1. Start with a primary source
Identity, role and experience come from customer-supplied, authorized video or source material. If the video does not yet have a public URL, we say so.
Cases
What an AI agent looks like inside a real operation
8 industries, 8 operations. What used to be manual, what the Met does now and which integrations make it work.
How do businesses actually use an AI agent day to day?
Not as a question answering bot, but wired into the systems where the work already lives. A property manager routes three departments arriving on one WhatsApp number and books the showing against real open slots. A food distributor answers price and stock by reading its accounting system in the moment, and leaves the route order built. A restaurant accepts a delivery order with the real prep time and switches off what the kitchen ran out of. A vehicle rental operator answers availability at two in the morning. An agency turns a meeting transcript into a brief. And a food platform picks its content topic from search data before publishing. In health, a medical equipment store reads its catalog before handing off to an advisor, while a veterinary retailer keeps WooCommerce and Mercado Libre aligned with ICA compliance checks. All 8 are below, with the integrations behind them and what each one does not do.
And by name, on video: Barril y Panceta answers WhatsApp delivery orders instantly and says customer capture grew by 20 to 30%; CrayOne runs collections, sales and service and reports 40% less operational load; Moon Parfum organized service for about 3,000 messages a month; Mega Alfa Transportes collects documents and sends alerts over WhatsApp; and Sanity books and serves clients 24/7. Does your business look like one of them? Book a demo and we will show you how it would work in your operation.
To move from evidence to process design, explore AI process automation for business, where every procedure separates its trigger, tools, requirements and limits.
- Industries
- 8
- Integrations
- 12
- Tools
- 178
Real tools from the connectors that appear in these cases.
Editorial method
How we verify a customer case before publication
A customer story becomes useful evidence when its source, attribution and limits remain visible. We do not turn it into a general Meteor promise.
2. Keep every claim attributed
A number or result stated by a customer remains that customer’s account. It does not become a Meteor KPI, rating, guarantee or platform measurement.
3. Check the product capability
General capabilities linked from a case are checked against published product, integration and tool documentation. A customer story does not authorize us to invent a connector or action.
4. Publish the limit too
Each page separates what the source documents from what it cannot support. If a source or capability changes, we correct the page under our editorial principles.
See which sources anyone can open, which ones remain pending and which operations are published anonymously in the public customer evidence register.
Featured stories
A restaurant, an agency and a partner who grow with AI
Restaurants and delivery
Barril y Panceta
20 to 30% more delivery customers captured, according to the restaurant
Near-instant responses and many more customers served at once. The operator no longer types answers: they check that orders are in order. The restaurant says capture grew 20 to 30% and that the AI recommends products to raise the average ticket.
Read the case
Marketing and sales
Julián Chavarro
24/7 service from first message to closed sale, according to Julián
An agent that works 24/7, from onboarding to closing the sale, with audio and images. His team now focuses on bringing in leads, and he later implemented it for his clients.
Read the case
AI partner ally
Alejandro Galeano
He reviewed many AI tools before choosing Meteor for his clients. He highlights the academy, the team’s support, the freedom to manage his time and clients, and an additional income stream.
Watch his story7 video case studies
AI agent success stories from businesses in Colombia
Unanswered messages, lost orders, teams that cannot keep up: if that sounds familiar, see how these businesses solved it with Meteor and what changed in their operation, in their own words.
Video on YouTube Health and beauty
Sanity
24/7 service for booking, questions and answers, according to Ana
Problem: The client experience starts before the assessment, and the team needed to answer, book and follow up at any hour without neglecting its core work.
Result: 24/7 service for booking, questions and answers. Ana says schedules are more organized, payments are clear and follow-up is automated, so the team can focus on what each person should be doing.
Read the full case Video on YouTube Restaurants and delivery
Barril y Panceta
20 to 30% more delivery customers captured, according to the restaurant
Problem: Orders arrived all at once and two people answering WhatsApp could not keep up. A delivery customer is hungry now: answer ten minutes later and they may change their mind.
Result: Near-instant responses and many more customers served at once. The operator no longer types answers: they check that orders are in order. The restaurant says capture grew 20 to 30% and that the AI recommends products to raise the average ticket.
Read the full case
Video on YouTube Financial services
CrayOne
40% less operational load, according to CrayOne
Problem: Collections, sales and customer service were shared by the same team and took over the daily operation of a lending company.
Result: An AI agent supports collections, sales and customer service. CrayOne says it cut operational load by 40% and optimized operating costs.
