SleekFlow Product Requests

Correct a source or article directly in AgentFlow, and only the section you changed is updated. When a test reply looks wrong, jump straight to the passage it came from. Keeping your knowledge base up to date no longer means exporting, deleting and uploading again.

This feature enables an AI agent to access and display available meeting times directly to customers. Users benefit from a streamlined scheduling process where customers can view real-time availability and select a slot that works best for them without manual intervention.

See how many carts and checkout links your AI agent sent, which became orders, and the revenue behind them, each matched to its conversation.

Find every conversation the AI agent handled, including after it hands over to your team, and see in the conversation whether the checkout link it sent was paid.

Tell Co-Pilot you sell on Shopify and it connects your store if it isn't connected yet, turns on the actions your agent needs and builds the procedure from your store's setup. Test the agent with your real products before it goes live.

When setting up an AI agent, see which integrations it uses, whether each one is connected and which actions it runs. If an integration the agent needs isn’t connected yet, connect it from agent setup or ask Co-Pilot to do it, without leaving the setup.

When a test reply is wrong, flag it and let Co-Pilot propose the fix. Review or undo what Co-Pilot changed, test again, and move on to going live once your tests pass.

Automatically detect when your knowledge base articles contain contradicting information and flag it, so you know exactly what to fix. Resolving these conflicts helps your AI agent give more consistent, accurate answers.