Suptask AI resolves your tickets from your own knowledge - automatically, inside Slack, and always under your control



























Requesters get accurate answers from your knowledge base automatically, without waiting for a free agent.
Suggested replies, summaries, and insights are handled by AI, so agents spend time on the work that needs them.
Every closed ticket gets an AI summary of the problem and solution - searchable in Slack and building team knowledge over time.
Nothing leaves Slack without your rules. Approvals, automation, and privacy are set by you, not the AI.
You build assistants from prompts and workflow tasks, connect them to your knowledge and systems, and set their triggers. They can suggest answers to agents, reply to requesters directly, or run workflow tasks - within the limits you define.
No. Suptask AI does not use your data to train any models. AI features are opt-in and can be turned off per inbox or for your whole account. You can read more in our AI Policy.
Yes. You can let assistants reply to requesters directly from your knowledge base, or keep them in suggest-only mode where an agent reviews before anything is sent.
Yes. Connect HRIS (such as Hibob) and user directories (such as Google Workspace) to enrich tickets, and configure workflow tasks for onboarding, access requests, and other recurring work.
It escalates to a human agent. You stay in control of which actions are automatic, which need approval, and which aren't allowed.
A classic chatbot has to be told what to do. Someone maps out the intents, the decision tree, and every branch in advance - and the moment an employee asks something slightly outside the script, it breaks. Every new use case means going back and building another flow.
Suptask AI doesn't run on predefined flows. You give it access to your knowledge sources and connectors, and it decides for itself what a request needs: pull the answer from your documentation, look up the employee's record in your HR system, check an issue in Jira, or open a ticket and route it to the right team. The reasoning happens per request, based on the tools available - not on a workflow you had to define first.