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✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount

SleekView Kanban for Intercom Fin AI

SleekView Kanban reads Intercom Fin AI Fin AI conversations straight from the WordPress database, groups them into status columns from the conversation_status field, and lets your team drag cards across lanes to advance every item without leaving the WordPress admin.

♾️ Lifetime License available

SleekView Kanban board for Intercom Fin AI

Why Intercom Fin AI Fin AI conversations need a kanban view

Intercom Fin AI produces Fin AI conversations that move through several states before they are done. Each row in the conversations table stores a conversation_status, the linked target post, owner, and timestamps. The default WordPress list shows those rows as a flat table sorted by date, which is fine for one agent but turns noisy once a team is juggling dozens of items.

SleekView Kanban reads the same conversations rows and groups them by conversation_status, the natural pipeline column for this workflow. Each card surfaces visitor, last bot answer, agent, and updated time, so an agent can scan a lane without opening every row. Stuck and failing items sit in their own lanes instead of polluting the active queue.

Dragging a card between lanes writes the new conversation_status value back to the same Intercom Fin AI row, so background workers, retry rules, and any linked post stay in sync. Cards that share a parent keep their links, and bulk drags update every row in one SQL transaction, so a fifty card review pile clears in seconds rather than dozens of clicks across a long admin list.

Workflow

From conversations table to kanban in four steps

1

Point SleekView at Fin AI

Install SleekView, then pick Intercom Fin AI from the data source picker. SleekView auto-detects the conversations table, linked posts, and every custom field, so there are no queries to copy and no schema to map by.
2

Pick conversation_status column

Open the view config and set the group-by column to conversation_status. SleekView reads every distinct status value, then turns each one into a kanban lane with a live row count right next to the lane title on screen.
3

Choose what shows on cards

Decide which fields appear on the front of each card. Most teams pick visitor, last bot answer, agent, and updated time. Hidden fields stay queryable from the card detail panel without crowding the lanes, and the choice.
4

Turn on drag-and-drop writes

Flip the drag-and-drop switch and SleekView starts writing conversation_status changes back to the Intercom Fin AI row on drop. WordPress capability checks gate the lanes, so writers can move cards into review but only.

Sample board

Sample Fin AI Fin AI conversation board

A live SleekView Kanban grouping Intercom Fin AI Fin AI conversations by conversation_status, with card fronts showing visitor, last bot answer, agent, and updated time.
New
44
Pricing page visitor asking about seats
Fin: pricing answer, 1m ago
Docs page visitor asking about hooks
Fin: hooks answer, 3m ago
Landing visitor asking about a trial
Fin: trial answer, 5m ago
In progress
19
alex@startup.io live chat with Theo
live 3m, billing topic
rosa@brand.co live chat with Maya
live 5m, pricing topic
leo@firm.com live chat with Lila
live 8m, onboarding topic
Escalated
7
Billing escalation routed to billing
owner: billing lead now
Outage escalation routed engineering
owner: engineering lead
Refund escalation routed to support
owner: support lead now
Resolved
412
Plan downgrade question thread closed
resolved 1h ago by Theo
Onboarding video link thread closed
resolved 3h ago by Maya
Webhook setup help thread closed today
resolved 5h ago by Lila

Comparison

Default Fin AI list vs SleekView Kanban

Default Fin AI list

  • Flat WordPress list that orders every row by date with no editorial grouping
  • No instant sense of how many items are stuck in any single workflow state
  • Status changes need a row detail screen, a dropdown, and a save action each
  • Bulk actions cover delete and regenerate but not coordinated status moves
  • Mobile editors get the same dense WordPress table with horizontal scroll

SleekView Kanban

  • Groups rows by conversation_status with live row counts on every kanban lane
  • Drag a card between lanes to write the new status back to the Intercom Fin AI row
  • Card fronts surface visitor, last bot answer, agent, and updated time from the source rows
  • Stuck and failing items sit in their own lane so the active queue stays clean
  • Capability-aware drops respect WordPress roles so writers cannot publish to live

Features

What SleekView Kanban gives you for Intercom Fin AI

Native Fin AI field support

SleekView reads every Intercom Fin AI column directly, including visitor, last bot answer, agent, and updated time. Pick which fields show on the card front, which open in a side panel, and which stay hidden but searchable from.

