One-minute narrated stories of a flow at work. The scenarios and figures are illustrative, not customer results.
Insurance broking
The challenge. Mia is an independent insurance broker in Auckland, with three hundred clients, from homes on the North Shore to boatyards in Westhaven. When a big storm is coming, she wants to warn every client. But she hears about it on the news the night before, and can call only twenty people. The rest wake up to flooded garages and loose roofs, claims she could have helped them avoid.
The flow. With xMap Flows, Mia built Sentinel. Every morning at six, Sentinel takes every client's property, reads the next three days of forecast at each one, picks out those facing winds above ninety kilometres an hour, writes advice that fits each property, and emails it from Mia, two days early.
The result. When the last storm turned towards Auckland, Sentinel warned one hundred and forty clients two days before it hit. Boats were lifted out, gutters cleared, furniture tied down. Her storm claims fell by a third, and four clients sent her their friends. Mia's clients still get storms. They just stopped getting surprised.
140clients warned in time
2 daysof warning, not one night
-33%storm claims
Blocks: Schedule → My data → Weather forecast → Filter → xMap LLM → Microsoft Outlook
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Health insurance
The challenge. Freya leads member services at a health insurer in London. Members email when their doctor sends them to physio: which clinic can I use? Her team looks up each policy, searches for clinics, checks the network. Each answer takes two days, and some members pay privately and claim later, at twice the cost.
The flow. With xMap Flows, Freya built Triage. When a member's email arrives, Triage reads what treatment they need, looks up their policy and where they live, finds physiotherapy clinics near their home, keeps the ones in the network, picks the three nearest, and replies within the hour.
The result. Yesterday, two hundred and forty members asked. Every one had three covered clinics near home within the hour, most a short walk away. Private bills fell by a third, and her team now spends its time on the hard cases. Freya's members used to wait for an answer. Now they wait for their appointment.
1 hto answer, down from 2 days
240members answered yesterday
-33%private bills
Blocks: Microsoft Outlook event → xMap LLM → Match with my table → Nearby places → Sort and limit → Microsoft Outlook
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Insurance brokerage
The challenge. Gloria is an independent insurance broker in Miami. She insures small apartment buildings and shops. Her best moment to win a client is the week a building changes hands, when the new owner needs a policy. She hears about sales from friends, weeks late. By then, the buyer’s lender has already found them an insurer.
The flow. With xMap Flows, Gloria built Deedwatch. Every weekday at seven, Deedwatch reads the county’s property records for buildings that just changed hands, keeps the sales over a million dollars, picks the apartment buildings and shops she insures, puts the biggest sales first, and emails her each new owner, the price and their mailing address.
The result. This Tuesday, Deedwatch finds fourteen buildings sold in Miami-Dade, six of them her kind. A twelve-unit building in Little Havana sold for two million dollars. Gloria’s letter reaches the new owner on Thursday, and she wins the policy. Gloria used to hear about sales from friends. Now she hears from the county.
14buildings sold this week
6her kind of building
1new policy won
Blocks: Schedule → Property changes → Filter → xMap LLM → Sort and limit → Email
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Car insurance
The challenge. Beatriz leads car claims at a large insurer in Rio de Janeiro. Two hundred drivers report a damaged car every day. Each driver waits on the phone while an agent hunts for a garage. The nearest one is full, the next one is across the bay. Cars sit for a week before anyone looks at them, and every day costs a rental car.
The flow. With xMap Flows, Beatriz built Relay. Whenever a new claim comes in, Relay finds the three approved garages nearest the car, checks their free slots in the garage list, picks the soonest repair, tells the driver where and when on WhatsApp, and sends the garage the claim file.
The result. Now a driver in Tijuca hangs up with a booking for Wednesday morning, at a garage two kilometres away. Cars reach a garage in two days instead of seven, and the insurer pays five fewer days of rental car on every claim. Beatriz's drivers stopped waiting for a garage. The garage is waiting for them.
2 daysto the garage, down from 7
5fewer rental days a claim
200claims booked a day
Blocks: New rows → Find nearest → Match with my table → Calculated field → WhatsApp Business → Gmail
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Car insurance
The challenge. Sipho leads the claims team at a car insurer in Cape Town. Most crash claims are honest. A few are not, and they look exactly the same. So every claim waits days for checks. Honest drivers wait for a tow truck and a payout, and his team spends its days doubting people.
