Working with your AI through MCP
Your AI can do more when it can use your business tools. A shared standard lets you connect it to Kanonik instead of adopting a separate assistant for every job.
Model Context Protocol
General meaning: Model Context Protocol (MCP) is a standard connection that lets AI applications use business tools and information.
Why it matters
A shared standard lets you connect your AI to Kanonik instead of adopting a separate assistant for every job.
With Kanonik
MCP is the standard connection your AI client uses to reach Kanonik. Your AI works with our compliance tools and structured record, preparing proposals and responding to review feedback, without a separate connector for each system. You keep the AI environment your organization has chosen, and Kanonik gives its work a place to be checked, reviewed and retained.
Related scenarios: Agent-led workflows | Glossary definition
Agent-led workflows
General meaning: Workflows in which AI uses tools to carry out several related steps, rather than only producing a text response.
Why it matters
There is less repeated work between finding information and preparing something a person can review. The benefit is completed preparation, not simply more generated text.
With Kanonik
Instructions and tools help your AI prepare records, submit proposals and revise work after feedback. Your team can spend more time assessing the result and less time copying information between documents. The compliance structure around the agent's work stays in Kanonik.
What to consider
Agents still depend on the information and permissions they receive. For a small, one-off task, a manual process may be simpler. An agent's ability to prepare work is not authority to approve it.
Related scenarios: Agent-led workflows | Glossary definition
Least privilege
General meaning: Giving each person, account or agent only the access its task needs.
Why it matters
If an account or tool is misused, narrow access limits the damage.
With Kanonik
Source-system access stays under customer control. Your AI uses the permissions your organization gives it without handing Kanonik a separate set of source-system credentials.
What to consider
Access already granted to your AI still needs review. BYOM does not reduce those permissions by itself, and a standard connection does not make an unsafe permission safe.
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