AI systems for companies

I work with founders and teams to understand where the business is going, then design and deploy the AI systems that help the company get there.


Three ways I work

Company Brain. One shared AI agent your team uses through Slack or Discord. It brings together company knowledge, connected tools, permissions, and repeatable skills so people can ask questions and get work done without learning another interface. This is usually a one-time deployment with ongoing maintenance.
Autonomous systems. An agent runs a defined workflow from a trigger: collecting inputs, using connected tools, following rules, and bringing a person in where judgment or approval is needed.
Fractional forward deployed engineer. I work with the company on an ongoing basis, close to the team and the real problems. We identify the next valuable system, build it, watch how it performs, and improve it before moving to the next one.

You do not need to know which option you need before we speak. The first call is where we work out the right starting point.


I start with the business, not the technology

I can sit with a founder, understand where the business is going, help clarify what should change, and turn that direction into a system the company can actually use.

That means working across the organization. I can talk with developers about implementation, with marketing about decisions and output, and with operations or product about the process around it. My role is to keep those worlds connected so the build never loses the business goal.

Ecommerce is where that range is deepest. I understand the whole business, with marketing as my strongest area. But the value is broader: understanding a company as a system and translating between the founder, the teams, and the technology.


Who I work best with

Usually an eight-figure company, with enough people, tools, and repeated work for a good system to matter
A founder with a clear ambition, or the willingness to clarify it with me
A team that communicates openly and wants to implement, test, and move quickly
Ecommerce is the strongest fit, but other innovative companies can work when I can learn how the business operates

What deployment involves

Your existing tools. I connect the system to the stack your team already uses instead of adding software for the sake of it.
Controlled access. We start read-only where possible, define permissions clearly, and add write access as the system earns trust.
Human judgment. Automation does not mean removing people from every decision. The system escalates the moments that need context, approval, or taste.
Adoption and maintenance. A system only matters if the team uses it. I deploy close to the people doing the work and keep improving it after launch.

Everything starts with a call

The call is for understanding what the company wants to achieve and deciding whether I am the right person to help. It leads to one of four outcomes:

Direct deployment. If the need is clear and bounded, we scope the system directly. This is common for simpler Company Brain deployments.
Paid audit. If the business or workflow is more complex, I first map the process, tools, permissions, bottlenecks, and risks. This can apply to a Company Brain or an autonomous system.
Ongoing partnership. If the company needs several systems over time, we discuss a fractional role inside the team.
No project. If I am not the right fit, or the timing is wrong, I will say so.

Start with the business.

Email me with a little context about the company and what you want to make possible. I will reply shortly and, if it looks like a fit, we will set up a call.