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Papaya: AI Agents for Compliance

Case Study

Papaya's Compliance Platform continuously audits your website for privacy and accessibility violations across every major law and framework, using our cutting edge AI agents

Comprehensive Compliance Testing in Agentic Minutes, not Billable Hours

Simulate diverse user interactions including assistive technologies to uncover issues that traditional scanners miss.

Real User Simulation

Our AI agents navigate cookie consent dialogs to verify proper implementation and compliance with relevant privacy laws.

Cookie Consent Flow Validation

Get detailed reports mapping detected issues to specific legal and technical standards, helping you prioritize fixes and reduce risk.

Compliance Risk Mapping

Agent Papaya is your privacy companion in the browser. It automatically handles cookie banners, sends Global Privacy Control signals, and files data requests on your behalf, saving you time, reducing dark-pattern fatigue, and putting you back in control of your data.

Agent Papaya

Agent Aria uses screen readers to interact with your websites, just like blind/low-vision individuals, uncovering usability issues and potential ADA and WCAG violations. It runs tasks with only the keyboard and accessibility tree, delivering actionable reports that help teams catch problems faster, improve usability, and ensure compliance.

Agent Aria

Consent Checker is a Privacy Compliance AI Agent that automatically dynamically discovers cookie banners and consent flows, and tests it against GDPR, CCPA, and GPC requirements. It behaves like a real user, clicking through banners to verify whether opt-outs are honored, dark patterns are avoided, and privacy preferences are respected, delivering clear, actionable compliance reports before regulators or lawsuits do.

Consent Checker

Our Family of AI Agents

Trusted By

Ram Mukund Kripa

CEO

Founder

Fourth Place in 2025 UChicago Booth Social New Venture Challenge

2025-26 Tarrson Fellowship for Social Entrepreneurship

Residency VC
(Chris Howard & Kevin Carter)

