How Agentforce Conversation Client Sped Up Accessibility Remediation by 5x
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The Agentforce Conversation Client (ACC) team at Salesforce built an MCP-based accessibility remediation workflow to handle hundreds of WCAG violations generated by distributed cloud audits. Traditional manual remediation couldn't scale — engineers had to interpret axe-core output, map violations to WCAG guidelines, and apply fixes individually, leading to inconsistency and backlog growth. The team engineered a pipeline that injects deterministic accessibility context into an AI-assisted workflow: scan → AI prioritization → AI-generated remediation → validation → pull request generation. This reduced roughly 80% of the accessibility backlog and achieved a 5x speed improvement. Key challenges included making remediations framework-aware for Lightning Web Components, building developer trust in AI-generated PRs, and designing the system to extend beyond ACC to other Salesforce teams with different architectures.
