Join us to explore how engineering leaders can continuously modernize legacy codebases and strengthen delivery foundations to keep pace with rapid AI advancements.
Key Discussion Points:
- The Core Problem: Enterprises waste up to 80% of budgets maintaining fragile legacy systems, while using unguided AI coding tools leads to architectural drift, heavy rework, and high token costs.
- Spec-Driven Delivery: Transitioning from "prompt-and-pray" AI usage to execution-ready Work Orders with living specs speeds up delivery by up to 70% and ensures predictable outcomes.
- Persistent Enterprise Context: Extracting business rules and dependencies into living knowledge graphs prevents loss of domain knowledge as experts retire and keeps AI grounded in the real architecture.
- Embedded Pipeline Governance: Integrating guardrails, human-in-the-loop approvals, and 100% requirements traceability directly into the pipeline delivers speed without compromising compliance or security.
- Compounding Delivery Foundations: Building an internal governed software factory creates a reusable asset base, reducing reliance on expensive GSI outsourcing and fragmented DIY stacks.
We hope to see you there!
Questions? Contact [email protected] 