Backed By

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TL;DR: What Daniel Valued Most<ol><li>Exact screen-reader simulation:“It actually behaves like a screen-reader user. It surfaces issues along the way just like a real person would.”</li><li>Full transparency:“The step-by-step logs and the video make it feel like I’m part of the test. I can recreate every issue myself.”</li><li>No spreadsheet hell: "Having the history of every test and every site in one platform is huge. It consolidates everything we normally have scattered across Google Sheets.”</li><li>Actionable remediations:“The recommendations are really useful. It doesn’t just find issues; it explains how to fix them.”</li><li>Supports rapid iteration: "If a team updates their site, we can rerun a test and get results instantly instead of waiting days or weeks.”</li></ol>—<h3>Overview</h3>Accessibility testing at any university is a high-stakes, high-friction workflow. With the <a target="_blank" rel="noopener noreferrer" class="notion-link-token notion-focusable-token notion-enable-hover" href="https://www.ada.gov/resources/2024-03-08-web-rule/">April 2024 update to Title II of the ADA</a>, all public institutions are now legally mandated to ensure that their digital content and websites meets modern accessibility standards (typically WCAG 2.1/2.2 AA) by April 24, 2026.💡 WCAG is a set of international standards made by the W3C to make the web more accessible. There are multiple versions of these standards: 1.1, 2.1, and 2.2. Each of these contain subjective criteria that can be met in a way that is ‘minimum effort (A)’, ‘solid (AA)’, or ‘exceptional (AAA).’Even for private institutions, where Title II may not apply directly, the writing is on the wall: Digital accessibility is quickly becoming a baseline requirement, and enforcement is expanding. <a target="_blank" rel="noopener noreferrer" class="notion-link-token notion-focusable-token notion-enable-hover" href="https://archive.ada.gov/unichicagosa.htm">Past DOJ settlements</a> with physical accessibility oversight make it clear that compliance gaps eventually surface with hefty consequences. Falling behind on digital accessibility isn’t just a liability; it undermines the institution’s commitment to equal opportunity.<h3>So Many Websites, So Little Time</h3>More often than not, small accessibility testing teams are responsible for protecting the institution from legal risk and inequitable digital experiences. But they’re operating on a massive scale, reviewing thousands of webpages and courses.Daniel Ngira’s work as an Accessibility Assistant at UChicago’s Center for Digital Accessibility (CDA) involves monitoring accessibility trends across thousands of webpages, creating manual test plans for external testers. His regular workflow includes:<ul><li>2 hours writing a test plan for each site</li><li>1 day of internal validation with senior staff</li><li>1 hour Sending everything to external partners for a deeper manual review</li><li>3 days waiting for external testers to run the flows</li><li>1 day reviewing long, sometimes delayed reports</li><li>1 day communicating issues back to website owners</li></ul>This process takes anywhere from a 7-10 days in total. Because it’s so time-intensive, this workflow quickly breaks down when a project owner is trying to launch something on a tight deadline or if campus teams need rapid iteration.<h3>A New Approach to Accessibility Testing</h3>When Daniel started using Agent Aria, he quickly realized that it wasn’t a traditional automated scanner. It was a reproducible user-flow simulator. Here are three moments that made it click for him:<h4>It behaves like a real user</h4>“It actually simulates how a real screen-reader user moves through a site. Seeing it go step-by-step was fascinating. It’s like watching manual testing happen in real time.”Aria didn’t just scan a page and output warnings. It navigated, interacted, and surfaced issues through use, replicating the flow of a blind user.<h4>It exposes structural issues sighted testers typically miss</h4>While testing a site, Aria attempted to click what visually looked like a button.Except it wasn’t a button.“I thought I was clicking a button, but it turned out to be an image with no alt text. Aria caught that instantly. I would never have noticed it on my own.”A sighted tester wouldn't have been able to catch that. However, Aria flagged it instantly because it navigates sites via the accessibility tree, not visually through the UI layer.—Daniel also asked Aria to jump to a section using a landmark. Plot twist: that landmark didn’t exist. Aria attempted the jump repeatedly, got stuck, and looped, revealing a missing structural element that normally requires manual verification.“It picks up both obvious issues and deep structural ones. It even detected a problem because the navigation element didn’t exist by noticing that it got stuck in a loop.”<h4>It accelerates the entire manual testing workflow</h4>Because Aria runs full workflows in minutes, Daniel now uses it as soon as he finishes a test plan.“I’m going to run Agent Aria as soon as I finish the test plan. It’s much faster to get results from Aria than from our external testers.”Instead of waiting days or weeks for validation, he gets a reproducible log, a video, and a clear set of issues revealed through real user behavior, all in minutes.<h4>Integrating Agent Aria in Daniel's Workflow</h4>Daniel now runs Agent Aria in parallel with his traditional CDA process. His new workflow consists of:<ul><li>Writing manual test plans</li><li>Running Agent Aria through the same flows</li><li>Comparing findings with external testers</li><li>Using Aria’s logs + video as validation evidence</li><li>Consolidating everything inside Papay's Platform View</li></ul><h3>Conclusion</h3>Daniel’s initial reaction says it all: “This is kind of clutch.”Since Papaya worked closely with Daniel and the rest of his team throughout the process, their feedback shaped improvements to Agent Aria’s reporting, interaction models, and test coverage - ultimately ensuring that the tool aligns with the realities of day-to-day accessibility work.<h4>Human-In-The-Loop, Levelled Up</h4>Agent Aria doesn't replace manual testing. It supercharges it by reducing the back-and-forth, speeding up test cycles, and giving Digital A11y professionals like Daniel a reproducible environment to validate issues. Ultimately, Daniel considers Agent Aria as a way to accelerate accessibility testing, not replace human insight.&nbsp;“I still want to validate the test plans it generates, but I wouldn’t say no to extra help. AI generating test plans that I refine makes total sense.”—If your team faces similar bottlenecks, we’d love to show you how Aria works. <a target="_blank" rel="noopener noreferrer nofollow" href="https://calendar.app.google/jPGRxkZbFjZD6hkE9">Book a call</a>&nbsp;and we’ll design a tailored solution that fits your workflow and meets your requirements.&nbsp;<h3></h3>