Topic
AI Agents
An AI agent earns its place when it does the work autonomously — not when it drafts a suggestion for a human to finish. CINDR.LA builds agents that own an outcome end to end: enrich and score every inbound lead, resolve support tickets without a human in the loop, guide employees through onboarding, and orchestrate workflows across an entire automation estate.
What these projects share is scope discipline. Each agent has a clear job, the tools and data to do it, and guardrails so it fails safely. That’s the difference between a demo and a system you can trust with live traffic — 70% of L1 tickets resolved, MQL-to-SQL conversion up 27%, 99.9% workflow uptime.
The case studies below are all running in production today.
Case Studies
AI Support Triage & Auto-Resolution
How a SaaS company eliminated 70% of L1 tickets by deploying an AI triage agent that classifies, routes, and resolves support requests autonomously.
AI-Powered Employee Onboarding Copilot
How an enterprise reduced new hire ramp time by 60% by replacing static onboarding portals with a conversational AI copilot that guides employees through their first 90 days.
Self-Driving Lead Enrichment & Scoring
How a startup GTM team increased MQL-to-SQL conversion by 27% by deploying an autonomous lead enrichment and routing agent that eliminates manual CRM work.
Cross-Platform Orchestration with Zero Lock-In
How an enterprise technology team achieved 99.9% workflow uptime and eliminated vendor lock-in by deploying a platform-agnostic orchestration layer across their entire automation estate.