“Tickets start at $20.”
The price is established in the approved business record.
A reliability standard for business information
Agent Ready turns owner-approved business truth into clear, bounded information AI agents can understand and use without guessing.
Explore the pilotWorking with selected businesses while the system is validated.
01 / The problem
Hours live on one page. Prices on another. Policies in a PDF. Availability in a booking system. Old search results keep circulating. AI systems gather fragments—and too often present an inference as a fact.
02 / The philosophy
Agent Ready does not exist to make AI answer every question. It helps AI recognize what is established, preserve what is uncertain, and refuse to invent what the business has not confirmed.
03 / The reliability path
Unknown is a valid state—not a failure. A reliable answer earns its way from uncertainty to knowledge.
Other honest outcomes: conflicting · unavailable · requires owner decision
04 / How it works
The process is deliberately simple. Discovery informs the record. The owner establishes the truth.
Find useful business information already available across public sources.
Let the business owner correct gaps, conflicts, and outdated information.
Create one bounded, owner-approved business record for agents to retrieve.
Give agents safe answers and clear handoffs—without granting authority they do not have.
05 / In practice
Reliability is not answering more often. It is answering correctly—and being precise about what is not known.
“Tickets start at $20.”
The price is established in the approved business record.
“I don’t have verified live ticket inventory.”
A purchase link is a safe handoff. It is not proof that inventory is available right now.
Controlled pilot
We are testing the Agent Ready approach with selected businesses: whether agents can answer from approved information, refuse safely, and follow the right next step.