Finance Ops
AI for finance operations
Shorten the close, catch the exceptions, and give the controller an audit trail rather than a black box.
Finance operations is unusually well suited to agentic AI and unusually unforgiving of it. The work is high-volume, rule-dense and repetitive — but a wrong answer shows up in a filing. Magnigent's approach is to only take on work where the output can be independently verified: reconciliations that must tie, matches that must balance, policies that can be checked. Everything else stays a recommendation with the evidence attached.
Use cases
Where finance ops gets automated first
Financial close support
Account reconciliations, accrual preparation, flux and variance commentary, and audit PBC fulfilment, tracked against the close calendar.
Accounts payable exceptions
Three-way match breaks, coding errors, duplicate payment detection and recovery, and vendor query response.
Accounts receivable and collections
Dunning sequences, promise-to-pay tracking, dispute categorisation and aging commentary for the weekly review.
Cloud and AI spend governance
Commitment planning, anomaly detection, showback and chargeback, and the model-and-token spend line that has no owner in most enterprises.
Travel and expense audit
Full-population policy review instead of sampling, with duplicate, out-of-policy and pattern-anomaly detection.
Forecast and variance analysis
Driver-based rollups, variance narratives written from the underlying transactions, and a first draft of the commentary.
Statutory and tax filing preparation
Assemble the return packages, reconcile the source data, and flag jurisdictional changes that affect the filing.
Intercompany reconciliation
Multi-entity matching, elimination support and dispute resolution across ledgers that were never designed to agree.
How it works
From tacit process to supervised operation
Every engagement follows the same four moves, whichever function it starts in — run by a forward deployed engineer embedded with the team that owns the process.
Connect ledgers and sub-ledgers
ERP, billing, procurement and banking data are mapped into a single semantic model so an agent understands that four systems are describing one transaction.
Set the verification gate
Every process needs an independent check — a control total, a reconciliation, a policy test. Work that cannot be verified is not automated.
Run with maker-checker
Agents prepare; humans approve. Approval thresholds are yours to set and tighten, and every action carries lineage back to the source document.
Report unit economics
Cost per invoice, per reconciliation, per close day. The business case is a subtraction problem you can audit.
Let's talk about the first process
Tell us the operation that costs the most and is documented the least. We will tell you honestly whether it is a good first candidate.