Slack bots typically run as standalone apps with their own content layer and require staff to remember a slash command. SleekAI grounds against the intranet you already maintain in WordPress, and Slack remains the escalation destination via webhook. Most teams keep both: the chatbot answers grounded questions in the intranet UI, and Slack handles the escalations and human conversation that come out of it.

Yes. SleekAI runs inside your WordPress install, which can sit behind any SSO that WordPress supports (SAML, Azure AD, Google Workspace via the standard plugins). Display conditions read the user object, including role and capabilities, so scope and tone change by who is logged in without a second authentication layer.

Two layers protect that. First, only data you put in the prompt context is sent to the model provider; salary tables and personal HR records can be excluded from grounding entirely. Second, the bot's scope is defined by the system prompt, so it can be told to refuse and escalate on any salary, performance, or termination question without exception. Logs stay in your database under your retention policy.

Via standard webhook or email. ServiceNow, Jira Service Management, Freshservice, Zendesk, and Halo all accept inbound tickets via webhook or email-to-ticket, so the bot's escalation path delivers a structured ticket with the conversation attached. The team picks up the thread with the context the employee would otherwise be asked to repeat in a second channel.

Only if you ground it against that data and choose to. Most deployments scope the bot to policy and process: how time-off works, how the expense flow runs, how the laptop policy reads. Anything individual gets a referral to the right system (BambooHR, Workday, internal HRIS) or a routed ticket to a human, because those answers depend on per-employee data the bot shouldn't speculate on.

Yes. Multibot lets you run a tuned bot per department or team, each with its own prompt, grounding scope, and escalation destination. Display conditions on user role show the right one to the right employee. From one license you can have an HR bot, an IT bot, and a sales-ops bot, all from the same install with the same data layer.

Three numbers from the logs: the share of conversations that ended without escalation, the share of escalations that arrived with enough context to resolve in the first reply, and the share of new-hire questions answered in chat versus Slack. The first measures volume removed from HR and IT inboxes; the second measures the quality of escalations; the third measures the onboarding lift, which is usually the biggest immediate win.

Most internal-helpdesk conversations are 3 to 6 turns at 300 to 800 tokens per turn, which lands at well under a cent per conversation on a mid-tier model. For a company at 200 staff with a few hundred chats a week, monthly model cost is typically a small fraction of a single hour of HR time, and the comparison is easy to make from the SleekAI logs which record token usage per conversation.