Insights / Case studies / Financial Services
A top-10 US bankGenerative AI through model-risk review, and into production.
INDUSTRYFinancial Services
CAPABILITIESGovernance · Data & AI Platforms · Managed Pods
ENGAGEMENTDelivery partner + managed pod
DURATION9 months to production
01 — Challenge
Generative AI pilots were blocked in model-risk review with no path to production.
02 — Approach
01Assess the backlogReviewed the stalled pilots with model risk, compliance, and technology to find what each was missing.
02Design the operating modelDefined risk tiers, evidence requirements, and decision rights from intake to release.
03Build the platformStood up shared evaluation, monitoring, and release tooling so every use case produces the same evidence.
04Staff and runA managed pod operates the platform and supports use-case teams through review.
03 — Tech stack
Microsoft AzureAzure OpenAIDatabricksMLflowServiceNowPythonOpenTelemetry
04 — Outcomes
12use cases in production in 9 months
50%shorter model-risk review cycle
8teams onboarded to the shared platform
05 — Related work
Automotive & MobilityA global automotive OEMAn agentic claims-triage workflow on Azure and Databricks, with human review on high-value claims.
40%faster claim resolution
Aerospace & DefenseA Fortune 500 aerospace manufacturerA retrieval-based assistant for MRO technicians on a secure cloud tenant, built and staffed by a dedicated pod.35%reduction in time-to-diagnosis
Your program
Have a pilot that should be in production?
Tell us where it stalled. We’ll tell you what it would take.