Put the repetitive work on autopilot

The tasks your team does the same way every day — reading documents, generating reports, sending follow-ups — handed to an AI system that just runs.

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In plain English

What are AI automations?

An AI automation takes a repetitive task that normally needs a person — reading an invoice, summarizing an email thread, drafting a reply, turning data into a report — and lets software do it reliably at scale. Where a traditional automation just moves data, an AI automation can understand and produce language, so it handles the messy, judgment-light work that used to eat your team's hours.

What I build

Automations for the everyday grind

Document processing

Extract, categorize, and summarize data from PDFs, emails, invoices, and contracts.

Report generation

Turn raw data into clear, scheduled reports delivered to email or Slack — no manual assembly.

Content operations

Draft, repurpose, and format content at scale with your voice and guardrails.

Follow-up & comms

Trigger personalized follow-ups and routine communications at the right moment.

Outcome & ROI

Most teams lose 15–20 hours a week to tasks a machine should handle. Automating them converts that time back into capacity or margin — and removes the human error that creeps into repetitive work. Every build ships with validation, logging, and monitoring so you can trust the output.

Real example

DLS Logo Generator: ~200 → ~400,000 monthly visitors

REAL RESULT

What it is: an AI image generation tool I built for a client's Dream League Soccer content site — custom 512×512 club logos from text prompts (dlslogo.com).

What I did: identified a high-demand niche and built the AI tool as the site's main traffic engine — organic search and shares.

The result: monthly traffic grew from ~200 to ~400,000 visitors per month.

See it on case studies

FAQ

AI automation questions

What kinds of tasks can you automate with AI?

Anything repetitive and rules- or language-based: extracting data from documents, generating reports, drafting and sending follow-ups, categorizing inbound messages, and routine content operations.

How is this different from workflow & CRM integration?

Workflow & CRM integration connects your tools and moves data between them. AI automations add a layer of understanding — reading, writing, and deciding — on top of those flows. They often work together.

Will the output be reliable?

Builds include guardrails, validation, and human-in-the-loop checks where accuracy matters, plus logging and monitoring so you can trust what runs.

How fast can you ship an automation?

Many task automations ship in 1–2 weeks. We start with an audit to pick the highest-ROI one first.

Read: How to automate your business with AI

Stop doing what a system could run

Book a free Agentic AI audit. I'll find the repetitive work draining your week and automate the biggest wins first.

Book a free Agentic AI audit