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Process Automation & Orchestration
Let AI agents act in your business systems, under the same permissions, rules and audit trail as everything else.
AI assistants are everywhere, but connecting them directly to business systems creates risk: uncontrolled access, no audit trail and integrations nobody maintains.
Organisations want the productivity of AI agents without giving up governance, security or compliance with the AI Act.
In the Canon Information Orchestration Framework, this solution draws on two practices.
MCP connections on Workato and uniFLOW sysHUB that give agents governed access to systems and workflows.
Governed content that AI can use safely, with access rights and ethical walls respected.
Workato Enterprise MCP for agents acting across cloud and SaaS applications, uniFLOW sysHUB with MCP for document and output processes, and governed content platforms such as iManage with its MCP Server.
We usually start with one use case where an agent can save time, such as answering status questions or handling routine requests.
Agents act with the user’s own permissions and every action is logged, so governance is in place from day one.
Which platform we propose depends on your process and systems. These are the ones we deploy most often here, delivered by Canon IMS under one contract.
Nokavision, a Canon IMS competence centre and certified Workato partner, introduced Enterprise MCP based on Workato for agentic automations.
The Model Context Protocol is an open standard that lets AI agents use tools and data in business systems through governed connections.
Agents act under the identity and permissions of the authorised user, access is managed centrally and every request and action is logged.
MCP-compatible agents such as Claude, ChatGPT, Copilot or your own models.
Tell us which process feels the most exposed right now. We will tell you where the pressure actually reaches, and where it does not.
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