Multi-branch retail · Mid-sized · 200 people

A leadership report at 07:00 every morning, with nobody writing it

AI pulls sales, stock, customer chats and issues from every branch into a morning summary with observations, sent to leadership on LINE

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Work in

Morning exec report+ human approval

To the customer

A person approves before it ever reaches the customer· drag to rotate

Work arrivesAccounts and sales spend 2 hrs every morning pulling numbers from several filesThis is where the old way starts

The AI agent does itThe AI agent does itAt 06:30 an AI agent pulls from POS, stock and chat, compares against target and last week, and flags what looks wrong (branches down, stock running out, negative reviews)

A person decidesA person approvesThe report is observations, not decisions · every figure can be clicked back to its source

Result0 hrsTime spent on the report

Example: Morning exec report

LIVE DEMO

1 · Work arrives

Accounts and sales spend 2 hrs every morning pulling numbers from several files

2 · The AI agent does it

At 06:30 an AI agent pulls from POS, stock and chat, compares against target and last week, and flags what looks wrong (branches down, stock running out, negative reviews)
Leadership can ask follow-ups in the chat — "which branch is down and why?" — and it answers from the real data
Connects to POS / ERP
Connects to Google Sheets

3 · You just approve

The report is observations, not decisions · every figure can be clicked back to its source

Approve in one click

Result

0 hrs

Time spent on the report

0 hrs

Time spent on the report

was 2 hrs/day

07:00

Leadership sees numbers

was 10:00

same day

Branch problems surface

was 2–3 days

Before · through 3 hand-offs, each waiting on someone free

Today

3 steps, all by hand

1Accounts and sales spend 2 hrs every morning pulling numbers from several files
2Leadership sees the figures at 10am and usually has follow-up questions
3Problems at branches reach head office late

With keelz

2 steps

1At 06:30 an AI agent pulls from POS, stock and chat, compares against target and last week, and flags what looks wrong (branches down, stock running out, negative reviews)
2Leadership can ask follow-ups in the chat — "which branch is down and why?" — and it answers from the real data

This is what you actually get

What your team sees every day once it is running — a person still approves anything that matters (Delivered in 4 weeks)

Morning summary on leadership's LINEEvery day at 07:00

Yesterday's sales THB 1.42m (+6%) · 3 overdue accounts totalling 380,000 · Line B at 96% capacity five days running

Needs a decision

Approve overtime on line B, or push back which customer's slot?

Pulled from the live systems every morning — no waiting for anyone to build a report

An illustrative example — the names and figures are invented so you can see the shape of the work; the real thing is built around your business.

Where people decide

The report is observations, not decisions · every figure can be clicked back to its source

What it connects to

POS / ERPGoogle SheetsLINE NotifyExisting dashboard

Delivered in 4 weeks

Other use cases

All use cases A quote out of a chat message, done in 10 minutes Booked, reminded and followed up — without the admin having to remember Purchase orders from email and LINE, into the ERP automatically Read client receipts, post them, reconcile, close the month sooner Status updates, COD reconciliation and collections, on their own An in-house LLM that answers from your documents, with nothing leaving the company A week of content, short video and social — approved once Applications screened, interviews booked, everyone answered — inside a day Rank on Google and inside AI answers (SEO · AEO · GEO), measured weekly A one-person shop with AI as its admin, bookkeeper and marketer Applications, parent questions and document chasing, around the clock Ad leads qualified, viewings booked, follow-ups never dropped

Want to know whether this fits your business? Book a free 30-minute call

No cost, no commitment — tell us how the work really runs and we will point out where starting pays off most

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