Case Studies

Outcomes, not science projects.

A look at the kinds of AI workflows we ship — and the measurable impact they have on the businesses that run them.

Customer Experience Automation

Claude-powered support copilot for a multi-channel retailer

A national retailer was losing customer satisfaction to long response times and inconsistent agent answers. We built a Claude-powered copilot that drafts replies grounded in their policy and order data, and a triage agent that routes inbound contacts to the right queue automatically.

62%

Faster first response

+18pt

CSAT lift

3.4x

Tickets per agent hour

Claude Sonnet AWS Bedrock Zendesk RAG
Discuss a similar engagement
Case 01
Inbound
"My order shipped to the wrong address — how do I fix this?"
Claude draft
Order #4421 located. Draft response with policy citation and one-click fix flow ready for agent review.
Case 02
Contract extraction
counterpartyAcme Holdings
term_end2027-06-30
auto_renewtrue (90d notice)
liability_cap2× fees
confidence0.97
Document Intelligence

Contract intelligence pipeline for a financial services firm

A 14,000-document contract portfolio had no structured view of renewal dates, liability terms, or auto-renew clauses. We built a Claude-driven extraction and review pipeline with reviewer workflows — every field traceable back to its clause in the source PDF.

97%

Field-level accuracy

9 days

From pilot to production

$2.1M

Recovered renewal value

Claude Opus Azure OpenAI Snowflake Citation grounding
Discuss a similar engagement
Internal Productivity Tools

An internal Claude assistant grounded in 12 years of institutional knowledge

A global consulting firm had decades of project decks, SOWs, and methodology PDFs scattered across SharePoint. We built a secure internal assistant — RAG over their corpus with full citation, role-aware permissions, and SSO — used daily by analysts, managers, and partners.

82%

Weekly active users

6.2 hrs

Saved per analyst / week

100%

Cited responses

Claude Haiku & Sonnet SharePoint Entra ID SSO Hybrid search
Discuss a similar engagement
Case 03
Question
"Have we proposed a TMS migration approach for mid-market industrials before?"
Assistant
Yes — 4 prior proposals match. Most recent: 2024 Phase-Gate methodology. View source
Case 04
Natural language query
"Show me churn risk by segment for the last 90 days."
Business Intelligence

Natural-language analytics for a SaaS revenue org

Operators were stuck waiting on the analytics team to answer routine questions. We built a semantic-layer-aware analytics agent powered by Claude — operators ask questions in plain English and get charts, numbers, and explanations grounded in approved metric definitions.

11×

Faster ad-hoc analysis

94%

Query accuracy

-70%

Analyst ad-hoc backlog

Claude Sonnet Snowflake dbt semantic layer Tool use
Discuss a similar engagement

"We had spent a year on AI proofs of concept that never went anywhere. Java Ventures showed up, prioritized ruthlessly, and shipped something our agents actually use — in six weeks."

VP of Operations · National Retailer
Insights

Practical notes from the AI frontline.

Get one short, useful email a month — patterns that work, mistakes to avoid, and updates from real deployments.

No spam. Unsubscribe anytime.