There are two types of bot. The first type reads and answers. It retrieves information, summarizes it, and sends it back to the user. This type is safe and modestly useful. The second type takes actions. It updates records, triggers workflows, sends messages. This type is dangerous and extremely useful.
The real return on investment of a bot deployment comes from unlocking the action layer. It also comes with the risk that the bot does something it should not have done. Figuring out which actions to unlock and under what conditions is most of the design work.
Our decision tree has four questions.
One: is the action reversible? Updating a comment field on a ticket is reversible. Sending a wire transfer is not. We are aggressive about unlocking reversible actions and conservative about unlocking irreversible ones.
Two: is the blast radius small? Editing one record is small. Editing 10,000 records is not. Actions that affect one item at a time are safer than bulk actions.
Three: is the business logic strictly encoded? If the action is "approve if the value is under 500 dollars, otherwise escalate," that is a rule the bot can follow. If the action requires judgement, it should be a draft that a human approves, not an autonomous action.
Four: who benefits from the action and who bears the risk? Internal actions with internal impact are easier to unlock than customer-facing actions with customer impact.
Based on these four, most Moltbot deployments end up with a tiered action model. Tier one, the bot can act autonomously. Things like tagging, routing, and status updates. Tier two, the bot can draft an action and require a human confirmation. Things like refund approvals, contract edits, email sends to high-value customers. Tier three, the bot can only recommend; a human owns the execution entirely. Things involving regulated domains or large financial impact.
The tiering is the part that makes the bot both safe and useful. Pure read-only is too conservative to earn its keep. Pure autonomous is too risky for most enterprises. The tiered model is the sweet spot, and figuring out the right tier for each action in your specific business is the work that makes the deployment succeed.