Proof of Work

Real AI Systems. Real Results.

Every case study is a production-deployed system — not a demo, not a prototype. Built for real clients, solving real problems, running in the real world.

Selected Case Studies

A Few Systems Worth Showing

These examples are intentionally different: one for security, one for knowledge access, and one for process automation.

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Security AIDeployed in production

Multi-Agent SOC Security Analyzer

Challenge: Security analysts were spending their day sorting noisy alerts instead of investigating the highest-risk incidents.

Solution: A multi-agent workflow ingested logs, scored severity, enriched context, and escalated only the cases that needed human review.

94%
Alert Accuracy
10x
Faster triage
24/7
Autonomous
LangGraphPythonElasticWazuhGPT-4o
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RAG SystemDeployed in production

Enterprise PDF Knowledge Base Chatbot

Challenge: Teams could not reliably find answers buried across PDFs, policy docs, and internal handbooks.

Solution: We built a retrieval-augmented search layer that indexed structured and unstructured knowledge, then delivered grounded answers with citations.

10k+
Pages Indexed
<2s
Answer Time
98%
Satisfaction
LangChainPineconeFastAPINext.jsGPT-4o
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Workflow AutomationDeployed in production

n8n Lead Qualification Automation Pipeline

Challenge: Manual routing and follow-up slowed the sales pipeline and created inconsistent handoffs between teams.

Solution: We connected CRM, email, and internal tooling into one automation system that handled enrichment, routing, and follow-up without manual intervention.

200+
Leads/week
80%
Time Saved
3x
Faster Response
n8nLangChainHubSpotPythonOpenAI
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AI Agent DevelopmentDeployed in production

Autonomous Customer Support Agent

Challenge: Support teams were overwhelmed with repetitive questions and slow response times across the ticket queue.

Solution: We built an autonomous agent that resolved common requests end-to-end, escalated edge cases, and kept support moving around the clock.

91%
Auto-Resolved
500+
Tickets/day
60%
Cost Reduction
LangGraphPythonZendeskGPT-4oFastAPI
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Delivery Model

How We Turn an Idea Into Production

The work is intentionally structured so teams can see value early, then scale with confidence.

01

Discovery

We map the manual process, identify the highest-value automation points, and define what success looks like.

02

Prototype

We build a focused, testable slice that proves the workflow before we scale it across the wider stack.

03

Production

We harden the system, wire in observability, and launch with the reliability needed for real teams.

Ready for your own case study?

Let's build something worth documenting.

If you need a production system that improves response times, cuts manual work, or gives your team better access to knowledge, we can help.