Case studies demonstrating enterprise AI workflows, retrieval systems, governance, observability, and production-oriented architecture.
Case StudyEnterprise Sales AI
Customer Zero Sales Copilot
AI sales copilot designed to reduce manual account preparation and surface actionable recommendations through retrieval, structured analysis, and conversational workflows.
Problem
Sales preparation required fragmented research, manual summarization, inconsistent recommendations, and lacked observability into generated outcomes.
Solution
Retrieval pipelines
Structured account analysis
Evaluation scoring
Observability
Local inference support
Chat follow-up workflows
Architecture
Frontend: Vite + React
Backend: FastAPI
Inference: IBM Granite via Ollama
Build Status
Production Demo Ready
Capabilities
Account analysis
Follow-up conversation
Routing visibility
Retrieval-aware recommendations
Local execution
Challenges Solved
Provider abstraction
Local model integration
UI responsiveness
Latency optimization
Runtime observability
Scroll/truncation fixes
Embedded product walkthrough with inline playback, account analysis, retrieval-aware recommendations, observability, and follow-up chat flows.
Case StudyLegal AI Platform
Legal Agent Researcher
Enterprise-oriented legal research and operational intelligence platform built to support retrieval, document understanding, and governance-aware legal workflows.
Problem
Legal analysis often requires fragmented research, disconnected evidence, difficult traceability, and inefficient knowledge retrieval.
Solution
Document ingestion
Retrieval pipelines
Structured legal reasoning
Provenance foundations
Enterprise architecture
Architecture
Frontend: Static frontend
Backend: FastAPI
Build Status
Enterprise Prototype
Capabilities
Legal research workflows
Retrieval
Document analysis
Evidence organization
Operational intelligence
Challenges Solved
Structured retrieval
Governance foundations
Multi-step reasoning
Modular architecture
Enterprise readiness
Embedded product walkthrough with inline playback, document ingestion, retrieval, citation-aware legal analysis, provenance foundations, and enterprise workflow governance.