Real integrations. Measured outcomes. No theater.
Every engagement here traces a specific problem, a specific stack, and the numbers that came out the other side. Read the one that looks like your ops.
Four engagements. Four different problem shapes.
Ticket triage cut from 6 hours to 14 minutes
Three FTE roles absorbed into one agent layer
A 40-person SaaS startup routed support tickets manually. We trained a classification agent on 18 months of Zendesk history and wired it into their Linear backlog.
A 200-person logistics firm ran invoice reconciliation through three coordinators. We replaced the workflow with an LLM agent connected to their ERP via a custom API bridge.
Support error rate dropped 91% in eight weeks
Revenue signal latency cut from days to minutes
A fintech at scale had a chatbot that hallucinated compliance answers. We rebuilt it on their own policy documents, sandboxed the LLM calls, and logged every response for audit.
A retail analytics team waited 48 hours for pipeline reports. We replaced their batch ETL with a streaming layer and an LLM-assisted anomaly flag that fires in under two minutes.
34,000+
91%
11 FTE
< 8 wks
Engineering hours saved across client workflows in the past 18 months.
Average error rate reduction on automated decision layers post-deployment.
Headcount growth avoided across documented client engagements to date.
Median time from signed contract to live agent running in production.
See the stack decisions behind each build.
The services page maps every capability to the integration patterns you just read. Scope, tooling, and deployment model—all documented.