AI Transform

Become AI Native

We are engineering leaders who partner with you to accelerate your transformation from legacy software development to the efficiency of AI-powered development.

Agentic Development

We have experience integrating agents across dozens of workflows—you get our pattern-matching, not trial and error. We help you find the highest leverage points to deploy agents.

AI-First Tech Stack

We help you cut through the hype to choose AI tools that fit your existing tooling and compliance requirements. We track what's emerging and what's stabilizing—we stay current so you don't have to.

AI Efficiency Metrics

We help you define the right metrics to quantify ROI and track AI adoption. You get a high-fidelity feedback loop to accelerate what's working and fix what isn't.

Many leaders feel pressure to move faster with AI—but lack clarity on the challenges of applying AI to mature codebases.

We're Here to Help

Who We Are

We use our operating experience to help you find practical AI strategies you can apply immediately.

Matt Lerner

Matt Lerner

Matt was the SVP of Product & Design and VP of Engineering at Redfin through the IPO. Matt has founded and sold startups to Redfin and Microsoft.

Matt recognized the need for an AI-native consultancy while working as an executive coach for engineering leaders.

Dave Peck

Dave Peck

Dave was an engineering leader at Pioneer Square Labs for five years where he worked with many AI-first startups. Dave has founded and sold startups to Microsoft and Stackpath.

Dave focuses on AI-powered data pipelines and agentic development best practices.

We've Previously led engineering at

Redfin
Microsoft
Pioneer Square Labs
Walk Score
Brown University

How We Work

We don't write your code—we partner with your engineering leadership to build the strategy, select the tools, and establish the metrics that make your team AI-native.

1

Start with an AI Readiness Assessment

What it is

  • A short, focused engagement to identify AI leverage points
  • Designed for mature teams with 10+ engineers where "just add AI" doesn't work

What we do

  • Review workflows, tooling, and development practices
  • Light codebase and architecture review (no deep audits)
  • Interviews with engineering leadership and senior ICs

What you get

  • 3–5 high-leverage AI opportunities specific to your team
  • Clear recommendations on where not to use AI
  • A practical roadmap for becoming AI-native

Logistics

  • 2–3 weeks
  • Fixed price
  • No long-term commitment

Not sure if this is the right starting point? A short introductory call will help you decide.

Ready to go deeper? We partner with you through implementation and scale.

2

Deploy Agentic Workflows

  • Implement AI in high-leverage workflows
  • Establish agentic development practices
  • Enable teams without disrupting delivery
3

Scale to an AI-Native Model

  • Expand across teams
  • Track adoption and efficiency with operating metrics
  • Align org structure, incentives, and tooling

Client Results

Matt increased the leverage of our product and engineering teams as we integrated AI into our workflows. He guided us towards a metrics-driven approach with clear KPIs grounded in customer impact. Execution velocity is rising.

Xiao Wang

CEO, Boundless

Matt brings an operator's perspective to AI and development workflows. He understands how engineering teams actually work—especially in mature codebases, where less considered AI adoption can introduce real deployment risk.

Kevin Turco

Former VP Product, Instructure

Get in Touch

Let's find the right starting point for your team.