AI native engineering leadership.

Several times the output.
Clear accountability for all of it.

Enso Dynamics brings senior technical leadership and an AI native way of building software into your business. AI does the volume, without the slop. A senior engineer answers for the requirements, the tests and every release.

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What we do

Two ways to work together.

Lead and deliver the work directly, or change how your own team builds software.

AI Leveraged Technical Leadership

The judgment of a CTO. The output of an engineering team.

Senior technical leadership embedded in your business, directing AI agents to do the work that used to need a full development team.

When it fits

  • A modernization is bigger than the team you have.
  • You pay for a development team and can’t see what you get for it.
  • You need a technology leader who builds, not one who hires and waits.

A full offshore team

2 years, never live

One engineer with AI agents

Live in 4 months

An offshore development team spent two years on an ERP migration that never went live. One Enso Dynamics engineer, directing AI agents, started over using their code only as reference, and replaced the ERP back end and the e-commerce storefront at the same time. The new ERP and the new Shopify Plus store went live on the same day, four months in.

AI Native SDLC Transformation

Your whole team, building at AI speed. Without the mess.

Like the Agile transformations before it, this changes how the whole organization builds software, not just which tools developers use. It means requirements first, the systems that do the building, and the foundations underneath.

When it fits

  • AI has been bolted onto the existing process, with no new SDLC behind it.
  • Developers each pick their own harness, skills and habits, and no one has set a direction.
  • More code is shipping, and review backlogs and production bugs are growing with it.

Before

AI bolted onto the old process

After

A lifecycle built for AI

Built on the Enso Method, open source and published in full. Your team delivers a real project the new way during the engagement.

The engineering model

High leverage. Clear accountability.

10×
Our ambition for engineering leverage.The method is built to get there.
1M+
Lines of code in four weeks, a quarter of it tests.Code, tests and docs, generated files left out.
16
Projects moving at once.One engineer directing the agents.
Accountable
AI writes the code. A senior engineer answers for it.The requirements, the review, the tests and the release.

From a measured four week case study. Read the case study

The method

No lock in. The method is open source, and the work is yours.

Both offers run on the Enso Method, the open source methodology Enso Dynamics uses to build software with AI coding agents. Everything an engagement brings to your team is published, including the requirements standards, the review loops and the testing rules.

Read it before you decide, and keep using it after the engagement ends.

The Enso Method

Clear requirements in. Tested software out.

DecideRequirements, design and open questions, refined until they’re ready to build.
BuildWork cut into phases an agent builds straight through.
ProveEvery acceptance criterion backed by a test against real systems.

How engagements work

Built so you can defend the decision.

01

Scoped to an outcome

Every engagement is defined by what will be different at the end.

02

Proven, not promised

Every acceptance criterion is checked by a test against real systems before the work counts as done.

03

Everything written down

Requirements, designs and decisions live in your repositories. You own them, and the next engineer can pick them up.

04

Fits your systems

The work follows your stack, standards and deployment process, or puts them in place where they’re missing.

Doug Kerwin

About

Led by Doug Kerwin.

Doug is a senior technical leader who still builds. At Prudential Financial he was responsible for production cloud infrastructure across AWS, Azure and Google Cloud for every business unit, and launched some of the company’s first generative AI systems. At Billtrust he led the move from a fully on prem monolith to more than 150 cloud native microservices on AWS. Today he directs AI agents every day, across client work and his own products. Enso Dynamics puts strategy, architecture and hands on delivery in the same engagement, often in the same week.

Track record Enterprise cloud and platform engineering Cloud native modernization Production generative AI AI native software delivery Regulated financial services E-commerce, as founder and operator
Author, The Enterprise Vibe Coding Playbook ↗ Creator, the Enso Method ↗ Former VP Cloud Engineering and SRE, Prudential Financial Co-founded FramedArt.com and grew it to nearly $10M in revenue

Contact

Let’s talk.

Tell us what you’re working on and what you’d like to change. If it looks like a fit, the next step is a conversation to talk it through.

Which fits better?