AI Agent Development
AI agent development services that end in your environment.
We design, build, and supervise AI agents that do defined jobs inside your business — deployed in your cloud environment, owned by you.
Built with the leading AI platforms
NVIDIA
Anthropic
The broken Friday
Every growth plan ends in a hiring plan.
From operators we have sat with: the president of a PE-backed manufacturer — seven ERPs across the business units, a growth mandate from the sponsor, and a back office that only scales by hiring.
SG&A grows as fast as revenue
Every new business unit adds the same back-office roles. The margin story the sponsor underwrote gets thinner each quarter, and hiring is the only lever anyone pulls.
Seven ERPs, one manual roll-up
Each business unit keeps its own books in its own system. The consolidated view is assembled by hand before every board meeting, and nobody fully trusts it.
Pencil-and-paper holdouts
Processes that never made it into any system — order intake, shop-floor logs, approvals — get re-keyed, chased, and checked by hand, every day.
The next hire is always the plan
Every workflow fix ends in a requisition. The org chart grows because nothing else absorbs the work — and the AI workers vendors demo never survive security review.
The org chart of bots
A vendor demoed named chatbots instead of new hires — AI staff on an org chart, until someone asked who supervises them and where they run.
What manual costs
Headcount is the most expensive way to scale.
What the manual scaling plan looks like inside a PE-backed manufacturer today. Your numbers will differ — the first week of an engagement puts figures on yours before anything gets built.
From an anonymized engagement — a PE-backed capital-equipment manufacturer
How it works
Hire an AI employee before you hire the person.
Agentic AI implementation starts with the role, not the model: pick one job, encode its rules, put the agent to work under supervision, then earn the second role on the first one’s numbers.
- 01
Pick one role. Shadow the work.
We sit with the team doing the job today — order entry, report assembly, data re-keyed between systems — and write down the rules it actually runs on.
- 02
Build the agent in your environment
Built against your systems and your rules, deployed in your cloud environment. No seat licenses, no vendor data model — the agent and the IP are yours.
- 03
Supervised, with your feedback loop
The agent runs human-in-the-loop: routine work flows through, exceptions route to your people, and we stay on supervision as the rules evolve.
Agentic AI consulting should end in a working agent, not a subscription.
Off-the-shelf bot subscriptions rent you a seat in someone else’s product: generic rules, their roadmap, their cloud. When you cancel, the capability leaves with the subscription.
We are an AI implementation services firm: our team builds the agent against your rules, deploys it in your cloud environment, and hands over the IP. You own the machine.
Led by Peter Enestrom.
Questions
Asked by the unofficial AI person.
The straight answers, before you book anything.
What’s holding your business back?
A workflow ready for automation. An AI product you want to build. A problem that has sat on the roadmap for years. Let’s talk about what it would take to solve it.
Talk to Zaigo