AI agents that ask before they act: approvals and permissions

What an agent is

An assistant answers when you ask. An agent goes further: it can take steps, such as gathering records, drafting a message or preparing a summary, and it can be set to do so on a trigger rather than waiting for a prompt. Seesa’s film describes it as something that watches the business, does the groundwork and brings you what needs a decision, and that it will not act until you say so.

That is powerful, and it is also why the controls matter. The more an agent can do, the more important it becomes to say clearly what it may do.

Control one: what it can see

Seesa’s security page says access follows the person. Each person’s access governs what their Seesa can use, and sharing an answer does not have to mean sharing the records behind it.

The film shows what that looks like. A sales lead asks Seesa for the cost of a freight booking. The decision belongs to the finance director, so Seesa prepares his answer from the cash position and the bank facility. He checks it and releases it. The sales lead sees the answer and never the finance files. The same memory gives different people different views.

Control two: what it can do

Seesa’s security page says actions follow your rules. You set the permitted actions and approval rules for connected tools, and your team decides where Seesa can prepare work and where it can carry out agreed actions.

Seesa’s features page puts it simply: set what Seesa can do, review the work it prepares and decide what happens next. Seesa’s use case pages repeat the point in specific settings, such as a prepared follow-up for review, with connected actions following the approval rules you configure.

Putting approval points where they matter

A good approval design is not about asking permission for everything. It is about choosing the right points. Some principles that follow from how Seesa describes the controls:

• Let it prepare freely. Gathering records, drafting and summarising are low-risk, and a person reviews the result.
• Put a person in front of anything outward-facing. A message to a client, a change to a record or a payment is where an approval point earns its keep.
• Match approvals to responsibility. The person who is accountable for a decision is the one who should release it.
• Review the rules over time. Seesa’s specialists can help agree permissions and approval points when a routine is built, and your team can adapt it afterwards.

Routines and approvals together

When a regular piece of work becomes a routine, the approval point is part of its design. Seesa’s operations page describes setting the trigger and the decision point: choose the inputs and what the routine should produce, then set where it needs a person’s approval.

Seesa’s specialists describe the same step when they build a routine with a team: they connect the steps to your systems, agree permissions and approval points, and your team reviews the result against the work it needs to do.

What to ask about any agent

Whichever product you are considering, these questions are a useful test.

• Can I limit what each person’s agent can see?
• Can I list the actions it may take, and require approval for the rest?
• Can I see the sources behind what it prepares?
• Who decides, and who can change the rules?

Where to read more

The security page covers access, actions and external connections, and the features page shows how prepared work, sources and decisions fit together. Availability and permitted actions are confirmed for each installation, so the Seesa team can walk through how they would apply to yours. Seesa serves companies of all sizes.

Checking the work

Approval is easier when the person approving can see the basis. Seesa’s answers show the sources behind them, so a reviewer can open the underlying record rather than taking a summary on trust.

Seesa’s website terms also include a general reminder that AI-generated outputs can be wrong and should be reviewed before being relied on. Approval points and visible sources work together: one puts a person in front of the decision, and the other gives that person something to check.