The Problem
What It Looks Like
- • Roadmap has 50 features, team can deliver 10
- • Hiring pipeline is slow or expensive
- • Adding engineers doesn't increase output proportionally
- • Senior engineers spend time on routine tasks
- • Quality degrades as you try to move faster
What It Costs
- ✕ Missed market opportunities
- ✕ Slower response to competitive threats
- ✕ Engineer burnout from overwork
- ✕ Quality issues from rushing
- ✕ Technical debt compounds
The Real Risk: In competitive markets, speed wins. If competitors ship 3x faster, they learn 3x faster. The capability gap compounds over time.
Three Levers to Multiply Output
Multiply engineer output, don't just add engineers. Automate routine work. Let AI handle the predictable, humans handle the complex.
Tool Augmentation
AI coding assistants (Copilot, Cursor) for individual developer productivity
Process Automation
Agentic processes for routine SDLC tasks (testing, docs, requirements)
Workflow Optimisation
Remove bottlenecks and coordination overhead from your process
Available SDLC Agents
Each agent automates a specific part of your software development lifecycle, freeing your team to focus on what matters.
Requirements Agent
Parse features into detailed specifications
Time savings on this task
Architecture Agent
Design system approach and patterns
Time savings on this task
Code Generation Agent
Generate implementation from specs
Time savings on this task
Testing Agent
Generate comprehensive test cases
Time savings on this task
Compliance Agent
Validate against regulations and standards
Time savings on this task
Documentation Agent
Generate docs from code automatically
Time savings on this task
Recommended Packages
Requirements + Testing + Documentation
+ Code Gen + Compliance agents
All 6 agents with integration
Full AI-native SDLC orchestration
Quantifiable Outcomes
From 8-12 to 20-30 features shipped
From 40-50% to 10-20% on routine tasks
From 30-50% to complete documentation
From 3-5 rounds to 1-2 rounds