Agentic Product Development Sprint 2.0
- 3-week transformation program with functional Walking Skeleton delivery
- For Senior PMs, IT Leaders, and Directors ready to break free from stagnant feature delivery
Most product organizations are stuck: features take months, roadmaps stay perpetually "in progress," teams grow but output stagnates. Meanwhile, pressure mounts to cut costs and increase speed. The AI-First Product Development Sprint transforms your existing product system within 3 weeks, achieving 20-50× faster feature delivery through agentic AI collaboration and end-to-end flow—not by adding headcount, but by fundamentally changing how humans and AI work together.
Agentic Product Development Sprint 2.0
- 3-week transformation program with functional Walking Skeleton delivery
- For Senior PMs, IT Leaders, and Directors ready to break free from stagnant feature delivery
Most product organizations are stuck: features take months, roadmaps stay perpetually "in progress," teams grow but output stagnates. Meanwhile, pressure mounts to cut costs and increase speed. The AI-First Product Development Sprint transforms your existing product system within 3 weeks, achieving 20-50× faster feature delivery through agentic AI collaboration and end-to-end flow—not by adding headcount, but by fundamentally changing how humans and AI work together.
IMPLEMENTATION PROCESS
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- Select 3-5 progressive team members (Senior PMs, Tech Leads, Directors)
- Establish brownfield context with real user data and existing systems
- Define initial Walking Skeleton scope with business-critical focus
- Set up agentic AI architecture across development, reasoning, data, infrastructure, and quality layers
- Build end-to-end functional first version directly on the product
- AI-pair programming with Cursor or Claude Code for production-ready code
- Real-time iteration in 30-60 minute cycles instead of weeks
- Test hypotheses against actual usage data, metrics, and business KPIs
- Extend Walking Skeleton with data integration and documented architecture
- Implement RAG-based data agents with access to internal datasets and APIs
- Deploy IaC-agents for automated infrastructure orchestration
- Establish observability layer with automated code analysis and quality checks
- Consolidate learnings and document AI-enhanced iteration patterns
- Create scalable transformation roadmap from cell to organization-wide system
- Deliver stable, extensible first product version with clean architecture
- Enable team to think and work in AI-enhanced iteration mode
Outcomes_
Speed validation — See 20-50× faster feature delivery in days, not theory
Cost efficiency — Achieve radical acceleration without adding headcount
Transformation roadmap — Clear path from successful cell to scalable AI-first system
Risk mitigation — Brownfield approach with real data proves business value immediately
Competitive edge — Break free from months-long feature cycles while competitors stay stuck
Hands-on mastery — Learn to orchestrate agentic AI across the full development stack
Quality at speed — Deliver production-ready code with clean architecture in 30-60 minute cycles
Flow over silos — Experience direct product development instead of ticket-driven handoffs
Real impact — Build against actual user data and business KPIs, not hypothetical requirements
Credible transformation — Work with a team that lives these principles daily in their own development
Team enablement — Become the catalyst for organization-wide AI-enhanced development adoption