Step 1
Confirm which request families, providers, and deployment boundary your program must support.
Finance governance
Keep financial AI workloads inside a reviewable control boundary
Financial institutions use AI across trading support, customer service, risk analysis, and document review. Verdictan helps platform and model risk teams apply configured policy to supported traffic and retain evidence for supervisory review.
What you are trying to solve
Fragmented AI integrations make it difficult to show consistent handling of MNPI, customer identifiers, and model routing decisions.
Step 2
Start from a sector template or control map, then tune thresholds for your environment.
Step 3
Run deterministic policy tests before you route regulated or customer-facing traffic.
Financial workloads that need centralized controls
Research assistants, contact-center copilots, and document summarization tools may all process customer or market-sensitive information.
Verdictan does not replace your model risk management framework or regulatory obligations. It provides a technical enforcement point for supported AI requests.
Controls teams usually test first
Customer and counterparty data
Test redaction, blocking, and review paths before prompts with financial identifiers reach external models.
Model risk testing
Version policy configuration and run deterministic tests as part of your change process for AI-assisted workflows.
Vendor and provider routing
Keep production traffic on approved upstream targets with explicit credential scoping.
A practical rollout sequence
- Inventory AI use cases by business line and data classification.
- Align policy starters with model risk management before production routing.
- Review decision samples with audit and compliance stakeholders.
Related paths
Continue with a template, product area, or guide that matches this page.
You can demonstrate configured policy handling and retained decision events for supported production traffic.
Download Verdictan and test your first governed request path.