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Agentic Coding Framework
The Agentic Coding Framework enables organizations to move from AI experimentation to disciplined, scalable software delivery. EY supports organizations with an integral approach to the Software Development Lifecycle (SDLC), embedding governance, quality and automation to accelerate delivery while maintaining control, security and compliance.
Acceleration with control
Move from isolated AI-experiments to controlled, scalable software delivery. By automating discipline across the entire SDLC and providing control before scale, organizations achieve sustained acceleration without sacrificing quality, governance or compliance.
Disciplined software delivery
Create a resilient, end‑to‑end delivery model where business, engineering, architecture, security and risk remain continuously aligned. Reduce rework and uncertainty while building lasting organizational capability.
Governance and compliance by design
Meet internal and regulatory requirements with confidence by embedding governance, security and audit readiness directly into the development lifecycle. Quality and compliance are enforced continuously - not added at the end.
Your business challenge
How the Agentic SDLC works
AI alone isn’t the answer; we need to rebuild discipline around computable artefacts. By codifying discipline into structured artefacts, enforceable contracts, automated enforcement and agent sequences, we unlock AI’s real value.
The approach shifts software delivery from human‑paced execution to governed agent‑driven production – without reducing accountability. Codifying all artefacts across the lifecycle delivers both machine-readable and human-readable artefacts, while validation, policy enforcement, and governance move inside the delivery process rather than sitting downstream – ensuring continuous real-time control.
Once discipline is codified and automated, AI can amplify it safely. Without that foundation, AI merely accelerates chaos.
Value and impact
- From local acceleration to end‑to‑end performance
While AI often speeds up coding, its impact typically stops at the team level. The Agentic Coding Framework shifts improvement to the full Software Development Lifecycle, delivering measurable gains in throughput, quality and predictability across the entire delivery chain.
- Less rework, more flow
By using machine-validated criteria, continuous quality checks and clear accountability and full auditability, rework is significantly reduced.
Reviews become more consistent,decisions more transparent and handovers less error‑prone. Teams spend less time fixing and more time creating value.
- Quality, security and compliance by design
Governance, security and compliance are embedded directly into the delivery process. Policies-as-code, automated controls and audit‑ready artefacts ensure quality and compliance are continuously demonstrable — not verified only at the end. This increases trust across leadership, regulators and ecosystem partners.
- Predictability for leadership and the business
Progress, risks and delivery constraints become visible through real data rather than assumptions. This enables leadership to steer more effectively on priorities, capacity and investment decisions. Decision‑making shifts from reactive intervention to evidence‑based foresight.
- Sustainable AI scaling
Through a phased, learn‑before‑scale approach, organizations build controlled experience with Agentic AI. Software development becomes a safe proving ground for broader AI-adoption and long‑term AI resilience. The result is not just faster software delivery, but an organization that can scale AI responsibly and sustainably.
- The broader organization-wide impact
The Agentic SDLC results in an operating model change (adaptable and structural which impacts leadership decisions, governance redesign, and organizational commitment) rather than an adaptable framework (piece of guidance). It’s about structural changes rather than guidance to the existing structure.
Why EY
EY focuses on improving the full Software Development Lifecycle rather than deploying isolated AI-tools. By embedding discipline, quality and governance first, EY enables controlled and sustainable acceleration with Agentic AI.
Governance, security and compliance are built in from the start, making the approach well suited for highly regulated environments. The Agentic Coding Framework is open and adaptable, integrating seamlessly with existing teams, processes and technology stacks without lock‑in.
EY is well positioned to support the organization-wide operating model impacts which will result from effectively applying Agentic AI to the Software Development Lifecycle.