Read the full case
Video on Instagram E-commerce and fragrances
Moon Parfum
3,000 messages a month they could not answer on time, according to Darwin
Problem: About 3,000 messages a month, on top of returning customers, and they could not answer everyone on time. Two people hired for a month did not reach the sales results they needed.
Result: With Meteor they configured the whole sales structure step by step, through closing. Darwin says the platform helps them streamline processes, speed up sales and serve customers more effectively.
Read the full case
Video on YouTube Logistics and transport
Mega Alfa Transportes
Problem: Slow turnaround: information about documents, vehicles and maintenance was not connected in one place to make decisions.
Result: Automatic document-expiry alerts, worker document uploads over WhatsApp and preventive-maintenance records. Santiago says they see all the information in one place and decide much faster, with less operational load on the team.
Read the full case
Video on YouTube E-commerce and mentoring
Negocios Conscientes
Problem: WhatsApp and social media campaigns brought messages nobody could answer: customers left waiting and sales lost.
Result: An AI agent sells, resolves customer requests and books inside the conversation while she focuses on scaling and producing. About her own store she says: “it saved our lives.”
Read the full case Video on YouTube Marketing and sales
Agencia de marketing digital
24/7 service from first message to closed sale, according to Julián
Problem: He wanted to automate sales and customer service, but the bots he tried answered with buttons and numbers, felt robotic and brought poor results.
Result: An agent that works 24/7, from onboarding to closing the sale, with audio and images. His team now focuses on bringing in leads, and he later implemented it for his clients.
Read the full caseAlso read: Dakeva, confirmed bookings after hours
Partners
AI partner allies
Agencies and consultants who implement Meteor AI agents for their clients and grow a new line of business with AI.
Juan Camilo Peinado
Owner of a digital marketing and AI agency
His agency ran advertising, but the leads it brought in were lost because the sales team could not keep up. With Meteor he implements AI agents that respond instantly, qualify leads and book appointments in health, e-commerce, restaurants and financial cooperatives.
“An AI agent answers you at any moment, any time, with supremely clear information about the business.”
40 % less operational load on his clients’ sales teams, according to Juan Camilo
Read the transcript · Part 1: the problem
Hola, mi nombre es Juan Camilo Peinado y tengo mi propia agencia de marketing digital e inteligencia artificial. Anteriormente, en mis servicios solo estaba la parte de la publicidad, pero siempre había un inconveniente entre el marketing y el equipo comercial: las acciones que uno hacía en mercadeo para la tracción de clientes no se reflejaban en las ventas finales, debido a que el equipo comercial a veces no tenía tiempo. Había muchos procesos internos del mismo equipo comercial y no podían atender la cantidad de clientes que llegaban. Por lo tanto, se perdían muchas ventas, se perdían muchas oportunidades, y eso frustraba mucho el trabajo que uno hacía de marketing y también el resultado de ventas del equipo comercial.
Watch on YouTubeRead the transcript · Part 2: what he implements today
Con ayuda de Meteor tuve la oportunidad de darles a conocer a estas empresas, a estos negocios, e implementarles agentes de IA que puedan mejorar todos sus procesos de venta de cara al cliente: responder más rápido, tener un mejor servicio, no perder oportunidades de venta, calificar al cliente y agendar citas, todo de una manera muy rápida, porque un agente de IA te responde en cualquier momento, en cualquier instante, y sobre todo con persuasión y una información del negocio supremamente clara. Hemos implementado varios agentes de IA en diferentes nichos, como la salud, el e-commerce, los restaurantes y las cooperativas financieras, entre otros. Y esto ha repercutido en disminuir un 40 % las cargas operacionales que tenían los agentes comerciales, que hacían múltiples tareas al mismo tiempo, lo cual también hacía que perdieran ventas y no llegaran a sus comisiones de venta.
Watch on YouTubeAlejandro Galeano
Meteor partner
He reviewed many AI tools before choosing Meteor for his clients. He highlights the academy, the team’s support, the freedom to manage his time and clients, and an additional income stream.
“Of all the tools I reviewed, Meteor was the one that seemed most complete to me.”
