Case studies

Deployed. Measured. Audited.

Client names are withheld under NDA. Metrics are drawn from jointly validated post-deployment reviews.

Financial ServicesGlobal Systemically Important Bank

From 40 stalled pilots to 9 governed production systems in three quarters.

Challenge

Dozens of business-unit AI experiments could not clear model risk review, and no one held an enterprise view of exposure.

Approach

  • Stood up an Enterprise AI Office™ with embedded forward deployed engineers
  • Built a policy-enforced model gateway with per-desk controls
  • Created an MRM-aligned evidence pipeline generating audit artifacts automatically

Measured outcomes

$96M
Annualized value
11 weeks
Time to first production
0
Audit findings
72%
Employee adoption
InsuranceTop-10 Property & Casualty Carrier

Submission-to-decision cycle cut by more than a third.

Challenge

Broker submissions arrived in hundreds of formats, and underwriters spent most of their day on ingestion instead of judgment.

Approach

  • Deployed a document intelligence pipeline with confidence-based routing
  • Integrated appetite matching directly into the underwriting desktop
  • Instituted fairness monitoring reviewed quarterly by compliance

Measured outcomes

35%
Cycle-time reduction
97.4%
Ingestion accuracy
$21M
Leakage recovered
+28%
Underwriter capacity
HealthcareMulti-State Academic Health System

42 minutes returned to clinicians per shift, with zero PHI leaving the boundary.

Challenge

Documentation burden drove clinician attrition, while prior AI attempts failed privacy review.

Approach

  • In-VPC inference with tokenized PHI and no vendor retention
  • FHIR-native retrieval with clinician-in-the-loop review
  • Clinical validation protocol co-authored with the safety committee

Measured outcomes

42 min
Time returned per shift
-31%
Documentation burden
0
Privacy incidents
+19 pts
Clinician satisfaction
ManufacturingGlobal Industrial Manufacturer

Unplanned downtime reduced 22% across 31 plants.

Challenge

Maintenance expertise was retiring faster than it could be transferred, and OT segmentation blocked cloud AI.

Approach

  • Edge inference nodes deployed plant-local behind OT segmentation
  • Historian and MES retrieval unified into one maintenance copilot
  • Knowledge capture program converting expert sessions into governed content

Measured outcomes

22%
Downtime reduction
31
Plants live
-16%
Quality escapes
7 months
Payback period
RetailNational Specialty Retail Chain

38% contact deflection without a measurable drop in satisfaction.

Challenge

Peak-season service costs were unsustainable and generated content risked brand consistency.

Approach

  • Order-context retrieval service connected to realtime inventory tools
  • Brand voice policy layer enforced at generation time
  • Continuous evaluation tied to CSAT rather than deflection alone

Measured outcomes

38%
Contact deflection
+1.2 pts
CSAT change
-54%
Content cost
1,100
Peak-season temps avoided
TechnologyEnterprise Software Platform

Enterprise security reviews passed at 94% after AI governance rebuild.

Challenge

In-product AI features were stalling deals because the company could not evidence its own controls.

Approach

  • Tenant-isolated inference architecture with documented data flows
  • Feature-level evaluation gates wired into the release pipeline
  • Customer-facing transparency artifacts published per feature

Measured outcomes

94%
Security review pass rate
-23 days
Deal cycle
46%
Support deflection
+21%
Engineering throughput

Next step

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