AI Leveraged Technical Leadership
The judgment of a CTO. The output of an engineering team.
A senior technical leader embedded in your business, like a forward deployed engineer. Enso Dynamics takes accountability for the outcome and delivers it with an AI native method. Requirements come first, then agents do the building. You get the output of a team, without the free for all.
Senior judgment
Embedded, hands on, and accountable for the outcome.
A requirements first method
Requirements settled up front, with a set of AI skills that carries them through to tested code.
A system the agents run on
Work cut into phases, and a setup where agents carry each one through to completion on their own.
A team’s output
Agents building several projects at once, every phase tested.
When it fits
The plan is bigger than the team.
- 01
Your platforms are holding the business back, and the migration plan is bigger than the team you have.
- 02
You pay an agency or offshore team and can’t tell what you’re getting for it.
- 03
Your technical leader left, or you never had one, and hiring a CTO and then a team is a year you don’t have.
Case
Started over. Live in four months.
A national specialty retailer, with decades of catalog and e-commerce history, running on systems at the end of their life.
An offshore development team had 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.
Offshore development team
One Enso Dynamics engineer
What you get
A leader who answers for the result.
A technical leader who answers for the result
Architecture, platform and vendor decisions, security, the roadmap.
Delivery capacity without the headcount
A senior engineer directing AI agents builds, tests and ships the work.
Systems documented as they’re built
Requirements and designs live in your repositories, readable by the business.
AI where it earns its place
For a financial data platform, Enso Dynamics built the connection that lets its clients research its data through Claude, within the access their accounts already have. Work like that runs on the same roadmap, not as a side experiment.
How it works
From first week to shipped.
-
1
Get the lay of the land
Systems, vendors, contracts, team and risks, turned into a written plan with priorities.
-
2
Take the lead
Enso Dynamics takes on technical leadership and delivery. The roadmap becomes requirements and designs you can read and approve.
-
3
Build in parallel
Agents build phase by phase across several workstreams at once. Every phase is tested against real systems before it counts as done.
-
4
Keep going, or hand over
Stay on as your technical leadership, or hire a team that starts out working this way.
Let’s talk.
Have a modernization in mind?