SDLC ^ AI
Your engineers already write code with AI. It’s time the rest of your software delivery lifecycle caught up.
SDLC ^ AI moves you beyond pilots with four accelerators that run inside the tools your team already has. Built for engineering teams moving beyond AI experiments, it keeps agents within your architecture, review process and security standards from the first sprint.
Work with a focused 4-6 week sprint to prove AI in your engineering environment.
ChatGPT made AI look easy.
Type a prompt, get a working prototype in an hour. That first impression was misleading.
Most of those prototypes never make it to production. They stay on someone’s machine, outside the normal review process and security controls, until they’re forgotten. Or until they find their way into production without the oversight they needed.
Speed without a system is chaos with a head start.
We seek more than
productivity (see: dominance)
SDLC ^ AI goes beyond code-writing speed. It’s value-proposition is very-much grounded in business. Cheaper failure, faster iteration, smarter product direction and a wider (and wider, and wider) gap between adopters and laggards. Full, end-to-end adoption that integrates AI across the SDLC for outsized gains is where we win.
CHANGE LEAD TIME
The time it takes for a commit to get into production.
DEPLOYMENT FREQUENCY
How often the team / organization successfully releases to production.
CHANGE FAILURE RATE
The percentage of deployments causing a failure in production.
DEVELOPER HAPPINESS
Qualitative satisfaction feedback gathered through regular surveys.
CYCLE TIME
Time it takes to complete a task, from start to completion.
CHANGE LEAD TIME
The time it takes for a commit to get into production.
DEPLOYMENT FREQUENCY
How often the team / organization successfully releases to production.
CHANGE FAILURE RATE
The percentage of deployments causing a failure in production.
DEVELOPER HAPPINESS
Qualitative satisfaction feedback gathered through regular surveys.
CYCLE TIME
Time it takes to complete a task, from start to completion.
Chatgpt made ai look easy.
AI-native engineering at scale isn’t.
It demands new flows, new ops, new skills and a team that wants to build differently. we can help.
We focus on holistic engineering
transformation for value unlock
End to end, our AI-integrated SDLC rethinks how software is built to drive measurable gains in speed, quality, and adaptability. In a market where speed to change defines leaders, we are codifying the tools, prompts, and processes that unlock an unfair engineering advantage in partnership with our clients.
Ideation & Requirements
Ideation & Requirements
Design & Prototype
Design & Prototype
Code Writing
Code Writing
Quality Engineering
Quality Engineering
Project Delivery
Project Delivery
Operations & Management
Operations & Management
Adoption needs an engine
big in our approach: forming a central engineering-enablement hub to drive change
Sandbox, validate new ways, create the business case, enable champions to train and scale. Always grounded in real projects.
- Focus on people-first adoption, not just tools
- Build clear measurement and tracking to prove impact
- Drive behavior change at scale across your engineering team
- Enable faster tool evolution through tight feedback loops
- Promote continuous learning as tooling evolves
Adoption needs an engine
BIG IN OUR APPROACH: FORMING A CENTRAL ENGINEERING-ENABLEMENT HUB TO DRIVE CHANGE
Sandbox, validate new ways, create the business case, enable champions to train and scale. Always grounded in real projects.
- Focus on people-first adoption, not just tools
- Build clear measurement and tracking to prove impact
- Drive behavior change at scale across your engineering team
- Enable faster tool evolution through tight feedback loops
- Enable faster tool evolution through tight feedback loops
SKIN IN THE GAME, WITH OUR internal adoption program
Beyond transformation embedded in client projects, we’re proactively and continuously upskilling our team across competencies through AI adoption. Through The Wizeline AI Adoption Engine we seek to prioritize AI Tooling adoption in the heart of everything we do.
%
INVOLVEMENT
Our entire global workforce now plays a role in this adoption engine. That means training attendance, discourse contribution and more.
%
AI LEADERS
Our internal AI Adoption Profile, which scores our workforce into 5 levels of AI adoption maturity, now puts 62%+ of our people as highly-active users.
KEEP UP WITH OUR KEEPING UP
Monthly, our AI Adoption Engine publishes Playbooks for the latest AI tooling, lightning talk webinars, demos and more. Get it all in our monthly digest.
KEEP UP WITH OUR KEEPING UP
Monthly, our AI Adoption Engine publishes Playbooks for the latest AI tooling, lightning talk webinars, demos and more. Get it all in our monthly digest.
Discover your
Passion
Partner
Connect with Wizeline
Discover your
Passion
Partner
Connect with Wizeline
