the volume.
Categorize transactions automatically
Apply the correct GL account, department, and class to thousands of transactions using learned patterns from your history.
Reconcile bank and credit card statements
Match transactions, flag discrepancies, and prepare adjusting journal entries for human review.
Process invoices end-to-end
Extract header and line-item data from PDFs, match to POs, route for approval, and post to the GL.
Prepare month-end close tasks
Generate the close checklist, gather supporting documents, draft accruals, and flag unusual variances for review.
Answer routine client questions
Respond to 'where does this expense go?' and 'when is my tax filing due?' via chat, grounded in your firm's policies.
До ИИ-агентов
Close takes 8–10 business days with late nights spent matching Stripe payouts to invoices and chasing receipts.
С ИИ-агентами
Close completes in 3–4 days; your time shifts from data entry to variance analysis and actual advisory conversations.
Integrate with your accounting system
QuickBooks Online, NetSuite, Xero, and Sage Intacct all have API-based integrations. Start with read-only access to validate accuracy.
Train on 3–6 months of history
Let the agent learn from your past categorizations before letting it auto-post. Expect 85–95% accuracy out of the gate.
Set confidence thresholds
High-confidence transactions post automatically; low-confidence ones go to a review queue. Tune over time.
Well-trained tools reach 85%+ accuracy. Set confidence thresholds and require human review for low-confidence or high-value items. The AI learns from your corrections.
No. AI handles high-volume categorization and matching. Accountants and controllers review, approve, and own the books. Human oversight remains central.
Все ниши ИИ-агентов или посмотрите агентов по ролям.