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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

Engineering team scaling delivery with AI agents
AI Agents · Delivery
AI-Multiplied EngineeringDeliveryEngineering
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
  1. 01Onboard the new customer on time, without cutting scope
  2. 02Increase delivery speed without growing the team
  3. 03Keep code quality at the same level despite the pace
  4. 04Fit AI agents into the team's existing tools and workflow
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 01Set up AI agents that write code, with engineers approving every change
  • Step 02Added agents that test the code and write the documentation
  • Step 03Integrated everything into the team's existing workflow — no process rebuild needed
AI coding, testing, and documentation agents assisting engineers
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.

Launch
On time
01
Delivery
4× faster
02
Quality
Never compromised
03
Team
Same engineers, more output
04
Contact

Let’s multiply your delivery.

Tell us about your roadmap. We’ll deliver it with engineers amplified by AI agents.

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