Drag to change conversation_status

Every drop writes the new conversation_status value back to the Intercom Fin AI row in one SQL update. Background workers and retry logic pick up the change on the next tick, so manual moves and automated runs stay in step on the.

Filter by owner or attribute

A filter bar above the board narrows lanes by owner, source attribute, or date band. Saved filters are per-user, so a lead can keep a focused board while a teammate works on a different slice of the very same Intercom Fin AI.

Audience

Three teams using the Fin AI kanban

Small support teams

Support teams use the board as a triage queue. The new lane shows fresh chats, the waiting lane shows who is on the hook, and the resolved lane gives a clean end-of-day metric.

Pre-sales lead capture

Sales teams use a board filtered to high-intent pages to track conversion. Cards move from new to active to handed off, and lane counts surface conversion chats live.

Escalation triage queue

Tough chats need to land with the right specialist. The escalated lane gives leads a single place to assign expert agents and keep escalations from getting lost in the logs.

The bigger picture

Why a kanban beats a list for Fin AI conversations

Fin ai conversations are not data points. They are work items moving through a pipeline. Intercom Fin AI ships a capable engine, but the default list treats every row the same way no matter where it sits in the workflow.

An item queued for hours looks identical to one waiting in a review pile, and a failure that needs human attention is just another row buried under a sort. That works at five items a week. It falls apart at fifty.

A kanban board fixes the shape of the data, not just its presentation. Lanes give you instant counts, drag-and-drop turns status changes into a single gesture instead of a modal, and per-user filters let each person focus on the items they actually own. The same Intercom Fin AI data powers a different mental model, one that matches how real Fin AI support conversations work actually happens inside a busy team during a shift.

Questions

Common questions about SleekView Kanban for Intercom Fin AI

SleekView reads Intercom Fin AI data straight from the WordPress database, so any plan that writes rows to the standard tables works. Plan differences only affect what the Fin AI API returns, not how SleekView groups the rows or renders the kanban on the screen.

 

By default a drop only updates the conversation_status column. You can extend it with a hook that calls wp_update_post or similar when a card lands in a chosen lane, but SleekView keeps the two actions separate so accidental drags never push anything live without explicit confirmation from a human.

 

Yes. SleekView views are configuration only, so you can build one board filtered to one slice and another to a different slice from the same Intercom Fin AI table. Each user picks their default board, and admins can pin shared boards to the WordPress admin sidebar for the team.

 

SleekView reads distinct status values on every load, so any new status shows up automatically as its own lane at the end of the board. You can drag the lane into position, assign a color, and pick which fields its cards should surface, without rebuilding the view from scratch.

 

No. The drag handler updates the same conversation_status field that the Fin AI admin screen would update, so the next worker tick sees the new state and handles retries, sync, and any linked post updates exactly as it would if a human clicked the status dropdown manually on the row.

 

SleekView respects WordPress capabilities, so you can require publish_posts or a custom capability before a card can land in a given column. People still see the lane and can scroll it, but the drop target rejects their card with an inline message instead of silently failing.

 

Each lane uses a virtual scroller, so a column with five hundred rows still renders fast and stays responsive on a laptop. The lane header shows the exact count, and the filter bar at the top narrows large lanes without resetting the scroll position or any pending card.

 

SleekView reads and writes the existing Intercom Fin AI tables and never adds shadow tables for the source data. View configuration sits in its own small options table, so uninstalling SleekView leaves your Intercom Fin AI rows untouched and your pipeline exactly where it was before.

 

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