Automation without surrendering control

Your rules remain the job description.

Useful AI needs boundaries, supervision, and a clear human fallback. We design those controls before the employee reaches a customer.

AllowedAnswer an approved service questionComplete automatically
Approval requiredOffer an unusual exceptionPause and notify a person
Never allowedInvent a price or change permissionsBlock and escalate
Six layers of control

Designed to be managed—not mysterious.

You should always know what the employee can do, what it did, and what needs your attention.

01

Approved knowledge

The employee answers from business information you review: services, policies, hours, areas, prices, and examples.

02

Action permissions

Scheduling, follow-up, and system updates are limited to the exact actions approved for the role.

03

Human escalation

Urgent, sensitive, unfamiliar, or policy-exception conversations reach a person with the context attached.

04

Scenario testing

Normal requests, unclear questions, complaints, emergencies, and tool failures are tested before launch.

05

Customer transparency

The AI introduces itself clearly. The goal is useful service, never pretending to be a person.

06

Ongoing review

Reports surface outcomes, escalations, unknown questions, and recommended improvements.

A practical decision path

Answer, act, ask, or escalate.

Every incoming request is routed through a defined decision path. The employee does not improvise authority it has not been given.

1Is the request understood?No → ask an approved clarifying question
→
2Is the answer approved?No → escalate with context
→
3Is the action permitted?Yes → complete and document
See the controls in context

Interview the AI Front Desk.

Watch a guided customer conversation move from question to approved outcome.

Start the interview →