Proof of Delivery

Enterprise Delivery Patterns You Can Evaluate

Architecture-first narratives for AI and platform work—focused on problem framing, system design, and measurable operating outcomes without invented client metrics.

Case Study 01

Claims Document Intelligence for an Insurtech Operations Team

Hybrid RAG over policy packs and claim packets, with human review gates before ERP write-back.

Executive problem

Operations teams were spending cycle time triaging unstructured PDFs—claim forms, medical notes, and policy excerpts—before data could enter the core claims system. Manual extraction created backlog, inconsistent fields, and delayed settlement decisions.

System architecture

  1. Document intake & parsing
  2. Chunking & vector index
  3. Retrieval + LLM extract
  4. Guardrail & review queue
  5. ERP / claims API

Operating outcomes targeted

  • Faster first-pass document triage with structured fields ready for reviewer confirmation
  • Cited answers from policy and claim packets to reduce guesswork in adjuster workflows
  • Token cost control via retrieval scoping and response caching for repeated document types

Delivery stack

Python FastAPI LangChain PostgreSQL + pgvector Docker Azure OpenAI
Case Study 02

Governed Internal Knowledge Search for a Multi-Team Enterprise

Access-aware enterprise search over SOPs, runbooks, and product docs—with audit-friendly answer trails.

Executive problem

Knowledge lived across SharePoint folders, Confluence spaces, and shared drives. New joiners and support staff could not find authoritative answers quickly, and leadership needed search that respected role-based access—not a single unbounded chatbot over everything.

System architecture

  1. Source connectors
  2. ACL-aware index
  3. Hybrid retrieval
  4. Grounded answer + citations
  5. Eval & audit logs

Operating outcomes targeted

  • Faster internal answer discovery with source links for verification
  • Permission-aware retrieval so teams only see content they are allowed to access
  • Evaluation harness and prompt/policy controls before broader rollout

Delivery stack

Python FastAPI Hybrid RAG OpenSearch / pgvector AWS Bedrock CI evaluation suites
Case Study 03

Cold-Chain Fleet Logistics App for Field & Ops Teams

Flutter mobile with offline sync, temperature event alerts, and ERP handoff—built for drivers and dispatch, not just dashboards.

Executive problem

Cold-chain runs depended on paper checklists, delayed GPS updates, and spreadsheet reconciliation between drivers, warehouse, and finance. Temperature excursions were reported late, proof-of-delivery was incomplete, and ERP inventory status lagged real routes—creating credit disputes and spoiled-stock risk.

System architecture

  1. Flutter field app (offline-first)
  2. Sync API & event bus
  3. Telemetry & alert rules
  4. Ops console / dispatch
  5. ERP / inventory write-back

Operating outcomes targeted

  • Drivers capture POD, exceptions, and sensor events on-device—even without continuous connectivity
  • Dispatch sees live route status and temperature alerts with actionable thresholds
  • ERP receives structured delivery and inventory updates instead of end-of-day spreadsheet uploads

Delivery stack

Flutter (iOS / Android) Node.js APIs PostgreSQL Offline sync & queue ERP integration QA automation

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