Marketing automation that cuts the manual work.
Custom automation and AI pipelines that clean messy data, normalize CRM fields, route and score leads, and replace spreadsheet reporting. The result is less overhead, fewer errors, and more of your team's time spent on the work that actually moves the number.
Where AI actually earns its keep
The loud version of "AI in marketing" is a chatbot bolted onto a homepage. The valuable version is quieter and far more useful: the dozens of manual, error-prone steps between your data sources and a decision. That's where I focus, because that's where the hours, the mistakes, and the slow speed-to-value actually live.
Over the last several years I've built AI workflows that normalize inconsistent inventory and listing data across multiple sources into a single structured shape for analysis and downstream automation. The same pattern applies to almost any growth-stage operation drowning in mismatched data and copy-paste reporting.
What I build
- Data normalization & cleanup, reconciling messy records across sources (inventory, listings, products, CRM) into one clean, structured shape.
- Lead routing & scoring, getting the right lead to the right person fast, with scoring that reflects real fit, not just form fills.
- Follow-up automation, timely, relevant sequences that don't depend on someone remembering to hit send.
- Reporting pipelines, replacing fragile manual spreadsheets with automated reporting that just runs (pairs directly with attribution & reporting).
- Lightweight LLM tools, small, sharp internal tools that take a recurring manual task off your team's plate entirely.
Built for durability, not novelty
Automation that nobody can maintain is a liability dressed up as progress. I build on the tools already in your stack, keep human review exactly where judgment matters, and document what I ship. The bar is simple: it should remove busywork instead of adding a new thing to babysit.
The payoff
Hours back per week, fewer manual errors, and faster speed-to-value on every new program or launch, because the repeatable parts are handled and your people are spending their attention where humans actually add value.
Common questions
Is this just chatbots?
No. The highest-value AI work in marketing ops is unglamorous, normalizing messy data, deduplicating records, classifying and routing leads, and turning manual reporting into reliable pipelines. AI is a tool inside those workflows, not the point of them. See AI workflows for marketing that actually work for concrete examples.
Will automation hurt quality?
Done right, it improves it, removing error-prone manual steps and keeping human review where judgment matters. The goal is leverage, not a black box.
What tools do you build on?
Whatever fits your stack, common automation platforms, your existing CRM and warehouse, and LLMs where they genuinely help. Built for maintainability, not novelty.
Is this the same as a marketing automation consultant?
Similar problem, different model. A marketing automation consultant or MarTech consultant typically advises and hands the build off to your team. I work as an embedded operator who designs and runs the marketing operations and AI workflows directly, closer to fractional marketing operations or RevOps than a slide deck and a hand-off. More on that distinction in consultant vs. operator.
Give your team their hours back.
Tell me where the manual work is piling up. There's almost always a durable fix.
Book a 30-min intro →