Slack AI bot: handle long-running tasks reliably

Slack Events API webhook: receipt is a separate job

For HTTP event delivery, Slack documents an acknowledgement deadline of three seconds and recommends queuing work outside event processing. This is a delivery deadline, not a promise that an AI task can finish that quickly. The guidance here concerns HTTP event callbacks, not every Slack integration mode. See the Slack Events API source below.

Design three separate outcomes: the platform received its HTTP acknowledgement, the application accepted responsibility for a task, and the business result became available to the user. A green endpoint check proves none of the later outcomes. Product language should reflect those distinctions: queued, running, completed, or needs attention.

Accept responsibility before saying queued

Slack documents signature verification against the raw request body and a timestamp check. Apply those checks before accepting an incoming event, then filter supported event types and verify the installation context. Slack authenticity does not itself establish permission to read an ERP record. See the request-verification source below.

Our recommended admission path writes an event and task reference to durable storage before returning success. Use a uniqueness constraint on the event identifier to connect duplicate delivery to the existing task. A worker can consume that durable inbox directly, avoiding an unsafe gap between saving the record and publishing a separate queue message.

Keep model calls and business-system requests out of this admission path. If durable acceptance cannot complete within the response budget, do not claim the task was saved. Monitor admission failures and plan recovery: platform retries are bounded and are not a substitute for an operational owner.

An inventory report, from request to result

Illustration, not a customer case: an operations manager asks for a stock-exception report from a legacy ERP. The application records the task, then posts a visible queued acknowledgement. A background worker checks record access, retrieves approved data and prepares a report with source references. It marks completion only after storing the result.

Keep workspace, requester and permitted response destination attached to the task. A report requested in a shared channel may contain information that should only appear in a restricted destination. If the final Slack notification fails, preserve the completed result and repair delivery separately. Do not regenerate an expensive report merely because its notification is missing.

Define the queue's operating limits

Before rollout, agree how long queued work may wait, who handles failures and when users should see an unavailable message. Measure queue age separately from processing time and notification delay. Add concurrency limits so a burst of chat requests cannot overwhelm the ERP or multiply model costs without a bound.

Test a worker restart after acceptance, duplicate event delivery, an unavailable ERP and a failed final notification. For each scenario, inspect the stored task and what the user actually sees. Event deduplication does not prevent a person from submitting a new request, nor does it automatically protect downstream writes. Those need their own business rules.

Start with one useful workflow and an accountable team

Choose a read-only report with clear access rules and a defined owner before adding actions that change business records. A small experienced team can use AI development tools to build the first workflow quickly, while keeping acceptance tests, monitoring and recovery procedures in the release plan.

UVISION provides dedicated developers and managed projects with at least one full-time developer, alongside long-term maintenance of critical and legacy systems. The ongoing work is to keep the agent useful as permissions, data structures and business processes change. The practical buying decision is whether your team can own that lifecycle, not just produce a convincing chat demonstration.