Quicksilver Software Development
Service

AI-Assisted Delivery Operating Model

Build the conditions for AI-assisted software delivery to work.

Core Question
How should AI-assisted delivery actually be governed, measured, and used on our teams?
Team
Senior engineers only
Sister Practice
Quicksilver BIG (advisory & diagnostics)
The Problem

To create lasting value, organizations need the right operating model around their AI tools: product ownership, governance, engineering standards, security practices, delivery controls, team structure, and clear accountability. Most teams adopt the tools long before they've worked out the model.

What We Do

We work with leadership and delivery teams to clarify:

  • Where AI-assisted development should be used, and where human review is essential
  • How quality, security, and compliance will be managed
  • How teams should change their delivery practices
  • How product and engineering decisions should be governed
  • How productivity gains should actually be measured
How It’s Different

We focus on the management system around the tools, not the tools themselves. Anyone can buy the same AI coding assistant — the operating model around it is what actually determines the outcome.

What You Receive
  • AI-assisted delivery principles and operating model recommendations
  • Governance and control framework
  • Delivery workflow and role/responsibility recommendations
  • Quality and review practices
  • An adoption roadmap with leadership decision points
Why You Need It

This is useful when a team is already using AI tools, or planning to, but lacks a clear model for how they should be governed and measured. It can help you:

  • Use AI tools safely and consistently across teams
  • Avoid quality and security gaps introduced by ungoverned AI use
  • Measure whether AI adoption is actually creating value
  • Give engineering leadership a defensible governance model
Best Suited For
  • Teams are already using AI coding tools without clear standards
  • Leadership wants to measure AI's actual impact on delivery
  • Security or quality concerns have come up around AI-generated code
  • You're formalizing AI adoption across a larger engineering organization
The Decision It Supports

How should AI-assisted delivery be governed here, and how will we know it's working?

Ready to talk this through?

Tell us about the situation behind AI-Assisted Delivery Operating Model and we’ll help you figure out the right next step.

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