Tracing takes days
Confirming a figure means toggling between GL, source systems, and documents and rebuilding the trail by hand.
Governed agentic analytics built for audit. Autonomous agents answer plain-English questions across your financial systems and documents, then return every answer with complete, automatic lineage back to the source.
Audit teams sit on top of ERP, core banking, warehouses, and document repositories that each tell part of the story, under SOX, PCAOB, BCBS 239, and SR 11-7 scrutiny.
Confirming a figure means toggling between GL, source systems, and documents and rebuilding the trail by hand.
On the order of 120 staff hours a month go to manual reconciliation instead of judgement and risk work.
ERP, core banking, warehouses, and documents each live in their own silo. Every question becomes a join project.
Spreadsheet exports leave no record of who accessed what or how a number was derived.
Generic AI assistants can fabricate figures with no citation or grounding in underlying data.
Four capabilities built around how audit teams actually work.
Deploys on-prem or in your own VPC. Data is read in place. It never leaves your network.
Query-level role-based access. Each user sees only the data their role permits.
Full prompt-level audit log of every query, answer, and data access.
BYOM: choose your model across OpenAI, Anthropic, Google, and Meta.
“Years of dashboard investment. Single-digit adoption. QuaerisAI solved both in weeks. Every team member asking questions, every answer traced back to source.”
Start exploring QuaerisAI on your own financial data.
Try for FreeTell us a bit about your audit stack so the right person can follow up.
Request a CallSee automatic lineage and grounded answers in action.
See DemoDeploy governed agentic analytics on the financial systems you already audit.