The flow. With xMap Flows, Sipho built Witness. When a driver reports a crash in the insurer's Telegram bot, Witness checks the live road incidents at that spot, and if the road shows one there, sends a tow truck at once, while the others wait for a handler's yes, and then hear back on Telegram.
The result. Now six in ten claims match an incident on the road, and those drivers get a tow truck within minutes and their money in two days. His team looks closely at the rest, and last quarter found nine staged crashes. Sipho's team stopped doubting everyone. Now they trust the road.
6 in 10claims matched on the road
2 daysto pay honest drivers
9staged crashes found
Blocks: Telegram Bot event → Traffic incidents → Branch → Telegram Bot → Approval
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Marine insurance
The challenge. Seojun underwrites cargo insurance at a big marine insurer in Busan, one of the world's busiest ports. When a typhoon swings towards the coast, his clients’ ships are out there with insured cargo. He checks ship trackers in one window, the forecast in another, his policies in a third. By the time he calls the owners, the ships are in the storm.
The flow. With xMap Flows, Seojun built Wren. Every hour, around Busan port and its approaches, Wren lists every ship at sea, keeps only those carrying cargo he insures, checks the wind ahead where each one is, picks out the ones heading into a gale, and warns their owners while there is time to shelter.
The result. When the last typhoon turned north, Wren flagged seven insured ships six hours ahead of the gales. Five sheltered in the inner harbour, two slowed down at sea. Not one container was lost, and Seojun made seven calls instead of seventy. Seojun used to watch typhoons hit. Now he watches them miss.
7insured ships flagged early
6 hof warning before the gales
0containers lost
Blocks: Schedule → Area of interest → Ships (AIS) → Match with my table → Weather forecast → Filter → Slack
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Insurance broking
The challenge. Liam is an independent insurance broker in Dublin. His clients are small shops, cafes and pubs. Their cover pays out when roadworks close the street and customers cannot get in. But nobody tells Liam. A cafe owner mentions it six weeks later, after the deadline to claim. Last year, five clients lost money they were owed.
The flow. With xMap Flows, Liam built Robin. Every morning at seven, Robin takes every client's shop, checks for closures and roadworks outside, keeps the ones right on their street, works out the date the claim is due, waits for Liam's nod, and emails each owner how to claim, the same morning.
The result. This spring, Robin spotted roadworks outside eleven of his clients, from Temple Bar to Rathmines. Every one heard from Liam on the first morning, every claim went in on time, and nine have already been paid. Liam's clients used to miss what they were owed. Now he finds it for them.
11clients told on day one
0claims missed this year
9claims already paid
Blocks: Schedule → My data → Traffic incidents → Filter → Calculated field → Approval → Gmail
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Health insurance
The challenge. Megan runs provider contracts at a health insurer in New York. Members keep writing: there is no urgent care near me in your network. She knows the gaps exist, but not where. Every quarter, an analyst spends a month comparing lists of clinics by hand. By the time the report is ready, new centres have opened, and other insurers have signed them.
The flow. With xMap Flows, Megan built Cartographer. On the first Monday of each month, across the five boroughs, Cartographer finds every urgent care centre, skips the ones already in the network, keeps those rated four stars or more, scores how much each one is worth signing, and hands the contracting team a report with a map.
The result. Last month's report found thirty-eight well-rated centres outside the network, nineteen of them in Queens and the Bronx, where complaints were highest. Her team signed eleven in six weeks, and complaints about access fell by half. Megan stopped counting clinics. Now she closes the gaps.
38centres outside the network
11signed in six weeks
-50%access complaints
Blocks: Schedule → Area of interest → Nearby places → Match with my table → Filter → Jev decision → Make a report
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Health insurance
The challenge. Dao sells health insurance to expats and digital nomads in Chiang Mai. Her clients message her at all hours: I have a fever, which hospital takes my cover? She answers from bed at two in the morning, half asleep. Some go to the wrong hospital and pay up front. Then they blame the policy, and her.
The flow. With xMap Flows, Dao built Otter. When a client writes in her chat, Otter reads what they need, checks their policy in the policy list, finds the nearest hospitals that take it, and answers in seconds, with the address.
The result. Last night, a client woke with a high fever at three. Within twenty seconds he had two covered hospitals eight minutes away, and he went in without paying a baht. Dao read about it at breakfast, after a full night of sleep. Dao's clients get an answer at three in the morning. Dao gets her sleep.
20 sto the right hospital
0clients paying up front
8 hof sleep a night again
Blocks: Chat → AI agent → My data → Nearby places → Reply
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