New build
You have a workflow in mind.
A specific business process — customer support, claims triage, sales ops, data extraction — that needs an agent doing real work, not answering FAQs.
Offering · AI Agent Workflows
Agentic workflows with human-in-the-loop review, escalation logic, tool integrations via MCP, and observability built in from day one. Agents that don't just demo well — they ship and keep running.
Who It's For
New build
A specific business process — customer support, claims triage, sales ops, data extraction — that needs an agent doing real work, not answering FAQs.
Stuck
You bought an off-the-shelf agent, or wired one up with a no-code tool, and it can't integrate with your systems, your CRM, your data.
In production
It works most of the time. The rest of the time costs are spiking, behavior is drifting, and you can't tell why. No observability, no guardrails, no eval.
Deliverables
A production AI agent with the engineering required to run it for real.
01
Framework selection, orchestration patterns, state management. Built for the workflow you actually have — not a generic chatbot scaffold.
02
Connect the agent to real systems — CRMs, databases, internal APIs, your knowledge base — using Model Context Protocol. Typed, audited, testable.
03
Approval gates, escalation logic, confidence thresholds, human override paths. Humans see what matters; the agent runs the rest.
04
Schema-validated outputs, refusal patterns, rate limits, content filters. Deterministic where it has to be.
05
Langfuse traces, per-call cost attribution, latency dashboards, retry/timeout policies. You see what the agent is doing — and what it's costing.
06
Golden dataset, automated evals, regression checks. Catch behavior drift before users do — and gate deploys on quality.
How It's Built
We've shipped agents into production for our own products and clients. The harness is the part most teams underestimate: orchestration, state, retries, fallbacks, evals. That's where the work lives.
Tell us the workflow. We'll come back with a scoped plan — architecture, tool integrations, HITL points, eval strategy, and timeline.