AI your auditors will sign off on.
Your regulators already have a framework for this: model risk management. Obsivara extends that discipline to every LLM workflow you run — complete audit trails, versioned change history, cost controls, and reliability scoring — so innovation and examination readiness stop being a trade-off.
What finance teams are up against.
Examiners expect model governance
SR 11-7 and its equivalents apply to models — and your regulators increasingly read LLM workflows as models. Inventory, validation, and change control expectations don't disappear because the model came from an API.
AI spend is unbudgetable
Inference costs scale with usage and spike without warning. Finance teams that can forecast infrastructure to the dollar find AI spend arriving as an unexplained, unattributed line item.
Silent failure is unacceptable
An AI workflow feeding fraud detection, credit memos, or client reporting can't just quietly degrade. You need failure prediction and drift detection, not post-hoc explanations to a regulator.
Where Obsivara goes to work in finance.
AI model inventory for examinations
Auto-discover every AI workflow, model, and provider in use across the organization — the always-current inventory your model risk management framework requires.
Fraud and AML workflow reliability
Monitor AI-assisted fraud detection and AML triage for accuracy drift and latency creep, with predictive alerts before degradation affects case quality.
Client-reporting AI oversight
Trace AI workflows that draft client communications and reports, with human-review checkpoints and full replay for any output that gets questioned.
AI cost control and chargeback
Attribute every inference dollar to a desk, department, or product line — turning AI spend from an unallocated mystery into a governed budget line.
The features that matter most for finance.
From SR 11-7 to DORA to the EU AI Act's high-risk provisions, the regulatory direction is uniform: know your models, control changes to them, and prove it. Obsivara maintains the living AI inventory, versions every workflow change with who-what-when attribution, and produces examination-ready evidence on demand — so your AI program expands your capabilities without expanding your findings list.