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Architecture Review
Case studies & production impact

Case studies from production deployments.

Three systems running in production, with the architecture behind each result.

Agent workflow · Azure OpenAIIllustrative
Sourcing→Parsing→Skill evaluators ×4→Scoring→ATS write
Candidate #2041Role benchmark
Agentic AI · Hireaki platform

Multi-agent talent sourcing & screening

An autonomous 4-to-8 agent workflow built on Azure OpenAI. It cuts candidate screening time by 65%, standardizes multi-dimensional skill evaluations, and writes directly into enterprise ATS records.

  • 4 to 8 cooperating agents per pipeline
  • Standardized multi-dimensional skill scoring
  • Direct write-back to enterprise ATS records
65%less screening time
4–8agents per workflow
ATSnative write-back
ICD-10 coding assistantIllustrative note
Clinical note · follow-up visit68-year-old male seen for follow-up of type 2 diabetes mellitus without complications. History of essential hypertension, controlled on current medication. Lipid panel elevated; continue statin for hyperlipidemia.
HIPAA 3 codes proposed · routed to coder review
Healthcare · Revenue cycle

Healthcare revenue cycle & coding automation

Intelligent document processing and an automated ICD-10 medical coding assistant. Claim denial rates fell by 42% and chart throughput tripled, with full HIPAA compliance.

  • Intelligent document processing of clinical charts
  • Automated ICD-10 code suggestions with coder review
  • Full HIPAA compliance
42%lower claim denial rate
3×chart throughput
HIPAAfully compliant
Architecture · before and afterIllustrative
Before
On-premises enterprise platform
After · Azure Container Apps
Angular UIGatewayOrdersBillingReportsAgent APIs
Uptime · 90-day view99.95%
Infrastructure cost (indexed)−40%
Before
After
Modernization · Azure

Legacy monolith modernization to Azure microservices

We re-architected an on-premises enterprise platform into scalable Azure Container Apps with an Angular frontend. The result: 99.95% uptime, 40% lower infrastructure costs, and native API integration for AI agents.

  • Azure Container Apps microservices
  • New Angular frontend
  • Native APIs ready for AI agents
99.95%uptime
40%lower infrastructure cost
APInative agent integration

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