Every company has a stack of policy pages. Refund policy, shipping policy, privacy policy, acceptable use, employee handbook, code of conduct. They are written in defensive legal-adjacent language, structured for completeness rather than readability, and updated whenever counsel says they need to be. The result is that customers and employees ask the same five questions over and over in support tickets and Slack, because nobody is going to read 3,400 words to find one sentence about exchanges.

SleekAI ingests your WordPress pages (or pulls them by URL pattern) and uses them as the bot's source of truth. The bot answers in plain language and points the reader at the exact paragraph it pulled from, so they can verify the answer themselves. Display conditions can scope a customer-facing version of the bot to the public site and an HR version to a logged-in employees-only page, each grounded in its own policy set.

Generic bots cannot do this because they answer from training data, not from your current policies. They will confidently quote a return window that does not match yours, or describe a leave policy that belongs to a different country. They cannot cite sources, cannot tell you when a policy last changed, and cannot stay current when legal updates the page. SleekAI re-reads the live policy on every conversation, so the answer is always tied to what is actually on your site today.

Policies exist to set expectations, but most of them fail at that job because nobody reads them. The result is a support workload that is structurally avoidable. Refund clarifications, leave eligibility questions, data deletion requests, terms of service interpretations: these are not novel problems for any company, and they are the bulk of repetitive inbound.

A policy chatbot does not change what the policy says. It just makes the policy actually accessible at the moment of need. The compliance angle matters too.

Regulators increasingly expect organizations to provide clear information about data handling, refund rights, and consumer protections. A bot that answers from your live policy and cites sources lowers the risk of giving the wrong answer in a regulated context, because the answer is always grounded in the document on the record. For internal HR use, the gains are about manager bandwidth.

Frontline managers spend a surprising amount of time answering the same handbook questions, often with slightly different (and sometimes contradictory) answers. A grounded bot gives consistent answers from the canonical source. The interesting side effect is that the logs become an unfiltered view of where the policy is unclear or out of date.

Most policy owners discover that their top three unanswered questions point at gaps they have known about for a year but never had time to formalize.