Production case studies

Built, shipped, and running in production.

Soba Labs builds custom agentic systems for growing companies. These are four of them. Each case study follows a real AI system from the business problem through production. We show the architecture, the failure that changed the design, and the controls that made the system reliable in day-to-day work.

PRODUCTION WORKFLOWinputreasoncheckhandoffTRACE · EVALUATE · IMPROVE
Client work

What changed after the demo.

Loyalty softwareOpen LoyaltyAI SDR and inbound sales agentProblemInbound demand arrived faster than the team could qualify it, and a retried CRM write could record one conversation as two leads.A production sales agent that qualifies inbound leads, answers product questions from a live knowledge base, and writes structured outcomes back to the CRM.No duplicatesone CRM write per conversation turn, held by idempotency keys and a timeout regression testEvery turntraced and inspectable, so a wrong answer is debuggable after the factLead qualificationSource-grounded answersCRM handoffRead case studyHealthcareShen.aiPatient education assistantProblemPatients could not read their own scan results, and in healthcare a confident wrong answer is a safety incident, not a bug.A patient-facing assistant that explains health scan results from an approved medical knowledge base. Low-confidence and clinical questions route to a clinician.15%of conversations routed to a clinician; the rest answered from approved material40%fewer unnecessary clinician reviews after threshold tuningSource-grounded answersConfidence-based routingHuman in the loopRead case studyManufacturingRyba Wooden ProductsAI and operations auditProblemAI ideas were stuck behind the records: every system described the same customer differently, so no automation could be trusted.An audit and consulting engagement that prioritised practical AI opportunities, moved operational data to PostgreSQL, and helped the team select and implement a CRM.30% fasterprocess completion after the audit, the PostgreSQL move and the CRM went in42% feweroperational errors across the same processesAI opportunity auditPostgreSQL foundationCRM implementationRead case studyFootwear retailWojasSEO and GEO visibility platformProblemVisibility was split between classic search and generative answers, so nobody could see where the brand actually stood or who was cited instead.A production platform that monitors search and AI citation visibility, compares competitors, and turns reports into content and strategy recommendations.2% to 23%GEO visibility, the share of generative answers featuring the brand4 monthsfrom the first monitored baseline to that positionSEO and GEO monitoringCompetitor analysisContent recommendationsRead case study
Incoming

Incoming case studies

ManufacturingIn preparation
LegalIn preparation
MarketingIn preparation