AI Automation
I build AI automation that does real work — not chatbots for their own sake. LLM agents that classify and route inbound messages, workflows that draft and send responses, and triggered systems that act on structured data instead of waiting for a human to copy it between tools.
What I build
Lead-reply classifiers that read inbound messages, detect buying intent and hot keywords, then route the conversation to the right pipeline stage and notify the team instantly.
Document and data extraction agents that pull structured fields from emails, forms, and attachments and write them into your CRM or database without manual entry.
AI-assisted drafting and personalization inside nurture sequences, with human review where it matters and full automation where it doesn't.
How it fits your stack
AI is wired into the systems you already use — your CRM, your ad accounts, your spreadsheets — through webhooks and APIs, not a separate dashboard you have to babysit.
Every automation is observable: you can see what the model decided, why, and what it did next. No black boxes in production.
Frequently asked
What can AI automation actually do for my business?+
The highest-ROI work is usually classification and routing — reading inbound leads, messages, or documents, deciding what they are, and pushing them to the right place. It removes the manual triage that slows teams down.
Do I need a custom model?+
Usually no. Production AI automation is built on capable foundation models with good prompting, structured outputs, and solid guardrails. Custom training is rarely worth the cost until you have a specific, repeated problem the base models can't handle.
How do you keep AI automations from going off the rails?+
Structured outputs, validation at every step, human-in-the-loop checkpoints for high-stakes actions, and logging so every decision is auditable. The automation fails safely and visibly, not silently.