Tier-1 ticket resolver
Handles password resets, refunds, tracking, and FAQ — with full audit trail and human escalation on confidence drop.
A demo agent that books a flight is impressive. An agent that handles 8% of your tier-1 tickets, end-to-end, without escalations? That takes infrastructure. We build it.
We've shipped enough of them to know exactly which problems eat 80% of the runway.
Where does the agent decide vs. ask a human? Wrong answer in either direction kills trust or productivity. We design the policy.
Tools fail. APIs rate-limit. Auth tokens expire. Retries, idempotency, circuit-breakers — boring eng that makes agents production-grade.
Short-term context, episodic memory, semantic memory. Vector + graph + relational, with eviction and PII rules.
Not just "did the answer match?" — did the agent take a sensible path? We score traces, not just outputs.
An agent loop that calls a frontier model 14 times per task is a budget killer. We bound depth, parallelize, and cache.
What can each agent touch? Per-tool RBAC, scoped credentials, full audit trail of every action — required for any regulated domain.
Most teams arrive with a single agent loop. We help them evolve to the supervisor pattern below — fewer hallucinations, faster trajectories, defensible cost.
Distributed traces. Tool inputs / outputs. Token costs. Eval scores. Per-step latency. Captured automatically and stitched into one timeline — so when something goes sideways, you find the exact step in seconds.
Handles password resets, refunds, tracking, and FAQ — with full audit trail and human escalation on confidence drop.
Reviews diffs against architecture rules, security policy, and team conventions. Posts comments, never blocks.
Plain-English questions over governed data, with column-level lineage and access checks per request.
Pulls signals from CRM, news, hiring data, GitHub. Drafts outreach with verifiable citations and confidence scores.
That's the most expensive place to be. Show us your traces — we'll diagnose where the trajectory breaks and propose the smallest set of fixes that gets you to production.
Get a trace audit →