The context for your content lives outside of your CMS. With connectors, Aiko can pull information about briefs, brand voice, and tasks from Asana, Confluence, and more. Watch how in our live demo.
Written by Madeleine Salisbury
Creating a landing page rarely starts with a blank page. The brief might be sitting in Asana, product information and brand guidance in Confluence, and optimization recommendations in yet another tool. Someone then has to pull all of that context together and turn it into a finished page.
In a recent demo, we showed how Aiko handles that work from a single conversation.
In under three minutes, Aiko:
Watch the demo below:
What makes this workflow useful is that Aiko can reach the information the work depends on, use it while writing the page, and then update the tools involved. Setup is quick too. Aiko connects to other systems through MCP connectors, so there is no custom integration or middleware to build and maintain, and Martin estimated that configuring a connector takes five minutes at most. Aiko also acts within the permissions of the person using it. As Martin Michalik, CPTO at Kontent.ai, put it:
"I really think this changes the game for many organizations that historically had trouble connecting their CMS to their systems."
Once AI can take action in your content systems, teams need a clear view of what it did. Kontent.ai shows in revision history whether a change came from a person or from AI, and the Audit Log gives project managers an environment-wide record of activity. We'll cover the Audit Log in more detail in a separate post.
The demo is one example of what connected content operations can look like. Watch the full webinar, Content Ops Without the Complexity: Connect, Automate, Govern, to see how Aiko connectors work with the tools in your content stack and how Kontent.ai helps teams keep visibility as AI agents start working alongside them.
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