Case Studies

Enterprise AI, Delivered

Real projects. Real outcomes. Here's what we've built for companies ready to lead with AI.

01Custom AI AppHealthcare

Regional Healthcare Network

AI-Powered Clinical Documentation System

A large regional healthcare network was losing thousands of clinician hours per month to manual documentation. We designed and built a custom LLM-powered documentation assistant that listens to patient encounters, drafts clinical notes in real time, and integrates directly with their existing EHR system.

The Challenge

Clinicians were spending 35–40% of their time on documentation instead of patient care. Existing transcription tools produced raw text that still required heavy editing and didn't map to structured EHR fields.

Our Solution

We built a purpose-trained AI documentation layer that understands clinical terminology, maps outputs to structured EHR data fields, and flags items requiring physician review — reducing the editing burden to under 2 minutes per encounter.

Custom AI App DevelopmentIntegration & Deployment

Results

68%

Reduction in documentation time

3.2hrs

Returned to patient care daily per clinician

12 weeks

From kickoff to full deployment

02AI StrategyLogistics & Supply Chain

National Logistics Company

Enterprise AI Roadmap for a $2B Logistics Operation

A national logistics company with 4,000+ employees had no coherent AI strategy despite significant data infrastructure. Leadership knew AI was critical but didn't know where to start. We delivered a full AI readiness assessment and a prioritized 18-month roadmap.

The Challenge

The company had siloed data across 12 legacy systems, no ML infrastructure, and a leadership team skeptical of AI ROI. Previous vendor proposals had been vague and expensive with no clear outcomes.

Our Solution

We conducted a 3-week deep-dive assessment across operations, finance, and logistics teams — identifying 14 AI opportunity areas, scoring each by ROI potential and implementation complexity, and delivering a board-ready roadmap with clear milestones and ownership.

AI Strategy & RoadmappingAI Audits & Assessments

Results

AI opportunities identified and scored

$4.1M

Projected first-year ROI from top 3 initiatives

3 weeks

Assessment to board-approved roadmap

03Integration & DeploymentFinancial Services

Mid-Market Financial Services Firm

AI-Driven Client Intelligence Platform

A financial services firm wanted to give their advisors AI-powered insights on client portfolios and risk exposure — but their data lived across three disconnected systems. We built the integration layer and AI intelligence engine that unified their data and surfaced actionable advisor alerts.

The Challenge

Client data was fragmented across a CRM, a portfolio management system, and a legacy reporting tool. Advisors were manually compiling reports that took hours and were often outdated by the time they were used.

Our Solution

We designed a unified data pipeline connecting all three systems, built an AI analysis engine that monitors portfolio risk and client life events in real time, and delivered a clean advisor dashboard with prioritized action items and AI-generated client briefings.

Custom AI App DevelopmentIntegration & Deployment

Results

91%

Reduction in manual report preparation

2.4x

Increase in proactive client outreach

8 weeks

Full deployment timeline

04AI AuditRetail & E-Commerce

E-Commerce Retailer

AI Audit That Saved $800K in Wasted Spend

A fast-growing e-commerce company had invested heavily in AI-powered personalization and demand forecasting tools — but conversion rates weren't improving and inventory issues persisted. We conducted a vendor-neutral audit that revealed the root causes and a clear path forward.

The Challenge

The company was paying for three AI tools that overlapped in function, had poor data quality feeding their models, and had no internal process for measuring AI performance. Leadership suspected the tools weren't working but had no evidence.

Our Solution

Our audit evaluated all three tools against actual business outcomes, assessed the underlying data pipelines, and identified that two tools were producing near-identical outputs while a data quality issue was degrading all model performance. We delivered a consolidation plan and data remediation roadmap.

AI Audits & AssessmentsAI Strategy & Roadmapping

Results

$800K

Annual spend identified for elimination

34%

Improvement in forecast accuracy post-remediation

4 weeks

Audit to recommendations delivered

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