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09 ORIGIN
03.02 / Intelligent Automation

Agents that ship work.

Not chatbots. Workflow engines that classify the ticket, route the work, draft the response, and close the loop. Embedded into the systems your team already runs.

The pattern

Not chatbots. Workflow engines that close the loop between insight and action.

Custom agents, RAG pipelines, document intelligence, classification and routing — embedded into the ERP, the CRM, the helpdesk. Agents read the data, take the action, and surface the result back to the operator who needs it.

Agents that take action

Read the ticket. Classify the bucket. Route to the right operator. Draft the response. Close the loop.

RAG pipelines, your data

Your SOPs, your knowledge base, your historical tickets. Indexed, retrievable, never trained on by anyone else.

Document intelligence

POs, invoices, packing slips, contracts. Parsed, classified, structured into the system of record.

MCP-native by default

Connect Claude, Cursor, Goose, ChatGPT — any MCP client — to your operating data. Open standards, no lock-in.

02 / The stack

The stack beneath the agents.

No proprietary black box. Open standards at the integration layer, your systems as the source of truth, and one operating model holding it together — so you keep optionality as the AI landscape shifts.

LAYER 01

Your systems

ERP, CRM, helpdesk, documents, calls. The source of truth stays where it lives — agents embed into it, never beside it.

LAYER 02

MCP integration layer

Claude, Goose, Cursor — any MCP client — connected to your operating data through open standards. Swap models without rebuilding. No lock-in, by design.

LAYER 03

Incipient OS

Humans and agents on one queue. Every automation observable, measurable, and calibrated to your operators — with a person accountable for every loop.

03 / How we engage

One automation at a time, until it compounds.

You don’t start by designing the operating system. You start with the lever that gets a team five hours back a week — then the next one. Each agent runs the same loop, and the loop is the engagement model.

STEP 01

Deploy

Live in week one against a named workflow and a measurable lever.

STEP 02

Calibrate

Tuned to your operators — role-based access, guardrails, escalation paths.

STEP 03

Integrate

Hybrid by design — agents alongside your team on the same queue, connected, not replaced.

STEP 04

Scale

Autonomy as earned. As one agent matures, the flywheel turns for the next.

Impact-sized · scoped per loop · no long contracts for no reason

Outcomes that ship
40+
Active clients
12+
Years on market
55+
Professionals
3
Office locations
See selected work →

What should close the loop?