The best dashboard is the one people actually open. For a lot of small teams, that's not a dashboard at all — it's Slack. Whoever's on shift already has it open. The owner checks it between other things. Nobody has to remember a separate login for "the AIVA thing" if the information just shows up where they're already looking.
The dashboard nobody checks
Every AI support tool comes with an analytics dashboard, and most of them go unopened after the first week. That's not a criticism of dashboards — it's how small teams actually operate. A clinic's front desk isn't going to tab over to a separate app to see if a booking came in. They'll see it if it shows up in the Slack channel they already have open, and they won't if it doesn't.
What shows up, and when
Connected to Slack, AIVA posts to the channels you choose as things happen: a new booking, with the customer's name, time, and which channel — voice, chat, or SMS — it came in on. An escalation, with a short summary of why AIVA handed off and a link to the full conversation. A daily or weekly digest of what customers are actually asking, if you want to spot a pattern — a question coming up often enough to add to your FAQ properly, or a service people keep asking about that you don't currently offer.
None of this requires anyone to check anything. It arrives — and a booking alert usually ends up doing more work than a notice. Front desk sees a customer's name and time show up in Slack before they even walk in, which matters more than it sounds for a walk-in-heavy business, where the first minute of an appointment is often spent asking questions the booking conversation already answered.
The setup that actually gets used isn't "everything in #general." It's routing by what matters to whom.
What actually gets sent, and what doesn't
It's worth being specific about what crosses over into Slack, because "it posts your conversations" oversells it in a way that would actually make the feature worse. A booking alert carries the customer's name, the time, and which channel it came in on — enough for whoever's at the front desk to recognise the appointment when the customer walks in. An escalation carries a short summary of why AIVA handed off, tagged by urgency, with a link back to the full conversation rather than the whole transcript pasted into the channel. The digest is a summary of patterns, not a log of every message.
What doesn't get posted is the rest of it — the full back-and-forth of every routine conversation, account details beyond what's needed to recognise who's involved, anything that isn't actually useful to whoever's reading the channel in passing. A support channel with forty people in it doesn't need the complete transcript of a routine hours question sitting in the message history forever; it needs to know a booking happened and to have a link if someone wants the detail.
This happens as it occurs, not batched — a booking that comes in at 11 PM posts at 11 PM, so a channel doesn't wake up to a pile of alerts from overnight that are all technically old news by the time anyone reads them.
A morning this plays out
At 8:50 AM, a booking alert lands in #front-desk: a 9:30 appointment, booked overnight by SMS, with the customer's name and what they asked about. The person opening up doesn't have to check a separate app to know the day already has a booking before the doors are even open. At 11 AM, an escalation lands in #support: a customer asking about a refund policy exception, tagged urgent, with a link to the full conversation — whoever's on call sees it within the channel they're already in, not a notification they have to go hunting for. On Friday, a weekly digest lands in #ops, showing that a specific question — about a service the business doesn't currently list on its website — came up eleven times that week, which is the kind of pattern that's easy to miss conversation-by-conversation and obvious once it's summarised.
Picking the right channel, not spamming #general
Bookings go to a channel your front-desk or ops team already watches. Escalations go to one that pages whoever's on call. The FAQ digest goes somewhere your owner or manager checks weekly rather than in real time. AIVA lets you route different event types to different channels, so the people who need immediate alerts aren't drowning in ones they don't.
This pairs naturally with AIVA's analytics dashboard rather than replacing it — Slack is for the moment something happens, the dashboard is for reviewing resolution rates and trends over a longer stretch. Teams that want both tend to use Slack for the day-to-day and the dashboard for the monthly review.
What happens during a burst
A reasonable thing to wonder about before connecting a live channel: what happens if a lot of conversations happen close together — a promotion goes out, a slow week suddenly isn't, and twenty calls come in over an hour instead of two or three across the day? Booking and escalation alerts don't get bundled or rate-limited quietly in the background; if twenty bookings happen, twenty alerts post, because a booking is exactly the kind of event someone needs to see individually, and dropping one silently because ten others happened around the same time would be worse than posting all twenty.
Where volume genuinely would flood a channel — the play-by-play of routine, non-escalated FAQ conversations, which nobody needs to see one at a time — that's precisely what the digest is for instead of a live feed. Rather than forty low-stakes messages a day competing for attention with the two that actually need a response, the pattern gets summarised on whatever cadence you set, and the channel stays usable for the alerts that are meant to be acted on immediately.
If a burst is heavy enough that even booking alerts start to feel like a lot, that's a routing decision, not a data-loss risk — splitting bookings into a channel of their own, separate from escalations and general chatter, keeps each one legible even on a busy day. Nothing about high volume causes an alert to quietly not arrive; it just means the channel you picked needs to be the right size for how much you're actually routing to it.
Considerations before you connect
Worth deciding upfront: which channels are genuinely the right destination, rather than defaulting everything into #general out of convenience — that's usually how a useful alert turns into noise nobody reads within a month. If your business runs multiple locations or teams in one Slack workspace, decide whether bookings should route by location as well as by type, so a manager at one branch isn't seeing alerts for a branch they don't run. And if a channel is private, make sure the people who actually need the alerts are members of it before you go live.
Setting it up
Connect your Slack workspace, choose which channels should receive which event types — bookings, escalations, digests — and set the level of detail each one needs. It takes a few minutes, and unlike a dashboard, nobody has to be trained to go looking for it.
If your team currently finds out about bookings and escalations by checking a dashboard nobody remembers to open, this is a small change with an outsized effect. See it alongside related options — Zendesk, Intercom — in AIVA's other integrations, check pricing, or start free and connect Slack in your first session.