Your teams use AI, but your rules haven’t caught up
In most enterprise IT departments we talk to, some developers use AI coding tools like Copilot or Cursor every day; others are not allowed to, and nobody has agreed on the rules. You are accountable for the risk, but you cannot see how AI is used, and your lifecycle on paper still describes how software was built before these tools arrived. Here’s what it looks like on the ground.
Pockets of use
A few developers move faster with AI while the rest work the old way. You can see commits and lines of code climb, but not whether that means better software or just more of it.
Unclear rules
Developers do not know which tools are approved, which code or data may go into a prompt, or who reviews the changes the AI writes.
An SDLC that no longer fits
Planning, review, testing, and release were designed for teams where people wrote every line themselves.
Ekipa helps you build an AI-native SDLC: we decide with you where AI fits in each step of how you build software, then work with your teams until it runs on its own.
How we help your engineering teams
Why IT leaders work with us on this
Agile delivery experience
Since 2016, we have coached software teams in banks, insurers and enterprises across Indonesia, Singapore, and Malaysia on how they plan, build and release.
Engineers who build with AI
Our engineering team builds client software with AI coding tools, using the same methods we teach your teams.
Regulated environments
We write procedures for regulated environments, where every change needs an owner and an audit trail.
Built on our AI delivery frameworks
Three frameworks give your teams a shared method: SYNC for how the team works, BAS for what the AI works with, and TRACE for checking that the software stays sound as AI-assisted changes add up. View Frameworks