AI Resources
Everything you need to evaluate and integrate Journey.ai for agentic AI workflows—MCP guides, demos, white papers, and security context.
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Integration resources
MCP overview + example quickstart (public)
Partner Portal (gated)
Tool schemas, endpoints, OAuth configuration, webhooks, and reference implementations.
Getting Started Checklist
- Choose your first tools: payments and authentication
- Decide delivery channel: SMS/email/chat
- Choose completion method: webhook vs polling
- Route to destination systems (processor/CRM/EHR)
Whitepapers & briefs
Journey + Five9 Passwordless Agent Authentication
See Journey & Five9’s solution to replace passwords with biometrics to eliminate password resets while improving security and agent experience.
Deepfakes in Authentication
Deepfakes—AI‑generated voices, faces, and behaviors that convincingly mimic real people—have moved from novelty to material enterprise risk. This paper examines how synthetic media is eroding the reliability…
Zero Knowledge, Ephemerality, and Encryption
Journey’s View Of The Future of Secure Trusted Digital Identity – Privacy, Security and Customer Experience Shouldn’t Be Mutually Exclusive
FAQ
The AI receives structured results—status, confirmations, and minimal metadata needed to complete the workflow (e.g., “paid in full,” “verified,” “signed,” “form complete”). Sensitive inputs like card numbers, bank details, or identity artifacts stay outside the AI environment and are handled in Journey’s secure workflow and routed to the destination systems that need them.
Typical examples of what the AI gets:
- Documents/Forms: complete/signed + document/form reference ID
- Payments: success/fail/pending + receipt/reference ID
- Authentication: verified/not verified + assurance level
Journey is designed around architectural separation: instead of allowing sensitive data into the AI layer and trying to “detect and redact later,” Journey keeps raw sensitive details outside the AI environment and returns only the outputs required to complete the workflow.
In practice:
- The AI orchestrates what to do next (pay, verify identity, sign, fill a form).
- Journey runs the sensitive step on the customer’s device and routes encrypted data to the destination system.
The AI receives an auditable outcome (result object), not the raw regulated payload.
Most partners prove value fastest by starting with Payments or Authentication:
- Payments (often the highest ROI):
It’s a clear “transactional moment” where AI self-service usually stalls, and the result is easy to validate (success/failure + confirmation). - Authentication (often the broadest impact):
Passkeys + OTP immediately upgrade verification across self-service and agent-assisted flows, reduce handle time, and improve fraud posture.
Journey supports all three patterns, so you can choose what fits your architecture:
- Webhooks: Best for production systems that want real-time updates and event-driven automation.
- Polling: Useful when a platform prefers to periodically check status until completion.
- Synchronous: Works for fast steps where an immediate response is feasible, with a fallback to webhook/polling for longer flows.
In all cases, the completion object is structured for easy orchestration by an AI agent or workflow engine.
Get Started
Ready to map your top intents to tools?
Tell us what you want to automate—payments, authentication, forms, signatures, uploads. We’ll recommend the right starting tools and help your engineers integrate quickly through MCP.
