Businesses are eager to let AI take the wheel in streamlining their operations. But there’s a hard truth that is often overlooked, AI is only as good as the data it’s given. The entire system breaks down if the foundation is weak. Think of it like giving a GPS technology an incomplete map, no matter how advanced the navigation you won’t reach the right destination without the right input.
Now, consider this: What if your business data was already structured, clear, and accessible? What if every piece of information was designed to be read, understood, and acted upon, not only by people, but by machines as well? This is where having VPAT compliance is beneficial, transforming the way businesses prepare for AI-driven automation.
The Roadmap to Seamless Automation
At its core, VPAT (Voluntary Product Accessibility Template) compliance ensures that technology is accessible to those who navigate the digital world differently. For the blind and visually impaired, they can’t see the information that’s presented, screen readers read that information for them. If that information is structured well, it’s understood clearly. If it’s disorganized, the experience is confusing and ineffective.
AI operates the same way. It can’t “see” data in the traditional sense; it ingests data and acts based on what it’s given. Just like a street sign that’s well-lit and properly placed helps people find their way, clean, structured data guides AI to make the right decisions.
Bridging Accessibility and Automation
Great systems are built with intention. When we set out to create a solution that streamlines revenue operations, we didn’t focus solely on automation, we looked at how people process this information. The blind and visually impaired community taught us something powerful: technology must be structured, readable, and intuitive for everyone.
For those without sight, screen readers transform data into something understable. This only works if the information is organized and accessible. The experience is confusing and ineffective without proper structure. Similarly, AI operates much in the same way. It doesn’t “see” the way we do, but it processes the data it’s given. If that data is inconsistent or cluttered, AI stumbles. But if it’s clear and structured, AI performs with precision.
This realization shaped our approach: By building an inclusive, standardized system that makes data accessible to people, we also created a foundation for automation and AI that actually works.
A Future-Proof Approach to Revenue Management
Quoting, subscriptions, renewals in Revenue Operations demand consistency. Yet so many systems operate with fragmented data, leading to errors, inefficiencies, and lost revenue. By applying the same principles of accessibility that empower the visually impaired, we built a solution that delivers clarity at every step.
We saw revenue operations in a structured, standardized framework where data flows seamlessly, creating flawless data. And when your revenue lifecycle runs on clean, structured data, AI isn’t just a distant possibility, it’s an immediate advantage.
The Next Step: Preparing for AI-Ready Revenue Operations
The best way to future-proof your business is to start with better data. The question isn’t really whether your company will use AI, it is whether your data is ready for it.