CLU
case-studies/
// CASE_STUDIES

Real results.
Real enterprises.

Every number below comes from sustained production deployments — not pilots, not simulations.

Health InsuranceAgentsConnectorsSkills

How a Major Health Insurance Provider Cut Costs by 85% with AI Agent Orchestration

299,290 real interactions. 18 months in production. Not a pilot.

Aug 2024 – Jan 2026
85.3%
Reducción de costos
37×
Resolución más rápida
~6×
ROI año 1
299K
Interacciones

AGENTMartina

Autonomous AI agent deployed to handle customer inquiries end-to-end — coordinating CRM, ERP, and internal databases without human intervention.

KEY RESULTS

  • USD 1.16 → USD 0.17 cost per interaction
  • 20 minutes → 32 seconds median resolution
  • USD 296,299 accumulated savings in 18 months
  • 8.9% negative sentiment — operationally acceptable

Client identity anonymized at their request.

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BPO / Identity VerificationAgentsSkills

How a CLU Agent Took Over 87% of a Help Desk in 37 Days

6,775 real cases. 37 days in production. Not a pilot.

Feb 18 – Mar 26, 2026
81%
Reducción de costos
87.4%
Volumen automatizado
88.9%
Cumplimiento SLA
6,775
Casos procesados

AGENTHelp Desk Agent

Autonomous agent processing identity verification cases end-to-end — overnight batch runs clear the queue before human agents arrive, turning a 9-5 operation into 24/7 coverage.

KEY RESULTS

  • $2,700/month team → $500/month agent (81% cost reduction)
  • 87.4% of all volume automated by end of month 1
  • 82.2% approval rate — identical to human team (82.3%)
  • 88.9% SLA compliance vs 83.1% for human agents
  • Deployed from zero to production in under 1 week

Client identity anonymized at their request.

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Manufacturing / SAPAgentsConnectors

How an Industrial Group Surveyed SAP ECC and SAP BW in 4 Weeks Instead of 8 Months

26 objects end-to-end in 72 minutes. Not a pilot.

Jul – Aug 2026
−97%
Horas-hombre
2
Sistemas SAP
4 wks
En vez de 6–8 meses
72 min
Corrida de 26 objetos

AGENTSAP Survey Agent

Read-only harvesting agent deployed inside the customer network, connected to both SAP ECC and SAP BW — reads metadata directly over RFC and writes the AS-IS document from what it measured.

KEY RESULTS

  • 97% reduction in person-hours: ~600 PH → ~15 PH across a 15-object scope
  • Both SAP systems — ECC and BW — read in a single run, evidence cross-referenced
  • AS-IS documentation cycle compressed from 6–8 months to 4 weeks
  • 208 pages delivered, 14 fixed sections per object, zero hand-written facts
  • Findings the manual method never surfaced: 60 customer DataSources hidden in $TMP

Client identity anonymized at their request.

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MORE COMING

Additional case studies in progress across industries.