Read the transcript
Los beneficios de ser partner de Meteor son todos los relacionados con la academia: estás todo el tiempo aprendiendo cosas nuevas y te mantienen a la vanguardia de lo que está surgiendo y de hacia dónde está apuntando el mundo tecnológico. Tienes el apoyo del equipo de trabajo, manejas tu tiempo, tienes disponibilidad para trabajar a tu ritmo y para manejar tus clientes de la manera que prefieras. Tienes la posibilidad de conocer nuevas personas que también están en este mundo, y se empieza a generar una dinámica muy chévere de colaboración, cooperación y trabajo en equipo. Y tienes una fuente de ingreso adicional. Ser partner de Meteor fue una elección muy sencilla, porque Meteor es la mejor herramienta de inteligencia artificial que yo encontré en el mercado. Yo revisé muchas, y definitivamente el trabajo de Meteor, el equipo de trabajo que tiene y cómo funciona la herramienta me parecen increíbles. Yo creo que nadie tiene una forma de implementar como Meteor, con método. Son muchas razones, pero de todas las herramientas que revisé, Meteor fue la que me pareció más integral, y la que dije: esta va a satisfacer mejor la necesidad de mis clientes que cualquier otra.
Watch on YouTubeSantiago Pedroza
Logistics coordinator at Mega Alfa Transportes and Meteor partner
He first implemented Meteor in his own transport company. When he saw it solved his operation, he became a partner and brought it to a similar business.
“We decided to become Meteor partners because it perfectly solved our own business’s need.”
Read the transcript
Decidimos convertirnos en partners de Meteor, ya que solucionó perfectamente la necesidad de nuestro propio negocio, y lo pudimos ayudar a implementar en un negocio también muy similar. Vimos una oportunidad muy grande en este nuevo mundo de la inteligencia artificial. Recomiendo Meteor porque hace un trabajo muy profundo: entiende las necesidades de cada cliente, las aborda muy bien y las ve como oportunidades de mejora. A diferencia de otras empresas similares, Meteor se adapta al cliente, y no el cliente a ellos: busca la manera más sencilla y más amigable para que todo el mundo pueda utilizar la inteligencia artificial en sus procesos internos.
Watch on YouTubeJulián Chavarro is also a partner: his story is published as a customer case.
Read his caseWant to implement AI agents for your clients?
Learn about the partner program8 operations
Cases by industry
Each one reads top to bottom: the operation, what it cost by hand, what the Met does and where it stops.
Property management Colombia
Three departments arriving on one WhatsApp number
A property management firm fields roughly thirty requests a day across WhatsApp, the website form and email. They come in mixed together: someone looking to rent, someone reporting a leak, someone asking about a lease renewal, all on the same line.
What used to be manual
- A person read every message and decided which department owned it. Leasing, maintenance and administration shared one inbox.
- Listing details were looked up in the system and pasted into the chat, one photo at a time.
- Booking a showing took three rounds of messages before anyone found a slot the agent could actually make.
- A maintenance report showed up as a loose voice note: no address, no photo, nobody assigned.
What the Met does
- The Met searches the Wasi portfolio by city, property type, budget and area, answers only with listings that are live and published, and sends the full photo gallery when the prospect asks to see more.
- The moment the prospect gives a name and a phone number, the client record is created in Wasi, where the sales team already works, instead of in a separate notebook.
- Showings come from real open slots on the calendar, get confirmed inside the conversation, and get moved right there when plans change.
- A maintenance report becomes a contact with its tag, its internal note and its reminder, and the conversation moves to the technical team with the reason written down.
Where it stops
- It does not publish or edit listings. It reads the whole portfolio, but inventory is still loaded in Wasi.
- It does not sign contracts or handle leases and rent payments.
- It does not book showings inside Wasi. They live on the Meteor calendar, which writes to the agent's Google Calendar or Outlook only once that account is connected.
Food distribution Colombia
Route orders stopped living on personal phones
A food distributor sells to restaurants, hotels and neighborhood stores along fixed delivery routes. Orders arrive on WhatsApp at any hour, and usually the night before the route runs.
What used to be manual
- Every rep worked from a personal line. When someone left the company, their customer history left with them.
- Prices and stock were checked by hand in the accounting system, or answered from memory.
- Orders were retyped from the chat into the order form, with data entry errors as a standing risk.
- Collecting on a past due invoice depended on somebody remembering to call.
What the Met does
- The Met identifies the customer by phone number even when they write from a new one, then confirms list price and warehouse stock by reading Alegra in the moment.
- It builds the quote with a link to the formal PDF inside the same conversation. When the customer accepts, the order reaches the team with the line items and the total, and someone records it in Alegra from the desktop.
- When the customer says they paid, the Met notes it in the conversation so the team records the payment in Alegra from the desktop: fiscal records are never touched over WhatsApp.
- Past due invoices get listed, and the collection reminder goes out on WhatsApp on the agreed date.
- The whole conversation stays in the CRM with its history, its tags and its assigned rep.
Built on
Where it stops
- It does not replace your accountant. This is an operating window into Alegra, not accounting judgment.
