Real AI. Real Workflows.
Measurable Results.

The Challenge

A regional distribution company was processing 3,000+ supplier invoices per month manually — taking 2–3 days per batch and generating 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

The Challenge

A financial firm with 400+ employees was overloading its HR team with repetitive questions about benefits, policies, and procedures — averaging 150+ queries per 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

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

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

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 manually.

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

The Challenge

A B2B e-commerce company had an inbound lead volume too large for its sales team to prioritize effectively — resulting in high-value prospects receiving 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