Most internal HR tickets are not edge cases. They are repeats: how many sick days do I have left, when does open enrollment close, what is the bereavement policy, is my role eligible for the wellness stipend. Your handbook already answers all of these, but nobody reads a 78-page PDF on a Tuesday afternoon. So your two-person HR team spends 12 hours a week re-typing the same paragraphs into Slack.

SleekAI ties a chatbot to the WordPress intranet you already maintain. It reads policy posts in wp_posts, structured fields in wp_postmeta, and the employee's role plus department from wp_users and wp_usermeta. When Maria from sales asks about parental leave, the bot pulls the correct version of the policy for her tenure and country, not a generic answer scraped from public sources.

Generic chatbots hallucinate handbook clauses because they have no source of truth. A policy that changed in March 2026 is invisible to them. SleekAI only answers from documents you have actually published, with display conditions that hide US-specific 401k content from your Berlin office and surface the right local holiday calendar based on the employee's office location field.

HR is one of the few company functions where the cost of a wrong answer is real and personal. Tell an employee they have 20 PTO days when they have 12 and you have a budgeting problem. Tell them their parental leave is 12 weeks when their contract says 16 and you have a trust problem.

Most off-the-shelf HR chatbots are built to handle FAQs, not contracts. They scrape your handbook PDF once, embed it into a vector store, and never look at it again until you remember to re-upload after a policy change. By that point the bot has already given the wrong answer to 30 people.

SleekAI takes the opposite approach. The source of truth is the WordPress post, and the bot reads it live on every question. When HR updates the bereavement policy on Tuesday morning, the bot reflects the new wording on Tuesday afternoon, with no embedding refresh and no vendor support ticket.

The model only sees the relevant snippet plus the asking employee's tenure, office, and role, so answers are correct for that specific person without HR having to maintain regional bot variants. The result is fewer repeat tickets, faster answers for staff, and an audit trail HR can actually point to when compliance asks how a particular question was answered. That last piece matters most in regulated industries, where 'the chatbot said so' has to be backed by a real document and a logged conversation.