Deep Agentic AI · Accounting & Audit
GraQle for Finance
For the teams under the CFO who close the books. Copilots, RAG and RPA don't solve the hard part — explaining why in a way management and auditors accept. This series walks the real cases: variance you can sign your name under, intercompany that finally ties, mystery balances caught before close, IFRS vs local GAAP, revenue recognition, SOX evidence that accretes as you work, fraud patterns hiding in relationships, and policy-change impact you can map before you commit.
The use cases

Every month you produce Actual vs Budget vs Prior. The mechanics are easy. The hard part is explaining WHY in a way management and auditors accept. Instead of chasing people and Excel dumps for days, agentic AI treats one variance as a knot in a network of causes — vendors, POs, campaigns, FX rates, budget assumptions, documented events. It activates only the relevant part and answers: how much is FX, how much is volume, how much is a mid-quarter campaign that wasn't budgeted — each number pointing to the exact invoice and approval. So you stop writing 'higher activity' and start saying: two-thirds is intentional investment approved on date X, one-fifth is FX, the rest is timing. Here are the items. GraQle for Finance — Episode 1.








GraQle turns your financial systems, ledgers, policies and decisions into a reasoning knowledge graph — so an agent can activate only the relevant part, answer with evidence, and leave a traceable, tamper-evident record an auditor can follow. Your policies and your judgement stay yours; the repetitive lookup work goes to the architecture.