You know AI matters for your business. You haven’t figured out where it actually fits.

Readiness audits, workflow builds, AI agents, integration work. For SMBs and ops teams who want AI that fits how they run.

14 years at Amazon and Flexport making big operations actually work. Now I help clients make AI work for them.

Book a 30-min scoping call →
14 years ops leadership
Amazon + Flexport scale operations
44 countries logistics orchestrated
Solo agency run entirely through AI

What I can build for you

Entry points below. Full scope, timelines, and pricing on Services.

“We have manual processes that should be automated. We don’t know where to start.”

Process Automation Assessment

In 1 week: a written assessment of your top automation opportunities, ranked by impact and feasibility. One call in, async analysis, one call out. No multi-week discovery sprint.

If you’ve already turned on Claude for Small Business, Copilot, or another pre-built, the assessment tells you what they cover for your case and what needs custom work. If you haven’t, it tells you whether one would fit before you spend on tools.

Next step: a workflow build, AI agent, or back-office automation — quoted at the debrief call.

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“We built an MVP with Lovable, Cursor, or Replit. Now it needs to survive production.”

Prototype → Production Assessment

In 1.5–2 weeks: an architecture review of what you actually built. Auth, data handling, scaling, monitoring, security, regulated-shape compliance fit. Multi-stakeholder format: kickoff with founder, tech lead, and ops or security; code walkthrough; written review delivered as a roadmap; 60-min debrief.

Top-5 gaps ranked catastrophic / serious / monitor. What to fix in 30 days, what to queue for 30–90, what to defer with eyes open.

Next step: build the gaps directly, or advisory while your team executes the roadmap.

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“Our team uses AI tools and nobody’s actually in charge of how.”

AI Governance Audit

In 1 week: an audit of who’s using what AI tools, where the data flows, and what your real risks look like. Decision authority, data handling, code review pipelines, policy gap analysis. Delivered as a working framework, not a PDF that gets filed and forgotten.

Next step: roll the framework into your team, or run an ongoing review cadence. If you have a compliance horizon — SOC 2, GDPR, the state AI laws landing in 2026 — the audit names what to fix first.

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“One or two workflows are eating my team’s week.”

Workflow Automation Build

In 1–2 weeks: one end-to-end workflow built and deployed on your stack. n8n, Zapier, custom API, whatever you’re running. Failure-mode handling so it doesn’t break silently. Runbook so your team can operate it without me.

If a vendor pre-built handles your case, I’ll tell you and you save the money. Most of the time it doesn’t — the workflow sits between systems they don’t connect, or runs on logic they don’t encode.

Next step: more workflows, an embedded AI agent, or a monitoring retainer to keep what’s running healthy.

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“Things break and we don’t find out until a customer tells us.”

Monitoring + Self-Healing Setup

In 1–2 weeks: a monitoring layer wired into your stack. n8n, Zapier, custom APIs, your database, whatever you’re running. Alert routing so the right person hears about the right thing. First-pass self-healing logic on your top 3 failure modes.

Next step: an ongoing monitoring retainer, expanded self-healing coverage, or a full reliability sweep across your stack.

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How I work

Scope and requirements before build begins. Work ships tested, with documentation your team can use. Regular check-ins throughout. Four frameworks I bring into client work: