Enterprise accessibility programs run on volume. Hundreds of pages, dozens of digital assets, multiple product teams, and ongoing audit cycles. A platform built for this work centralizes audit data, maps issues to owners, prioritizes fixes by risk, and produces the documentation procurement teams ask for. The right platform turns a sprawling program into a tracked, reportable workstream with clear progress against WCAG 2.1 AA or WCAG 2.2 AA.
The Accessibility Tracker Platform was built specifically for this. Audit reports load in, issues map to projects, AI assists with remediation guidance, and ACRs auto-generate from current data.
| Capability | What It Supports |
|---|---|
| Audit Tracking | Centralized issue management across projects, assets, and teams |
| Prioritization | Risk Factor or User Impact prioritization formulas applied to every issue |
| AI Assistance | Remediation guidance, project insights, and progress reports generated from audit data |
| VPAT Generation | Auto-generated ACRs across WCAG, Section 508, EN 301 549, and INT editions |
| Reporting | Portfolio-level views for leadership and product owners |
Why Enterprise Programs Need a Platform
An enterprise accessibility program covers more than one audit. It covers a portfolio of websites, web apps, mobile apps, and internal software. Each asset has its own audit cycle, its own issues, its own remediation timeline.
Spreadsheets break down at this scale. Issues fall through. Owners change. Audit reports sit in shared drives while teams work from outdated copies. A platform is the system of record that keeps the program coherent.
What Does an Enterprise Accessibility Platform Actually Do?
It centralizes audit data. Audit reports for every digital asset load into one place, and every issue carries its WCAG criterion, severity, and owner.
It maps work to people. Product managers see what their teams own. Developers see assigned issues. Leadership sees portfolio-level progress.
It applies prioritization. Risk Factor or User Impact prioritization formulas score each issue so teams fix the right things first.
It produces documentation. ACRs, progress reports, and conformance summaries generate from current data instead of being assembled by hand.
Tracking Issues Across Projects
Most enterprise programs juggle parallel audit cycles. A web app finishes its audit while the marketing site begins remediation and a mobile app waits for validation.
The Accessibility Tracker Platform organizes this by project. Each digital asset has its own project workspace with its own audit report, issues, owners, and timeline. Portfolio views roll everything up for leadership.
How AI Supports the Work
Real AI in accessibility makes skilled practitioners more efficient. It does not replace evaluation, and it cannot determine WCAG conformance on its own. That requires a (manual) audit conducted by a qualified auditor.
What AI can do is speed up remediation. Inside the platform, AI reviews each issue and produces guidance grounded in the audit context. AI Project Insights surface patterns across a project. AI Progress Reports generate plain-language updates for leadership without anyone writing them by hand.
VPAT Generation at Enterprise Scale
Procurement teams ask for ACRs. Sales teams need them to close contracts. An enterprise with multiple products needs a different ACR for each product, kept current as remediation progresses.
Auto-generated VPATs pull from live audit data inside the platform. When issues are fixed and validated, the ACR reflects the updated state. WCAG, Section 508, EN 301 549, and INT editions are all supported.
Scanning as a Separate Layer
Scanning is a standalone feature for ongoing monitoring. Scans flag approximately 25% of issues, which is useful for catching regressions between audits but cannot determine conformance.
Inside the platform, scans run on schedules across web pages and surface issues for triage. Audit work and scan work stay distinct. Audits identify the full picture. Scans monitor for changes.
Reporting for Leadership
Executives want one view: where is the program, and where is the risk. Portfolio dashboards show conformance status by project, open issues by severity, and remediation velocity.
Progress reports document the work for legal, procurement, and board reviews. The data is current because it pulls from the same source the teams work in every day.
Frequently Asked Questions
Can a platform replace an accessibility audit?
No. A (manual) audit conducted by a qualified auditor is the only way to determine WCAG conformance. The platform is where audit data lives, gets worked on, and becomes the basis for ACRs and reports. The audit comes first, then the platform manages everything that follows.
How does an enterprise platform map to multiple product teams?
Each digital asset gets its own project. Owners are assigned at the issue level. Product managers see their work, developers see assigned issues, and leadership sees the rolled-up portfolio. This keeps a 50-asset program coherent without forcing teams into one shared queue.
What documentation does the platform produce?
Auto-generated ACRs across WCAG, Section 508, EN 301 549, and INT editions. AI Progress Reports for leadership. Conformance summaries for procurement. Audit reports stay in the platform as the source of truth, and every output pulls from current issue data.
How does prioritization work across an enterprise portfolio?
Risk Factor or User Impact prioritization formulas score every issue. Teams fix high-impact issues first instead of working through audit reports linearly. At portfolio scale, this is the difference between meaningful progress and motion without outcomes.
Enterprise accessibility programs run on data, ownership, and documentation. A platform built for this work keeps all three current.
Contact Accessibility Tracker to see how the platform supports your program: Contact Accessibility Tracker.