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Research-backed thinking for firms improving capacity, review quality, professional judgment, and the responsible use of AI.
Latest articles
5 practical reads from the Fintant resource library.

GPT-6 Astra and AGI: What Do They Mean for Accountants?
What increasingly capable AI could mean for accounting work, pricing, professional judgment and careers, and how firms can prepare without confusing benchmark results with dependable client work.
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Define Review-Ready Before the First Transaction Is Touched: A 10-Part Reconciliation Acceptance Guide
A 10-part acceptance guide for defining source completeness, tie-outs, evidence, exceptions, reviewer handoff, and authority before reconciliation work begins.
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When Should Accountants Disclose AI Assistance?
A practical framework for deciding when AI assistance belongs in a workpaper note, engagement terms, or direct client disclosure while responsibility remains with the accounting firm.
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The Accounting AI Pilot That Saves Time Can Still Fail
A practical scorecard for measuring whether accounting AI creates accepted capacity after review, rework, exceptions, and implementation costs are counted.
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Your Accounting Firm's Capacity Is Hiding in the Work That Is Waiting
A practical way for accounting firms to see usable capacity by measuring work age, blocked jobs, reviewer queues, rework, cycle time, and throughput.
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