The Gravity Forms Webhooks Add-On stores each webhook configuration as a feed row in gf_addon_feed with the meta column holding the request URL, method, format, headers, and field mappings. Entries land in gf_entry and per-field values in gf_entry_meta. When a delivery fails, the log row in gf_addon_feed_log records the response code and body, but reading that JSON in the admin UI is painful and most site owners just want to know what went wrong.

SleekAI maps those tables into named variables your chatbot can reference. A staff member asks 'why did the Quote Request webhook fail at 14:02', and the bot can pull the feed's mapping, the entry's actual values, and the last log entry to explain 'the customer left the phone field blank, the receiving endpoint requires it, response was 422'. Display conditions scope a debug bot to /wp-admin/ and the administrator role only.

Generic bots cannot help here because they have never seen your feed configuration. They will invent header names, guess at status codes, or hand back a documentation link. SleekAI works against the live schema, so it can quote the exact request URL, the field IDs that map to which JSON keys, and the most recent response body.

The Webhooks Add-On is how most Gravity Forms sites integrate with the rest of their stack. CRMs, helpdesks, billing systems, and Slack channels all hang off the outgoing JSON, and when the bridge breaks the symptoms are scattered. A sales lead does not show up in the CRM, a customer gets no confirmation email, an internal channel goes quiet.

The root cause usually lives in the feed log table, but you have to know which feed to look at, which entry triggered it, and how to read a stored response body. A generic AI chatbot has no idea any of that exists. It cannot quote your endpoint URLs, it cannot map a 422 to a missing phone field, and it certainly cannot tell you which four entries from today need a follow-up call.

SleekAI runs against the real Gravity Forms tables, with the same access an admin already has, so the bot becomes a fast layer on top of the data the add-on is already collecting. The result is shorter outages, fewer dropped leads, and a much more honest answer when someone asks why a webhook failed.