Where agents fit
The workflows we build and run in production for mid-market operations. Each page has the problem it solves, the approach, and the controls that keep a human in the loop.
- AI agent vs hiring
Hiring vs an AI Agent: Scope the Role Before You Compare Cost
Deciding between an AI agent and a hire is not a pricing question. Work out which hours in the role are genuinely repeatable, cost the hire the way an accountant would, and be specific about what stays human. Once the scope is honest, the cost comparison answers itself.
- AI operations integration
AI operations integration
AI operations integration connects ERP, CRM, inboxes, spreadsheets, and approvals into one workflow, automates the repetitive steps, and keeps a human on the calls that need judgment. A working system, not a SaaS login.
- Audit trails
Audit trails
Audit trails turn automated work into something you can answer for. Every action is logged, attributable, and reversible, so an incident becomes a recoverable event instead of a forensic dead end.
- Built for AI agents
Make Your Business Usable by AI Agents
Making a business usable by AI agents takes three concrete moves: exposing capabilities as callable tools, shaping data to fit an agent's limited context, and gating access by permission and cost. Most sites and internal systems are built for screens, not tool calls, and the gap shows up the moment an agent tries to act.
- ERP / CRM handoffs
ERP / CRM handoffs
ERP / CRM handoffs connect the work between revenue, finance, fulfillment, service, and the apps around them, so people stop re-keying data, reconciling records, and chasing status by hand.
- Human-in-the-loop AI
Human-in-the-loop AI
Human-in-the-loop AI keeps a person on the calls that need judgment, but only if the checkpoint is built with confidence gates, surfaced uncertainty, and real override. A reviewer who rubber-stamps the AI is not a checkpoint.
- Local AI without the cloud
Local AI without the cloud
Local and hybrid AI keep sensitive work on hardware you control while still getting real value from models. The stall is rarely budget or skill. It is the assumption that useful AI must leave the building.
- Loop engineering
Loop engineering
Loop engineering is the discipline of turning a recurring agentic task into something you can trust with real operations: state, confidence gates, audit trails, human override, and recovery, not just a longer prompt.
- Mid-market operations
Mid-market operations
Mid-market operations work treats AI as an integration job, not a shopping job. We connect the systems you run, automate the repetitive steps behind controls, and maintain the result so the spend turns into revenue and saved hours.
- Operating an autonomous company
Operating an autonomous company
How to run a company where agents handle real work: durable state, confidence gates, human authority on consequential calls, and receipts you can audit, not a fleet of unsupervised chatbots.
- Workflow automation
Workflow automation
Workflow automation coordinates work across CRM, ERP, inboxes, spreadsheets, approvals, and people, with controls around every automated step.