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Case Studies

Automations Already Running in Production. With Results You Can Measure.

Every case here ended with AI running in production, not a proof-of-concept demo. We measure outcomes in hours saved, errors eliminated, and revenue recovered.

AllAI AutomationAI AgentsSystem IntegrationCustom MLHR AutomationSales AI
Logistics & Distribution AI Automation

Automated Invoice Processing Cuts AP Cycle by 85%

The Challenge

A regional distribution company was processing 3,000+ supplier invoices a month by hand, a process that took 2–3 days per batch and generated frequent payment errors.

Our Solution

We built an AI-powered invoice capture and processing workflow using n8n and OCR. Invoices arrive by email, data is extracted, validated against POs, and posted to NetSuite automatically.

Results

  • 85% reduction in processing time
  • Error rate dropped from 4.2% to 0.3%
  • AP team reallocated to vendor relations
  • 12-week implementation
Financial Services AI Agents

AI Knowledge Agent Handles 80% of Internal HR Queries

The Challenge

A financial firm with 400+ employees had its HR team buried in repetitive questions about benefits, policies, and procedures, averaging 150+ queries a week.

Our Solution

We deployed a custom RAG-based AI agent trained on their entire HR policy database. Employees query it via Slack in natural language and receive accurate, cited answers instantly.

Results

  • 80% of queries fully resolved by AI
  • HR team saves 20+ hours/week
  • Employee satisfaction improved
  • 6-week delivery
Manufacturing System Integration

Real-Time Inventory Sync Eliminates Stock Discrepancies

The Challenge

A mid-size manufacturer operated three warehouses with disconnected inventory systems, leading to daily stock discrepancies and fulfillment errors costing $50K+ monthly.

Our Solution

We built a real-time inventory synchronization workflow connecting their WMS, ERP, and e-commerce platform via API. Any stock movement in one system propagates instantly to all others.

Results

  • Zero stock discrepancies after go-live
  • $50K+ monthly savings recovered
  • 100% order fulfillment accuracy
  • 4-week implementation
Professional Services Custom ML

Custom ML Model Improves Client Proposal Win Rate by 34%

The Challenge

A consulting firm had no systematic way to prioritize which RFPs to respond to, spending equal time on low- and high-probability opportunities.

Our Solution

We trained a Vertex AI classification model on 3 years of historical RFP data, win/loss outcomes, and client signals. The model now scores incoming RFPs and surfaces the top opportunities.

Results

  • 34% increase in proposal win rate
  • 30% reduction in proposal volume
  • Team focus on highest-ROI bids
  • 8-week delivery with Vertex AI
Healthcare Operations HR Automation

Automated Onboarding Reduces New Hire Time-to-Ready by 78%

The Challenge

A healthcare operator was taking 5–7 days to fully onboard new clinical staff: system provisioning, credentialing documents, and training assignments, all handled by hand.

Our Solution

We built an end-to-end onboarding automation that triggers on hire confirmation: creates accounts, routes documents for signing, assigns training modules, and notifies managers at each step.

Results

  • New hire ready in 1.2 days (avg)
  • Zero provisioning steps missed
  • HR overhead reduced by 60%
  • 5-week implementation
E-Commerce Sales AI

AI-Powered Lead Scoring Increases Qualified Pipeline by 40%

The Challenge

A B2B e-commerce company had more inbound leads than its sales team could prioritize effectively, so high-value prospects got the same attention as unlikely fits.

Our Solution

We implemented an AI lead scoring system integrated with HubSpot that scores inbound leads on 18 behavioral and firmographic signals, routing hot leads to senior reps within minutes.

Results

  • 40% more qualified opportunities worked
  • Response time to hot leads: <5 min
  • Sales cycle shortened by 22%
  • 3-week implementation

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