AI workflow automation — give your team their hours back.

Every SMB has the same problem: a handful of repetitive, time-draining workflows that quietly eat up your team's week. Customer intake. Quoting and proposals. Order triage. Inbox routing. Reporting. The work that has to happen but nobody actually likes doing.

This service is a hands-on engagement where I come in and build. We find those workflows, redesign them around AI, and ship automations your team will actually use — not shelfware that gets quietly turned off in a month.

Why product and UX rigor matters here

The hard part of AI automation isn't the model — it's making the workflow fit how your people already work. Most "AI automations" fail because they were built without thinking about handoffs, edge cases, or trust. I bring 18+ years of SaaS product and UX judgment to every build, so what we ship gets adopted instead of ignored.

Examples of what gets built

• Voice agents that handle inbound calls and free up specialists.
• AI-powered intake and triage that routes requests automatically.
• Quoting, proposal, and reporting generators tuned to your data.
• Internal copilots that pull from your knowledge base and CRM.
• Email and document workflows that draft, summarize, and tag at scale.

How an engagement runs

We follow a four-step process: Discover the highest-leverage workflows, plan the build (scope, sequencing, success metrics, total cost), build and teach alongside your team, then hand off with documentation and training so you own and can run what we shipped. Most engagements ship something real within weeks, not months.