Twelve AI employees, one page for the partners

The challenge

Each one finds something every day, but nobody reads it all. On Sunday nights Bram copies them into slides for the partners. Half the slides are noise, and the one that mattered, a rival opening beside a client’s flagship, sits on page twenty.

How the flow works

With xMap Flows, Bram built Atlas. Atlas is an AI employee: a flow of 6 blocks.

1. Every Monday at six,

   Mondays at 6 (Schedule)

2. Atlas reads what all twelve AI employees found this week against last,

   This week against last (Team findings)

3. keeps only the big moves,

   Only big moves (Filter)

4. writes the brief in plain words,

   Write the brief (xMap LLM)

5. turns it into five slides,

   Five slides (Make a report)

6. and posts them for the partners.

   Posted for the partners (Slack)

What it solves

• Sunday nights on slides: solved by Schedule and Make a report
• Too much noise: solved by Filter
• Key signal buried: solved by Team findings and xMap LLM and Slack

The result

At seven, the partners open five slides instead of forty. The rival opening beside the client’s flagship is on page one, with its figures. Bram has his Sunday back, and the client hears about it before lunch.

Twelve AI employees report to Bram. Now he reads one page.

An illustrative scenario: the figures are modelled to show what the flow produces, not a customer's results.

The flow, block by block

1. 1

   Mondays at 6

   Schedule

   Starts the flow on a timetable.

2. 2

   This week against last

   Team findings

   Reads everything your other AI employees found and turns it into findings with their figures: openings, closures and strong fits by city this week against the week before, rivals’ new branches near your own places, who is hiring, road incidents.

3. 3

   Only big moves

   Filter

   Keeps only the items that match a rule.

4. 4

   Write the brief

   xMap LLM

   Tell the AI what to do in plain words.

5. 5

   Five slides

   Make a report

   Turns the items that reach it into a clean PDF report with your logo and colour: the summary an xMap LLM block wrote for the whole list, the figures, charts of kinds and cities, a map and the list.

6. 6

   Posted for the partners

   Slack

   Channel-based messaging platform

Templates to build it

Ready-made flows with the same blocks. Open one, change the city and the kind of place, and run it.

• A monthly brief on your store networkOne monthly brief on your store network from everything your AI employees found.
• A weekly brief from your AI employeesOne brief a week from everything your AI employees found.
• Weather-driven promotions per storeA promotion idea for each store when heat or rain is coming.
• Rain warning for my delivery hubsWhen rain is coming at a hub, a customer notice is ready for the ops team.
• Heat advisory for the publicA public heat advisory drafted when it passes 45 degrees.
• Heat ahead: a note for the grid control roomA control room note on days of extreme heat ahead.

Industries

Learn how it works

• Location intelligenceUsing where things are, and what is around them, to make business decisions.
• Site selectionChoosing where to open a store, branch, clinic or facility.
• Lead scoringRanking prospects by how likely they are to buy.
• The Market analyst: a weekly briefAn AI employee that reads what your other employees found and writes the brief, with charts and plain findings.
• Build your first flow in ten minutesFrom a blank page to a flow that emails you a ranked list every morning.
• Enrich a list onceA CSV of addresses or companies back with phone, website, rating and an AI score.

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