Shawn Duggan

Get your engineering team working with AI, not around it.

Most teams already use AI, but the results vary from person to person. I help you improve how your team builds, reviews, tests, and releases software, so you can ship faster without giving up quality.

Book a free intro callTake the self-check

Where many teams are

  • AI tools are everywhere; results vary by person
  • Some engineers use them well, others hold back
  • Practices vary from team to team
  • Adoption is tracked, but delivery outcomes often aren't

Where the best teams are heading

  • Agents that do real work with minimal hand-holding
  • Standards, tests, and guardrails that make that safe
  • A process the team improves every cycle
  • Clear goals, and outcomes leaders can see
Shawn Duggan

A former CTO who fixes delivery.

I'm Shawn Duggan. I've spent 30 years in software, from writing code to leading engineering as a CTO. What I do best is help teams ship faster, more predictably, and with higher quality.

  • Raised throughput 30–40% in one organization while making delivery more predictable, with automated deployments several times a day.
  • As CTO, led engineering through a SaaS company's move to AI-assisted development.
  • Built and ran software in regulated settings: digital health platforms handling patient data, and SaaS under SOC 2 and ISO 27001.

More about meLinkedIn

AI only gives you more of what you already have.

If delivery is slow, unpredictable, or fragile, AI helps you produce more of it, faster. The teams that get the most from AI fix the foundation first, and that foundation is exactly what agents need before they can take on real work.

  1. Idea
  2. Write codeAI speeds this up
  3. ReviewWork piles up
  4. TestWork piles up
  5. Deploy
AI speeds up writing code. If review, testing, and deployment were built for human pace, work piles up there instead, and quality pays for it.
  • A steady flow of work, with commitments that land when you said they would
  • Automated testing and deployment, so any day is a safe day to ship
  • Clear requirements and ownership, from idea to production
  • Quality built in, not inspected at the end
  • Measures that matter: lead time, change failure rate, and recovery time

Three ways to work together

One to three days a week, from three months

Fractional AI transformation lead

I work inside your team to lead the change: fixing delivery basics, coaching your leaders, setting workflows and standards, and building toward agents that do real work. Also available as a fractional CTO.

How it works

Typically two to four weeks

AI engineering assessment

An honest read of your delivery foundations and where your team really is with AI, including risk, security, and data privacy, with a 90-day plan for what to change first.

About the assessment

Typically one to two weeks

Technology decision review

An independent look at one decision, such as an AI platform or vendor, a rebuild, or a key hire, with a clear recommendation and the reasoning behind it.

About the review

Where is your team with AI?

A short note about your team and what you're trying to change is enough to start.

Book a free 30-minute callSend an email