Case studies

Real agents. Real outcomes. Real numbers.

Every case study is a production system โ€” deployed, monitored, and delivering measurable ROI. No demos. No prototypes. No slides.

๐Ÿฅ HealthcareBoston, USA

NorthBridge Health Network

Patient intake transformed: 40+ hrs/week โ†’ autonomous in 3 weeks

โšก 3 weeks to production

The Problem

Patient intake, insurance verification, and appointment triage consuming 40+ hours per week per clinic across a 12-clinic network โ€” all manual, all error-prone.

The Agentic Solution

Multi-agent system comprising an intake agent, insurance verification agent, and triage routing agent โ€” integrated with Epic EHR and Microsoft Teams. Agents hand off between each other with full context preservation.

72%
Reduction in intake processing time
$1.4M
Annual savings across 12 clinics
94%
Patient satisfaction with AI intake
3 wks
To production deployment
Stack:LangGraphOpenAI GPT-4oEpic EHR APIMicrosoft TeamsHIPAA-compliant RAG
๐Ÿ’ป SaaSSan Francisco, USA

Vertex Cloud Platform

Support resolution from 14 hrs to 5.3 hrs โ€” zero headcount added

โšก 2 weeks to production

The Problem

Tier-1 and Tier-2 support drowning in repetitive tickets; average resolution time 14 hours, NPS at 32, team scaling unsustainably.

The Agentic Solution

Support orchestration agent with RAG over internal docs, Jira and Zendesk integration, and auto-escalation with human-in-the-loop approvals. Agent triages, drafts responses, and resolves or routes with full context.

62%
Faster ticket resolution (14โ†’5.3 hrs)
48%
Tickets fully auto-resolved
32โ†’61
NPS improvement in one quarter
$2.1M
Saved in headcount scaling
Stack:LangGraphAnthropic ClaudeZendesk APIJiraPinecone RAG
๐Ÿ’ฐ FinanceDubai, UAE

Gulf Financial Holdings

Month-end close: 9 days compressed to 36 hours

โšก 4 weeks to production

The Problem

Month-end close taking 9 days with manual reconciliation across 14 subsidiaries โ€” error-prone, audit-heavy, and blocking strategic reporting.

The Agentic Solution

Finance close agent suite: a reconciliation agent, variance detection agent, and report-drafting agent โ€” connected to SAP and Snowflake, with complete decision-log audit trails.

83%
Reduction in close time (9d โ†’ 1.5d)
99.6%
Reconciliation accuracy vs 94% manual
$3.2M
Annualized cost savings
100%
Audit-ready decision logs
Stack:LangGraphAzure OpenAISAP APISnowflakePython agents
๐Ÿš— AutomotiveDubai, UAE

Emirates Auto Group

Voice AI eliminates 81% of call center volume โ€” 24/7, bilingual

โšก 3 weeks to production

The Problem

Service center call volume overwhelming agents; 35% call abandonment rate, coverage limited to business hours, no Arabic support.

The Agentic Solution

Multilingual voice agent (English + Arabic) handling bookings, service status, and parts inquiries โ€” integrated with Salesforce Automotive Cloud and live inventory systems.

81%
Of calls fully automated
35%โ†’4%
Call abandonment rate
43%
Booking conversion uplift
24/7
Coverage, zero headcount added
Stack:ElevenLabs TTSWhisper STTLangGraphSalesforce APIArabic NLP

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