ContextQA 's Director of Enterprise Sales Saurabh Sharma is hosting a practical conversation on AI in QA Automation on Thursday, September 10, 2026, featuring Jamie Kriegel and the Scrum Masters of the Universe community.

Your AI stack deserves a smarter way to test. ContextQA unifies two problems no one else solves together: testing AI agents and testing enterprise applications. AI agents are non-deterministic. Scripts can't validate them. ContextQA maps real agent behavior, catches hallucinations before your users do, and tests from the outside with nothing to instrument. Works with Agentforce, Bedrock, Azure AI Foundry, Snowflake Cortex, Intercom Fin, and custom-built agents. For enterprise apps, autonomous testing agents write production-grade suites with zero manual scripting, and self-heal broken selectors after every UI change. Your suite stays green while your team keeps shipping. What you get: ▸ AI-generated test cases from specs, Jira tickets, or plain English ▸ Self-healing automation, 3M+ broken tests auto-fixed ▸ AI root cause analysis in seconds, not 45 minutes ▸ MCP integration: one prompt from Claude, ChatGPT, or Cursor runs full automation ▸ Web, mobile, API, database, Salesforce, and ERP/SAP on one platform ▸ CI/CD native: Jenkins, GitHub Actions, GitLab, CircleCI, Azure DevOps The numbers: → 18M+ tests executed by AI per year → 70% less time spent on QA → 94% faster failure triage → 80% less test maintenance SOC 2 | ISO 27001 | GDPR | On-prem deployment available "ContextQA cut our regression testing time by 80%. Every AI agent we deploy is validated end-to-end before it goes live." — Jack Reed, Co-founder, Lightfield The future of testing is agentic. Book a demo → contextqa.com