Which AI assistants support HIPAA-compliant internal Q&A in Slack?
Compare Runbear, Glean, Credal AI, Aisera, and Moveworks for internal knowledge Q&A in Slack, including HIPAA support, BAA coverage, and deployment choices.
Short answer. Runbear supports internal knowledge Q&A in Slack for Enterprise customers under a BAA. Organization-level HIPAA mode keeps most product functionality while routing Runbear-managed PHI processing through BAA-covered services, including model inference, knowledge retrieval, and storage. Employees can ask in Slack and receive answers from connected sources such as SharePoint, Google Drive, and Confluence. Glean, Credal AI, Aisera, and Moveworks are alternatives to compare; confirm each vendor’s BAA coverage for the specific deployment.
A healthcare employee asks a question in Slack and receives an answer from SharePoint, Confluence, or Google Drive. That is the job here. Searching Slack messages is not enough when the actual policy lives somewhere else.
These platforms all connect enterprise knowledge to a conversational interface. The choices become clearer when you look past the connector list: whether you want a managed Slack agent or a broader search platform, how source permissions are enforced, and where the model processes the retrieved content.
This comparison is published by Runbear and uses linked vendor documentation reviewed on September 16, 2026. It is not an independent benchmark. Contract terms and individual features should be confirmed for the deployment you select.
The BAA needs to cover the answer, not just the documents
For an AI knowledge assistant, there are two data paths to review. First, the product connects to a repository, copies or retrieves documents, and prepares them for search. Then an employee asks a question, and the system sends that question and relevant passages to a model to produce an answer.
Both paths may handle protected health information (PHI). A security review that checks the database but ignores model inference misses part of the workload. A Business Associate Agreement (BAA) and the required downstream arrangements need to account for the actual services handling that information. HHS cloud guidance explains why processing PHI matters even when a service does not retain it.
Ask where the knowledge index, model request, response, and logs go. A SOC 2 report helps evaluate controls; it does not answer which AI services the BAA covers. Slack's own Enterprise and BAA requirements also apply separately. A third-party assistant does not inherit Slack's agreement simply because its answer appears in a Slack thread.
With HIPAA mode enabled, Runbear-managed PHI processing uses BAA-covered services. Lines show contractual relationships, not data flow. Slack and customer-connected systems retain separate agreements.
How the five platforms approach the problem
Runbear
Runbear puts a shared agent in Slack and connects it to selected company knowledge. Its incremental sync supports sources including Notion, Confluence, Google Drive, and SharePoint. An operations team can give the agent a defined set of documents and instructions, then let staff ask through mentions or DMs.
Enterprise customers can execute a BAA and enable organization-level HIPAA mode while keeping most Runbear functionality. This is not a separate negotiation for each team's workflow. Runbear's managed PHI processing follows a BAA-covered path for model inference, knowledge retrieval, storage, and supporting data services. HIPAA mode enforces that routing and blocks incompatible features rather than falling back to the general path.
The distinction between knowledge and tools still matters. Per-user authorization for compatible connected tools does not automatically determine who may retrieve indexed documents. Select the knowledge sources deliberately. Runbear provides its internal HIPAA processing setup; customers retain responsibility for their own Slack environment and connected systems.
Related demo: an employee asks how to request time off in Slack. This earlier recording uses the PlugBear name and illustrates the Q&A workflow, not a HIPAA-mode deployment.
Glean
Glean approaches the problem as enterprise-wide knowledge discovery. Its Slack experience brings context from connected systems into the conversation, which is useful when answers cross departmental boundaries and the organization wants a common search platform.
Its security documentation emphasizes source-system permissions on reads and writes. Glean Protect adds sensitive-content controls and oversharing detection. Those controls address an important problem: a document can be technically accessible but still inappropriate for a broad audience.
Glean publishes HIPAA information and a BAA. For a team already adopting Glean across the business, bringing that search into Slack may be a natural extension. For a single team's knowledge assistant, compare the required rollout and administration with that narrower need rather than assuming every search deployment has the same scope.
Credal AI
Credal's deployment options are a concrete difference. Its security page describes multi-tenant cloud, a managed single-tenant instance, deployment inside the customer's cloud, and air-gapped on-premises installation. It also supports customer-provided model keys and inference options through services such as Bedrock and Azure OpenAI.
That makes Credal relevant when the location and ownership of the processing environment are part of the buying requirement. Running in a customer's cloud does not remove the need to review the model and service agreements, but it gives the organization more deployment choices than a single hosted path.
