AI Implementation Consulting

AI that works starts with understanding what it's good at.

No magic bullets. The biggest AI advantage isn't just building AI features. It's using AI to ship faster with higher quality. I help your organization build that muscle, from AI-powered engineering workflows to production AI capabilities.

20+
Years shipping production software
$4M+
ARR from zero-to-one products
6
Products taken from idea to shipped

Use AI to ship better. Build AI into what you ship.

AI Readiness & Strategy

Assess where AI can accelerate your engineering and what AI capabilities are worth building. Not a slide deck. A prioritized roadmap grounded in what AI actually excels at today.

Engineering Acceleration

Integrate AI into your development workflow so your team ships faster with higher quality. Discovery, code review, testing, documentation. The tools and practices that make AI a daily engineering advantage.

AI Feature Implementation

When AI belongs in what you ship, I build it alongside your engineers. From context engineering to production deployment, with the product discipline to make it a real capability, not a demo.

Embedded partnership, not a black-box deliverable.

Discover

Deep dive into your organization, tech stack, and team dynamics to identify AI opportunities worth pursuing and the blockers standing in the way.

Prototype

Rapid proof-of-concept to validate the approach, measure real impact, and build confidence across engineering and leadership.

Build

Production implementation alongside your engineers. Your team builds the capability, not just the feature.

Transfer

Your team owns the outcome. Not just the code, but the organizational muscle to keep shipping AI independently.

Flexible engagements that meet you where your AI effort is today.

Engineering depth. Product discipline. AI pattern recognition.

Josh Thomas

Josh Thomas

Founder, Catalyst 5010

Madison, WI

I'm Josh Thomas. Twenty years building production software, five years in product management, and two years watching organizations succeed and fail at AI adoption. That combination is the point.

The engineering depth means AI features I help build actually ship. The hard part is never the model. It's the integration, the deployment pipeline, the error handling, the developer experience. Twenty years of shipping software is why that part works.

The product experience means every AI capability connects to a user need and a business outcome. I took Ionic Portals from concept to $2M ARR. I led AI-powered design-to-code tooling. I know the difference between technology that's interesting and products that matter.

I started Catalyst 5010 because I kept seeing the same pattern: organizations struggling to use AI effectively, whether that's accelerating how they ship or building AI into what they ship. The problem is almost never the technology. It's the gap between understanding what AI is good at and putting that understanding to work. That's what I close.

I've built products at venture-backed startups, mid-size SaaS companies, and publicly-traded enterprises.

Production AI engineering
Zero-to-one product launches
AI adoption & readiness
Developer tools & SDKs
Startups through enterprise scale

AI isn't slowing down. Is your team keeping pace?

AI capabilities improve every quarter. Teams set up to ship are pulling further ahead. Let's talk about closing the gap for your organization, without the hype.

Book a 30-Minute Call