AI automation and agents
Take the repetitive work off your team: AI automations and agents that follow up on leads, enter data, process documents and produce reports, built in code inside the systems you already use.
Start with the work, not the tool
Good automation starts with a job someone does every week that follows a pattern: copying details from emails into a system, chasing leads, preparing the same report, checking documents. I look at where the time actually goes, then automate the parts that are worth it.
Automation I have already built
Much of my work has been automating business processes, even before AI entered the picture. On Direct Credit Buyback, spreadsheet imports of more than 100,000 rows map their columns dynamically and run through a Python script, and email and SMS messages are scheduled and sent automatically. At DBQP Labs, Stripe webhooks drive payouts and subscriptions without anyone touching them.
Where AI adds something new
AI handles the steps that used to need a person to read and decide: understanding an incoming email, extracting details from a document, sorting requests by urgency, or drafting a follow-up. An agent chains those steps together and acts on them, with a person approving anything important.
Built in code, inside your systems
Tools like Zapier and n8n are great for simple connections. When an automation needs your business rules, your database and proper error handling, I build it in code inside your existing application, so it is reliable and you own it.
Common questions
How much does AI automation cost?
It depends on how many steps the process has and which systems it touches. Automating one well-defined task is a small project; a multi-step agent across several systems is a bigger one. Running costs depend on how often it runs, and I estimate them before anything is built.
What is the difference between an automation and an AI agent?
An automation follows fixed steps every time. An agent decides some of the steps itself, for example reading a request and choosing what to do next. Agents are more flexible but need guardrails, so important actions wait for a person to approve them.
Is it safe to let AI act on my data?
Only with guardrails. I give automations the minimum access they need, log every action, and keep a person in the loop for anything that moves money, deletes data or contacts customers.