Credal states that it mirrors source permissions for end users and publishes HIPAA support. Its Slack agent documentation covers deploying agents to channels and routing messages between them. Evaluate those controls together with the contract for the chosen deployment, not as a generic promise that every configuration handles PHI identically.
Aisera
Aisera connects knowledge answers with employee-service automation. Its integrations include enterprise knowledge and service systems, and its Slack guide describes making an Aisera application available in Slack. It is worth considering when finding an answer and starting a service request belong to the same project.
The TRAPS security documentation goes into moderation, role-based controls, and agent behavior. Use that material to examine the actual workflow. Public healthcare positioning does not establish which services are covered by the BAA for your Slack deployment; ask Aisera for the current agreement and processing details.
Moveworks
Moveworks distinguishes its dedicated enterprise search application from conversational search inside its AI Assistant. Its search documentation describes indexed and live sources, with the assistant delivering answers through interfaces including Slack.
Vetted Content is especially relevant to policy questions. When several similar documents exist, employees need to know which answer comes from an approved source. Look at how that designation appears in Slack and how it is maintained as policies change.
For buyers considering search alongside broader employee assistance, that is a useful combination to evaluate. Review the current security evidence and request the applicable BAA directly. Older contract language or a certification list is not a reliable substitute for the agreement governing a new deployment.
The differences worth taking into a demo
All five can participate in enterprise knowledge Q&A. This table summarizes the more useful distinctions in their published product approaches, not exclusive features or a compliance ranking.
Platform
Distinction and what to examine
Runbear
A shared Slack agent with selected knowledge and organization-level HIPAA mode. Check: The source set, indexed access model, and HIPAA processing setup for your organization.
Glean
Enterprise-wide discovery with permission and sensitive-content controls. Check: Repository coverage and how restricted or overshared content appears in Slack.
Credal AI
Cloud, single-tenant, customer-cloud, and on-premises deployment choices. Check: Which model, contract, and operational responsibilities apply to the selected deployment.
Aisera
Knowledge answers tied to service workflows and TRAPS controls. Check: Where an answer ends and an action begins, including approvals and covered services.
Moveworks
Conversational search and Vetted Content within an employee assistant. Check: Source freshness, approved-answer handling, and the Slack workflow's contract terms.
The configuration mistake a BAA will not fix
An operations lead wants an assistant to answer onboarding questions. The source folder contains the staff checklist, but it also contains files employees should not all see. Connecting the entire folder turns a useful search project into an access problem.
The BAA governs how the vendor handles covered information. It does not decide whether every document belongs in the assistant's knowledge source. Define the source set, check who may retrieve it, and consider who will see the answer if it is posted to a shared channel.
For an onboarding question, the useful result is simple: gather the training instructions, approval policy, and request form from their respective systems. Here is how that exchange can look in Slack.
Illustrative Slack conversation with fictional policies. Training, approval, and request instructions come from different company sources; the follow-up stays in the same thread. This is not a live customer exchange.
The follow-up matters as much as the first answer. The agent should use the approval rule it found, not invent an exception because the employee asks for one. The source links let the employee inspect the underlying instruction without making an operations lead reconstruct it again.
During review, also trace where that question and answer are logged. PHI in a query can make its logs sensitive even if the connected policy documents contain no patient information. Ask about storage, access, and retention for logs alongside the knowledge index and model request.
Choose the deployment you can explain
If the immediate need is a shared Slack agent over a selected body of knowledge, start with Runbear. If the project is enterprise-wide discovery, examine Glean. If processing must run in a particular tenant or customer-controlled environment, Credal's deployment options deserve a close look. Aisera and Moveworks are relevant when knowledge search is being purchased as part of a wider employee-service program.
Bring each vendor the same question and the documents needed to answer it. Include an outdated copy and a document the test user cannot access. That exercise will reveal more than five demonstrations built around five different scenarios.
Then ask one precise contract question: Which services are covered by the BAA you will execute with us, including model inference, the knowledge index, and query-log storage? A clear answer connects the product demonstration to the way it will actually run.
See your team's knowledge working in Slack
Bring a recurring question and the source documents. Runbear can demonstrate the workflow and explain Enterprise BAA support and organization-level HIPAA mode.
Eight products now put an AI agent inside team chat. Two structural choices separate them, and a third question, who the agent acts as, splits the field in half.
