Begin with the handoffs
Map where people copy information between systems, wait for an update or ask another team for context. These are practical places to evaluate automation.
Connect only what the task needs
An assistant may need read access to product documentation without permission to change customer records. Define permissions around the work, not around the tool.
Use shared tools with clear ownership
A common AI workspace can give teams approved tools, consistent knowledge and a clearer view of usage. Assign owners for content, access and cost.
Understand the connector layer
Model Context Protocol, or MCP, is one way to connect AI applications with business tools. The business value comes from useful connections and controlled actions; the protocol is an implementation choice.
Measure completion, not conversation
Track whether the workflow helped complete the task accurately and how much review was required. More messages or more AI usage do not necessarily mean more value.