Zatanna

Companies with AI agents need to interact with legacy portals and back-office systems (ERP, freight carrier portals, insurance platforms, EHRs) that have no public API. Today the alternative is browser automation or 'computer use,' which renders full pages, clicks through UIs, and breaks whenever a button moves or a layout changes. This makes agent integrations slow, fragile at scale, and dependent on scraped HTML instead of structured data. Teams are left babysitting browser bots for workflows like claim submissions, permit applications, and record lookups.

Zatanna observes the real network traffic behind a portal workflow while a human completes it once, capturing login flows, auth, session tokens, and request sequencing. It then reconstructs the underlying API calls, including auth behavior, retry logic, and edge cases, with no UI layer involved. Agents call a single clean, parameterized endpoint while Zatanna manages auth, retries, anti-bot and TLS fingerprint hardening, and session handling underneath. The system also detects when portals change on the backend and automatically repairs the integration, so teams integrate once and treat the workflow as stable infrastructure. The company states most integrations go live within days of a 30-minute workflow review.