Case studies

Outcomes that matter to the C-suite

Selected engagements across industries — problem, solution, implementation, results.

Healthcare

Automating claims processing for a national health insurer

Problem

Manual claims adjudication created a 12-day average cycle time and 22% rework rate across regional teams.

Solution

Deployed an LLM-based intake classifier, RPA workflow orchestration, and a clinical-rules engine on Azure.

Implementation

12-week rollout: data pipeline modernization, agent design, human-in-the-loop QA, SOC2 controls.

62% reduction in cycle time

$8.4M annual savings

98.1% classification accuracy

Finance

AI risk-scoring platform for a mid-market commercial bank

Problem

Fragmented fraud signals across products led to high false positives and missed sophisticated fraud rings.

Solution

Unified data lakehouse + graph-based risk model with explainable scoring for compliance review.

Implementation

Greenfield platform on AWS, model governance, SOC2 readiness, and analyst tooling.

$18M fraud loss reduction

41% fewer false positives

Real-time decisioning under 200ms

Retail

Headless commerce replatform for an omnichannel brand

Problem

Monolithic commerce stack throttled experimentation and limited mobile conversion velocity.

Solution

Composable headless architecture with edge personalization and AI-driven merchandising.

Implementation

Phased migration of 9 storefronts across 4 regions with zero-downtime cutover.

3.1x mobile conversion lift

47% faster page load

12% AOV improvement

Logistics

Real-time visibility platform for global 3PL provider

Problem

Carrier data fragmentation prevented shipment-level SLAs and customer self-service.

Solution

Event-driven ingestion, ML-based ETA prediction, and customer-facing portal.

Implementation

Kubernetes platform with 40+ carrier integrations and managed staffing for ongoing ops.

28% on-time-delivery improvement

$4.2M support deflection

94% customer adoption

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