Executive Summary

Modern SaaS UIs weren't built for autonomous AI agents, so as teams deploy agents that click, scrape, and submit forms they face brittle automations, silent failures, and security/authorization gaps—product and platform engineers at roughly 100,000 mid-market SaaS companies bear this pain today. Without agent-aware contracts and continuous validation, teams revert to fragile workarounds, manual QA, or heavyweight RPA, slowing agent adoption and increasing operational risk. Build a developer-first product that detects agent-vulnerable UI surfaces, generates and executes executable agent tests in CI, and hardens interfaces with SDKs, linters, and runtime observability (intent-to-action mapping, logs, and automated remediation playbooks). Integrations with Git, CI, and browser automation enable enforcement of UI contracts for autonomous actors and support a ~$20K ACV go-to-market motion. The timing is favorable: autonomous agents are proliferating, teams prefer lightweight developer tooling over RPA, and the estimated $2.0B addressable market (100k SaaS × $20K ACV) with high market and revenue scores indicates real commercial potential. You can differentiate by focusing on developer ergonomics and combining static detection, runtime observability, and automated remediation tuned to agent semantics rather than just flaky E2E testing, but be upfront about the challenges of cross-browser coverage, privacy/security scrutiny, and the effort required to get product teams to instrument their apps.

Market Opportunity

Make SaaS agent-friendly: detect, test, and harden UIs for AI agents targets a $2.0B = 100,000 SaaS companies × $20K ACV for agent-hardening tooling total addressable market with medium saturation and a year-over-year growth rate of 25% YoY for automation and AI developer tool adoption (industry synthesis: rapid agent adoption and tooling demand; see multiple analyst notes 2023–2024).

Key trends driving demand: Agent-first automation — Autonomous agents are increasingly able to interact with web UIs and complete tasks, creating a new class of runtime consumers for SaaS.; Developer-first tooling adoption — Product teams prefer SDKs, linters, and CI integrations over heavyweight RPA suites when adding new platform capabilities.; Shift from manual QA to continuous validation — Teams want continuous testing, observability, and remediation for automated actors as they deploy agents to production..

Key competitors include UiPath, Ghost Inspector, AgentReady.

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Make SaaS agent-friendly: detect, test, and harden UIs for AI agents

Executive Summary

Market Validation

Market Opportunity

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