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"Whether you're taking your first steps in AI or scaling existing initiatives, I'm here to help. Connect with me to learn how I can drive meaningful impact for your business."
Have questions?
Wondering if AI automation is right for your business? Let's talk about what this actually looks like in practice.
How quickly can we start seeing results?
Week 4, your first automation is running. By week 12, you're seeing 10-15 hours saved per week. It's not "implement for 6 months then flip the switch." You see incremental progress from week 4 onward.
How involved does our team need to be?
Week 1-2: 30-45 minute interviews with 3-5 people. Week 3-5: One person tests the first automation (2-3 hours total). After that? They just use simple interfaces. No ongoing technical burden.
We already have an IT team. Why do we need you?
Your IT team manages infrastructure and keeps systems running. I identify which workflows to automate, build the automation, and provide strategic guidance on AI opportunities. Different skill sets. Most IT teams aren't trained in AI implementation—and they're already busy.
What if the automation doesn't save as much time as expected?
We check in every 3 weeks during implementation. If something isn't delivering the projected time savings, we pause and figure out why before building more. You're never locked into automations that don't work. We adjust based on reality, not projections.
Do we own the automation or do you?
You own the outcome and the interface. I maintain the technical backend. Think of it like any other business service—you own your financial data, but your accountant manages the systems. You're paying for working automation, not code ownership.
We're not a tech company. Is this still relevant?
Especially relevant. AI automation works best for "boring" operations—invoice processing, data entry, follow-ups, reporting. If your team spends hours on repetitive work that follows patterns, this applies to you. Industry doesn't matter. Repetitive workflows do.
