Deploy AI agents to production in one click

See how teams deploy AI applications through embeds, APIs, and SDKs, then use built-in feedback to support continuous improvement.

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What's in this video

  • The walkthrough deploys an AI application from the SUPERWISE interface.
  • It presents embed, API, and SDK delivery options.
  • Built-in feedback captures signals for continued improvement.
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Frequently asked questions

Topics from this video and why governed AI matters.

How do you deploy an AI agent to production in one click?
In Application Studio you configure the LLM, index context (e.g. a Wikipedia page), then Save and Publish. Status moves from pending to available when the agent is fully deployed. You consume it via iframe or API and SDK with no infrastructure setup.
How is feedback monitored for deployed agents?
Positive or negative feedback is tracked inside SUPERWISE. Every action is available through the API so you can analyze usage and tune guardrails. Governed AI requires that you see how agents perform in production.
Why is one-click deployment important for governed AI?
One-click deployment keeps engineering effort low while still enforcing guardrails and observability at the platform. SUPERWISE gives you the same governance whether you embed via iframe or integrate via API.
Why should deployment include observability by default?
Deploying without observability means you cannot see failures, drift, or abuse. SUPERWISE monitors feedback and behavior so you improve and prove governance from day one.

Explore more AI governance resources

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Duration2:07
UploadedSeptember 4, 2025
Categorytutorial