A conversation is a chain of moments, each with a different price for getting it wrong. Saying hello is cheap. Checking who someone is isn't. Moving their money can't be taken back.
Yet every agent is handed one fixed amount of freedom for the whole conversation. Too much, and one bad turn becomes an incident. Too little, and a person signs off on every reply.
Steering them is guesswork. Teams rewrite prompts and hope. An instruction that holds on Monday drifts by Friday, and no one can say for sure how the agent will behave on the next turn.
When it goes wrong, there's no good answer to “why did it say that?” Logs show what happened, not why, so a mistake can't be traced, explained or ruled out next time.
In healthcare, banking and insurance, that's disqualifying. A wrong dosage, a misdirected payment, a promise the policy doesn't cover. Every decision may need to be explained to a regulator, and “the model decided” is not an explanation.
So the agents stay in pilot. Capable, articulate, and not trusted with anything that counts.
We're building the workbench that changes this: one place to move agents safely to the right of the autonomy spectrum, from a person approving every reply to an agent trusted to act on its own.
Steered by the people who own them. Explainable at every decision. Given more freedom only as they earn it.
— Lodora Labs