Our Methodology
8 weeks. 3-4 developers. Enterprise outcomes. Here's exactly how we do it.
The Fundamental Shift
What Everyone Else Does
- • Adds AI tools to existing workflows
- • Developers still write line by line
- • Sequential handoffs between teams
- • Meetings about meetings
- • Result: 5-10% improvement
What We Actually Do
- • Redesign entire workflows for agents
- • Agents complete whole features
- • Parallel workstreams, no waiting
- • Review outputs, not process
- • Result: 40-55% improvement
The 8-Week Process
Weeks 1-2: Agentic Discovery
Not another discovery phase. AI analyses everything in parallel whilst humans focus on what matters.
- • Claude analyses your entire codebase
- • Pattern matches against 50+ similar projects
- • Identifies risks from historical data
- • Creates initial architecture options
- • 2 stakeholder workshops (4 hours total)
- • Access to documentation/systems
- • Decision on architecture approach
- • Sign-off on scope
Weeks 3-4: Multi-Agent Design
Multiple specialised agents work simultaneously. 100+ iterations in days, not months.
- • V0 generates UI variations
- • Database agent designs schema
- • API agent creates contracts
- • Security agent reviews everything
- • Clickable prototype
- • API documentation
- • Database design
- • Security assessment
Weeks 5-6: Autonomous Build
This is where the magic happens. Agents work in 4-hour sessions. Humans review milestones, not code.
- • 30+ hour autonomous sessions
- • 95% test coverage generated
- • Documentation written alongside
- • Performance optimisation built-in
- • Business logic validation
- • Integration decisions
- • User experience reviews
- • Security verification
Weeks 7-8: Business Outcomes
Not just deployed—delivering value. Real users, real metrics, real impact.
- • User acceptance testing
- • Performance tuning
- • Team training
- • Launch preparation
- • Production system live
- • Metrics dashboard
- • 30-day support
- • Phase 2 roadmap
60% Cost Reduction
Senior developers in Philippines, 80% timezone overlap
Smaller teams, faster delivery, less rework
40% Faster Delivery
No sequential handoffs, everything simultaneous
AI catches issues before they become problems
Why This Works When Others Don't
We've already climbed the 11-week learning curve that research shows is required for AI productivity gains.
Our Agent Stack
These aren't generic AI tools you configure yourself. Each agent has been refined through real production work across healthcare, fintech, and enterprise projects. They come with pre-built context libraries, battle-tested prompt chains, and lessons learned from failures we've already made. While anyone can spin up Claude Code, our agents include domain-specific guardrails, quality gates tuned to catch the bugs we've seen, and integration patterns that work the first time. The difference? You're not paying for our learning curve—you're benefiting from it.