finnPerspective
Let every team use AI. Give the company one set of controls.
Teams need room to improve their work. IT needs a supported way to manage access, data, and spending across connected AI applications.
The person who sees an opportunity for AI may be a reservations manager, a finance analyst, or someone answering customer emails. They know the repetitive work because they do it. A company should make those ideas easier to try without asking every team to become its own security and infrastructure department.
Make the approved path useful.
If getting help requires a long process and the approved tool cannot do the job, employees still have a problem to solve. A workable company AI strategy needs an accessible place to ask, experiment, and produce something useful, alongside clear limits on what can be accessed or changed.
For a finance team, that might mean preparing a draft explanation of an invoice using approved records. For a hotel team, it could mean summarizing guest-service requests. Each team should understand which sources and actions are available before it relies on the result.
Separate business decisions from shared infrastructure.
A department understands what a good result looks like. IT understands which applications, model providers, and data arrangements the company can support. Both responsibilities matter. Asking one side to make every decision slows the work and can leave important details unexamined.
A shared AI Gateway can give connected applications common controls for model access, data handling, and spending. Teams can then build around their own work without each inventing a separate provider connection and cost policy. Those controls cover traffic routed through the Gateway; they do not automatically govern every AI tool used anywhere in the company.
Model access is not permission to act.
Allowing an application to use a model does not authorize it to issue a refund, change a booking, or email a customer. Those actions still require business permissions and, where appropriate, approval of the specific proposal. A spending limit and a refund limit answer entirely different questions.
Keeping that distinction clear helps the organization expand access thoughtfully. An employee may be allowed to draft a customer response but not send it. A branch manager may approve actions for one location without seeing another location’s records. Useful freedom comes from permissions that match the job.
Give people an understandable boundary.
When a request cannot proceed, explain the next step. A budget limit may require an application owner’s review. Restricted data may require an approved processing route. Missing access may require a different employee. Quietly trying a less restricted route would defeat the rule the company intended to apply.
Our view is that enterprise AI should combine broad participation with clear responsibility. Finn’s workspace gives people a place to work with agents; its Gateway gives connected AI applications shared controls. The business still decides which work to authorize, who owns the outcome, and when a person needs to step in.