Atlas AI
A production AI agent that automates operations workflows for a mid-market SaaS company, tool calling, retrieval, and guardrails, engineered to run reliably against real systems.
The Challenge
The client's operations team was drowning in repetitive, language-heavy work: triaging inbound requests, looking up answers across 40,000+ internal documents, and updating records by hand across three systems. An earlier off-the-shelf chatbot had failed , it hallucinated answers, couldn't take action in their tools, and nobody could tell whether it was getting better or worse. They needed an agent that could actually do the work, safely, and prove it was accurate.
Our Approach
A LangGraph orchestration graph with typed tool interfaces against the client’s ticketing, CRM, and internal APIs, every tool call validated and idempotent
A retrieval pipeline over 40k+ internal documents using hybrid search and reranking, evaluated against a labeled question set rather than tuned by feel
An evaluation harness scoring every change on accuracy, escalation rate, and latency, run in CI so regressions are caught before they ship
Guardrails and confidence-based routing that escalate low-certainty cases to humans, with full tracing of every decision the agent makes
Results
Less Manual Handling Time
Eval Accuracy at Launch
Avg. Resolution Time
Capabilities Used
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