AI for Finance & Accounting. Built for Audit, Risk, and Scale
Agentic AI for controllers, CFOs, and accounting teams where every number has to tie out, and every action has to be defensible in an audit.
The opportunity
Finance runs some of the highest-leverage workflows in the enterprise, and the most constrained. RPA delivered incremental wins here and then broke on the edge cases, because a script can't reason about a transaction its author never anticipated. Fintechy builds agentic AI that handles that variability across reconciliation, close, accruals, reporting, and FP&A, while preserving the audit trail, segregation of duties, and control environment a controller and an external auditor require.
Written for the auditor
The person who can stop a finance AI deployment is rarely the person who wanted it. It's the external auditor and the SOX owner, and we design for them first. Every agent action is logged and replayable. Tool access is role-based, so an agent that drafts a journal entry cannot approve it. Segregation of duties is enforced in the architecture, not promised in a policy. Nothing the AI does should be harder to audit than the manual process it replaced.
Use cases we build
Automated reconciliation
Investigates variances and drafts journal entries for review; exceptions land in a queue by morning.
Close acceleration
Drafts accruals, flux analysis, and variance explanations for the team to approve.
Anomaly and fraud detection
Flags transactions and payments with the reason attached, not just the flag.
FP&A copilots
Answer financial questions grounded in your actuals and plans, with lineage on every figure.
Compliance reporting
Drafts filings and disclosures with citations back to source data.
AP automation
Invoice processing and PO matching that sends only genuine exceptions to a person.
Integration reality
We integrate with NetSuite, SAP (S/4HANA, Ariba, SuccessFactors), Oracle Cloud ERP, and Workday, on AWS, GCP, or Azure. We build against your general ledger and sub-ledgers as they are, not a reference configuration.
How we deliver
Diagnose
Map the workflows, the controls, and the data landscape, and find where AI has real leverage.
Architect
Design for your control environment: evidence capture, segregation of duties, and logging built in from the start.
Build
Ship production-grade systems that document themselves for audit on day one.
Scale
Run, monitor, and govern the systems across the finance function.
The reconciliation pile a human touches shrinks to the exceptions that need judgment. Rote close steps arrive drafted and cited, waiting for review instead of construction. Anomalies surface with a reason, so the team investigates instead of triages.
FAQ
Every AI action is logged and replayable, with control evidence captured as the work happens and aligned to your SOX framework.
It handles the variances a rules engine can't, investigating, drafting a journal entry with its reasoning, and routing it to a person to approve. The human stays in the approval seat.
Role-based tool access: an agent that drafts an entry cannot approve it, and the boundary is enforced and logged.
Yes, along with the surrounding sub-ledgers and reporting systems.
Let's design your finance AI program
A working session tailored to your stack, your controls, and your priorities.