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Case Studies
Case Studies
— Cases / AI-Multiplied Engineering · Delivery
Scaling Delivery with AI Agents
Our client's biggest customer yet needed a fast launch. No time to hire — so we multiplied the team they had with AI agents
AI Agents · Delivery
AI-Multiplied Engineering, Delivery, Engineering
Focus
AI-Multiplied Engineering
Agents
Coding · Testing · Docs
Launch
On time
Delivery
4× faster
I
— About the client
A SaaS company in the middle of its busiest year. Their biggest customer yet had just signed, and the timeline left no room to grow the team.
II · The brief
— Challenge
The launch required far more work than the team could deliver — even with overtime — and hiring was too slow.
— KEY OBJECTIVES
01
Onboard the new customer on time, without cutting scope
02
Increase delivery speed without growing the team
03
Keep code quality at the same level despite the pace
04
Fit AI agents into the team's existing tools and workflow
II
III · Our approach
— Solution
We built an ecosystem of AI agents around the existing team — so every engineer could deliver several times more, at the same quality.
step 01
Set up AI agents that write code, with engineers approving every change
step 02
Added agents that test the code and write the documentation
step 03
Integrated everything into the team's existing workflow — no process rebuild needed
III
IV · The outcome
— Results
Our client’s new customer was launched on time — with the same team. Work didn’t stop there: new feature requests keep coming, and the team keeps delivering them roughly 4× faster, at the same quality.
01
Launch
On time
02
Delivery
4× faster
03
Quality
Never compromised
04
Team
Same engineers, more output
VI
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