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Case study · WhatsApp support, Colombia

Nine people, one inbox, thirteen thousand messages.

Flik Flak handles its customer conversations entirely on WhatsApp. Nine people share a single inbox and an automated assistant sits in front of it. Over 29 days the system carried 13,398 messages, answered in a median of six seconds, and closed a quarter of every conversation without anyone on the team opening it.

6s

Median assistant reply

Across 2,216 replies. Not one waited longer than a minute.

26%

Conversations closed with no advisor involved

251 of the 973 chats that received a message.

99.6%

Messages delivered

53 of 13,398 failed, each with its reason recorded.

Six seconds, including the days nobody is working

The assistant replies in a median of six seconds, nine in ten inside eleven, and 99.9% of the time in under a minute. Across 2,216 replies in the period, not one took longer than five minutes. An advisor replying by hand during business hours takes a median of 5.4 minutes, which is a reasonable human speed and roughly fifty times slower.

The number that matters more is what happens when nobody is there. At night, on public holidays and across 523 out-of-hours messages, the median held at six seconds. On Sundays there are no advisors connected at all, so every single reply that day is automatic.

Nothing arrives to find the lights off. That is the part a bigger team cannot buy.

6s
Median assistant reply, in hours and out
99.9%
Answered in under a minute
523
Replies sent outside business hours

One conversation in four never reaches a person

Of the 973 conversations that received a message in the period, 251 were resolved without a single advisor opening them. The assistant now produces 34% of everything the system sends, which is a third of the outbound volume that nine people no longer type.

The rest escalate on purpose rather than by default. There were 712 explicit handovers in the period and 674 of them, 94.7%, ended resolved. A chat that reaches an advisor arrives already identified, with its history on screen, so the first thing a person does is answer rather than work out who this is and what they asked for.

The deflection is not the whole point. The handover being clean is.

251
Of 973 chats closed with no advisor
34%
Of all outbound messages written by the assistant
94.7%
Of 712 escalations ended resolved

Volume that swings five-fold, and nothing dropped

A typical business day runs about 500 messages across 45 active conversations. The busiest day in the period hit 1,168 and the quietest business day 225, a five-fold swing the system absorbed without slowing down. Alongside the text it processed and filed 612 photos, voice notes and documents, all readable from inside the conversation they arrived in.

99.6% of messages were delivered. The 53 that were not all hit the same thing: WhatsApp requires an approved template once more than a day has passed since the customer last wrote. The system records the exact reason against the message and shows it in the conversation, so the advisor knows to retry rather than assuming it went out.

Nine people sharing one inbox needs memory, not just speed. The period carried 612 internal notes that the customer never sees, 19 labels applied 283 times, per-contact internal nicknames, chat assignment with reassignment, and full conversation export. None of it is visible to the recipient and none of it is read by the assistant.

13,398
Messages processed in 29 days
1,168
Messages on the busiest single day
612
Internal notes kept between shifts

Every figure comes from direct queries against the production database for 21 September to 19 October 2026, with timestamps converted to Colombia time. The two go-live days before that window are excluded; they carried six and two messages. “Typical business day” is the median of Monday to Saturday rather than the mean, because several bulk-send days pull the average up. Sundays are reported separately since no advisor is connected. Response time is the interval between an incoming message and the next outgoing message in that same conversation, and a conversation is only counted once it has received at least one incoming message, so outbound sends with no reply are not counted as support. Flik Flak runs the messaging module only: there is no enrolment, signup or payment data in this system, and none is claimed here.

How long does a message sit in your inbox?

Most teams do not know, because nobody measures the gap between a customer writing and someone answering. Tell us where your conversations land and we will tell you what is reachable.