Skip to content
Pillar 01 · AI Agents

Production agents that run the work.

Not a chatbot. Not a Lindy template. Custom-trained agents we deploy on n8n + Groq + custom TypeScript, then operate continuously. Operators audit the edges where automation breaks.

Use cases that ship

What we actually deploy in production.

Every workflow ships with observability, retries, rollback, and an operator on call. No "experimental" agents, no AI hype.

Workflow

Lead routing + qualification

Every inbound lead enriched, scored, and routed to the right operator or sales rep in under 60 seconds. Tunable thresholds per channel.

Workflow

Sales follow-up cadence

Adaptive follow-up sequences that respond to prospect signal. Opened, replied, ghosted, asked a hard question. No template trees.

Workflow

CRM enrichment

Auto-fill missing fields, deduplicate records, normalize firmographics. Runs continuously, not as a one-time scrub.

Workflow

Document parsing + extraction

Invoice, contract, statement parsing into structured records. Edge cases route to operator audit before write-back.

Workflow

Portfolio monitoring

Daily-standup replacement for 20+ account watch. Agents monitor thresholds, detect anomalies, write weekly narrative reports.

Workflow

Customer support triage

First-pass classification, response drafting, escalation routing. Operator approves outbound when stakes are high.

The stack · self-hosted where it matters

Production-grade, not a chatbot template.

Four primitives layered behind every agent we ship. Custom TypeScript services own the edges where vendor SDKs break.

orchestration

n8n

inference

Groq

state

Postgres

custom services

TypeScript

Let's scope your first agent

45-minute audit. Written deployment plan in 5 days.