AI support agents for Slack

The one channel that faces inward

Every other place a Evoriqa agent works is a way for a customer to reach you. Slack is the exception. Here the people asking questions are your own: a new hire trying to find the expense policy, someone in sales checking which contract template is current, a teammate who can't remember how to request time off. The questions repeat, the answers already exist somewhere in your documentation, and today they usually get handled by a person stopping their own work to look something up.

Putting the agent in Slack changes who does that lookup. It reads your internal documentation and answers in the channel or DM where the question was asked, so the handbook, the IT runbook, and the benefits guide stop being files nobody can find and become something people can just ask. Someone still owns each policy and keeps it current; the agent only saves them from re-typing an answer that is already written down.

What the agent answers from

Internal support only works if the agent is grounded in your own material and not the open web. You build its knowledge the same way you would for any other channel: crawl an internal site or wiki, upload PDFs and DOCX files, paste text, and add FAQs. An employee handbook, an onboarding checklist, an IT troubleshooting doc, and a benefits summary are exactly the kind of source it reads well.

Every answer is grounded in that internal material and nothing else, through hybrid retrieval that keeps each reply traceable to its source. That traceability matters more inside Slack than anywhere else: when an employee asks about parental leave or a security procedure, the reply says what the handbook or runbook actually says, and an admin can confirm in the playground exactly which document an answer drew from, rather than taking a chat message on its own.

Channels, DMs, and knowing when to hand off

A reply is not the same thing in a channel as it is in a DM, and the agent treats them differently. In a public #it-help or #ask-hr channel it answers in the thread where everyone watching can see it, so the response doubles as a searchable record: the next person with the same question finds it already answered instead of posting again. In a direct message the reply is private, for the things people would rather not ask in front of the team, and nothing about that exchange gets echoed back to a channel.

Not everything should be answered by software. A question about a specific person's pay, an exception to a policy, or a system only one team can touch needs a human, and the agent hands it to one.

A harder case is when the answer does exist in your documentation but sits in a doc the person asking is not allowed to open: a finance runbook, an unreleased plan, an HR record. Grounding the agent in a source does not entitle everyone in Slack to read it. When the matching passage sits behind access the asker doesn't have, the agent should not paste its contents into a channel or a DM. It should confirm the answer exists and point the person to whoever owns that document, so a permission boundary never turns into a leak.

When the docs are the problem

The questions your agent can't answer are worth as much as the ones it can. If people keep asking how to do something and the handbook never explains it, that's a hole in your documentation, not a failure of the agent. Evoriqa watches for those cases and surfaces them as knowledge gaps, so the recurring questions your internal docs don't cover turn into a short, specific list of things to write down. Internal support improves because you are filling the holes the agent found, one documented answer at a time.

Keeping internal answers contained

Internal documentation is more sensitive than a public help center, and it is treated that way. Each workspace is isolated from every other, stored secrets are encrypted, and the agent's activity is recorded in an audit log you can review — every question it was asked and every answer it gave. Those are the same controls that protect every workspace, and they matter more here because the material behind an internal answer is your own, not a customer-facing FAQ.

Bringing it into your workspace

Slack is one of several places a single agent can work, so the internal knowledge you build here is the same knowledge it uses everywhere else. You are not maintaining a separate brain for employees and another for customers: the handbook that answers a new hire in Slack is the same source the agent reaches for when a customer asks a related question on your website. If you want to see it answering your own policy and IT questions from your own documentation, create a free workspace.