Image with white background and a line and two star illustrations

How to Get Ready for AI-Native Digital Production: A Self-Assessment Checklist

Over the past 18 months, Large Language Models (LLMs) have gone from theoretical tools to everyday  accelerators for enterprise product teams. From generating code and copy to assisting with design decisions, AI is poised to radically reshape how teams work — improving not just what they ship, but how quickly they bring products to market.

AI is already everywhere. 92% of Fortune 500 companies are using OpenAI technologies — proof that generative AI is no longer experimental. It’s now central to digital product strategy and delivery at the highest level of the enterprise¹.

But most front-end systems aren’t ready for it. They’re fragmented, undocumented, and stitched together across siloed tools and legacy workflows. AI can’t work with chaos — and right now, many systems are holding teams back from scaling productivity or governance.

Enterprise leaders know it. 86% of organizations say they need to upgrade their tech stacks to properly deploy AI, citing integration complexity, lack of governance, and disconnected systems².

And the pressure is mounting. 68% of executives plan to invest between $50M and $250M in generative AI over the next 12–24 months. AI readiness isn’t optional — it’s a competitive imperative³.

This isn’t about replacing humans. It’s about building systems that make them faster, more consistent, and more empowered — with AI as a partner.

The tipping point for moving from human-led work to AI-accelerated workflows will look different in every organization — but one thing is certain: stagnation isn’t an option. The more your teams can enable both humans and AI within a shared system, the more progress becomes a mutually beneficial, unified effort.

To unlock that potential, your design system, development workflow, and front-end infrastructure must be structured, semantic, and API-driven — not just for humans, but for machines, too.

That’s why we created the Digital Production AI Readiness Checklist. This self-assessment will help you evaluate where your organization stands — and identify the foundational steps needed to make your digital production workflows AI-ready.

Download the Digital Production AI Readiness Checklist

Download now

How Knapsack Enables AI-Powered Digital Production

Getting your design system ready for AI doesn’t start with AI — it starts with structure.

Most enterprise product teams are already wrestling with fragmented tools, outdated workflows, and inconsistent front-end systems. AI doesn't fix that — it amplifies it.

That’s why Knapsack was built from the ground up as a Digital Production Platform — not just a design system hub, but a system of record and execution for every front-end artifact your team builds, maintains, and ships.

Knapsack brings order to complexity. It makes your digital infrastructure AI-compatible by default.

Structured, Semantic, and API-Driven

Knapsack operationalizes your design and code assets — turning them into a structured, semantic, and API-enabled workflow ready for AI.

Creates a unified system of record by dynamically linking design and code, supporting tokenization, component documentation, and real-time preview.

Standardizes artifacts with semantic metadata so AI agents can understand not just what a component is and what it can do, but how and when to use it.

Delivers via APIs, enabling your design system to serve not just designers and engineers, but also AI agents, services, and workflows.

Designed for Human-AI Collaboration

Knapsack doesn’t replace your team — it makes your team faster.

As organizations move toward human-in-the-loop AI, the need for integrated governance, clear handoffs, and machine-readable design systems has never been greater. Knapsack provides:

Built-in workflows to manage how components are created, updated, and approved across teams and brands.

Automated, codified documentation based on what your team builds — always up to date, and structured for machine readability.

Contextual metadata to define how and when each component should be used —supporting clarity for humans and precision for AI.

Your Infrastructure for What’s Next

Knapsack gives you the foundation to:

Accelerate product delivery today.

Safely integrate AI into workflows tomorrow.

Future-proof your front-end stack for whatever’s next.

If you’re serious about shipping faster with AI — and not just experimenting — Knapsack is the infrastructure you need to make it real.

Sources

¹Sequencr.ai – Key Generative AI Statistics and Trends for 2025

²BusinessWire – 86% of Enterprises Require Tech Stack Upgrades to Properly Deploy AI Agents

³Forbes – 68% of Executives Investing $50M–$250M in AI

Get started

See how Knapsack helps you reach your design system goals.

Get started

See how Knapsack makes design system management easy.