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AI in the workflow

AI that does real work in your business.

An assistant that knows your business, an agent that uses your tools, AI inside the product you already run, or a system your other software can call.

I build these across different scopes and scales. You get the system, and everything you need to run it and decide what comes next.

One shape it can take

A system you can ask, wired into your tools

Here it reaches a calendar and an inbox, and holds the draft for a person. Yours is built for your work, and it can hold or run on its own.

Ask

Reaching real tools, then holding for a person.

Ready

Send

You set the line between what runs and what waits for you.

What I can build

The shape depends on the work.

Some of these are a single task. Some are a platform your other software calls. The tools in this space change every month, and keeping current with them is part of the job you are hiring for.

An assistant that knows your business

It answers from your documents, your data, and your history, so the response fits how your business actually works.

An agent that uses your tools

Wired into the calendar, the inbox, the billing system, or anything with an API, through MCP or a direct integration.

AI inside what you already run

Drafting, sorting, matching, summarizing, and scoring, built into the screens your team already opens every day.

Work that runs at volume

Hundreds of records, documents, or messages handled on a schedule, with the exceptions pulled out for a person to look at.

Your system as an API

What I build can be exposed as an endpoint, so your other software, your team, or your clients can call it directly.

A review gate where it matters

When the stakes are high, a person approves before anything moves. When they are low, it runs on its own. You set the line.

How it connects

It reaches your tools and shows up where you work.

The same system can answer in a chat, run quietly on a schedule, and expose an endpoint your software calls. You are not locked into one way of using it.

What it works with

  • Your documents and notes
  • The database behind the business
  • Inbox and calendar
  • Billing and payments
  • Any API or MCP server

The system I build

ReadsPulls only what the task needs.
DecidesApplies your rules, not generic ones.
ActsWrites, files, books, or answers.
LogsLeaves a trail you can check.

Where it shows up

  • A chat your team can ask
  • Inside the app you already use
  • On a schedule, without being asked
  • An API your other software calls

How we work

You tell me what the work is. I build the system for it.

01

I start by listening

What the work is, what it costs you, and where judgment has to stay human. The architecture comes out of that conversation, not a template.

02

Built for your business

Your data, your tools, your rules. I choose the models and the design for the job in front of us, and build it to hold up when the week gets loud.

03

You leave knowing how to run it

Documentation, a walkthrough when it helps, and the thinking behind the decisions. You can operate it, explain it, and choose what comes next.

What's included

AI in the workflow

Scoped after we see the work · Private proposal after we talk

A working AI system built for your business, and yours to run.

  • A system designed for your work, your data, and your rules
  • Connected to the tools you already use, through APIs or MCP
  • Human approval where the stakes call for it, automatic where they don't
  • Documentation and a walkthrough so your team can run it
  • The thinking behind the decisions, so you can choose what comes next

AI Coaching

Want AI coaching instead?

I teach the tools and judgment I use to ship. Hourly, after we see your gaps.

AI Coaching →

Ready when you are

Send a short note about the work you want AI to handle. If it's a fit, I'll follow up with next steps.

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