- Meteor leaves the invoice ready in Alegra as a draft, and you issue it to the DIAN from Alegra. The invoice tools sit behind an explicit human confirmation, and a Met can have them turned off entirely.
- The Met does not message the whole customer list at once. Collection reminders go out one at a time as approved templates. A notice to many customers goes through Broadcasts, with a Meta-approved template, a segment built from tags or contact fields and a messages-per-minute cap that protects the line.
Restaurants and delivery Colombia
The counter tablet stopped being the bottleneck
A casual dining restaurant with several locations takes delivery orders through Rappi and table reservations through WhatsApp. Both land at the same time, during the same rush.
What used to be manual
- Orders were accepted from the tablet at the counter. During the rush, any order nobody got to canceled itself.
- When the kitchen ran out of an ingredient, the item stayed listed until someone logged into the portal to switch it off.
- With the kitchen backed up, orders kept coming in that were not going to be filled on time.
- Table reservations were confirmed by message and recorded nowhere, so on the day itself nobody knew how many tables were committed.
What the Met does
- The Met sees incoming orders, accepts them with the real prep time, and later marks them ready for the courier to pick up.
- It switches off sold out items by SKU without touching their price, and switches them back on when the ingredient arrives.
- It closes the storefront when the queue backs up and reopens it when the kitchen catches up, instead of stacking up orders nobody can fill.
- Table reservations come from real open slots, get confirmed in the conversation, and get moved or canceled right there.
Where it stops
- It does not change prices or edit the menu. It only turns availability on and off for items that are already published.
- It does not manage couriers or delivery times. That side belongs to Rappi.
- It does not resolve marketplace disputes or refunds.
Vehicle rental
Availability gets answered at two in the morning
A vehicle rental operator serving international travelers gets inquiries around the clock and in several languages. The booking is decided on the spot: anyone who does not hear back writes to the next company on the list.
What used to be manual
- Every availability question meant someone had to open the reservation platform and check dates.
- Outside office hours there was no answer, and a good share of traveler inquiries land precisely outside office hours.
- Add ons were offered from memory, and sometimes not offered at all.
- The morning started with someone assembling the day list of pickups and returns by hand.
What the Met does
- The Met searches HQ Rental for availability by date range and location, and answers with the classes and prices the business already verified in the platform.
- It offers add-ons read from the account’s actual charge list, such as insurance, GPS, a child seat or an additional driver, so it only offers what the company actually sells.
- For a customer already registered in HQ Rental, it creates the full reservation: dates, pickup and return locations and additional charges. A new customer is registered in the platform first.
- It answers in the language the customer wrote in, with nobody on shift.
- The daily manifest gives pickups, returns and fleet status, which is what organizes the morning.
Where it stops
- It does not charge or process payments. It creates the reservation with its charges; the payment runs through whatever gateway the business already uses.
- It does not cancel or modify an existing reservation. It reads and creates; changes are made in the platform.
- It does not sign the rental agreement or handle the legal paperwork.
- It does not manage fleet maintenance. It reads vehicle status and mileage, nothing more.
Marketing and design agencies Colombia
The brief stopped living in one person’s head
A digital agency with several years behind it has mature processes and a concentration problem: the person who runs production is the only node connecting the brief, the plan and the delivery. Everything goes through them.
What used to be manual
- The brief was filled in during the meeting and came out half done. Whatever was missing got reconstructed later from memory.
- The meeting recording, the contract and the client files ended up in different folders, when anyone remembered to file them at all.
- Account health was known by feel. Nobody could say how many revision rounds a deliverable cost.
- Pipeline follow up lived in email, and a stalled opportunity announced nothing.
What the Met does
- The Meet transcript feeds the brief, and client files get found in Drive without opening Drive.
- The Met appends tracking rows to the spreadsheet without overwriting what was already there, and searches and sends email through Gmail from the authorized account.
- The client record, its tags, its internal notes and its pipeline stage live in the CRM, and the pipeline summary answers how many opportunities and how much money sit in each stage.
- The monthly client dashboard is built as a page inside Meteor using the operation’s own data.
Where it stops
- The transcript exists only if the meeting was recorded with transcription on. That depends on how the meeting was set up, not on the integration.
- It does not delete email or files, and it does not administer Google Workspace users, licenses or policies.
- Meteor pages do not version changes: an update overwrites the previous content.
- It does not sign documents. Electronic signature is not part of the platform.
Agrifood commerce Colombia
Producing the content stopped being the launch bottleneck
A platform connecting food markets and wholesalers to end consumers reached launch with a finished product and no traction. The problem was not the technology: it was making noise with a small team and a commercial window that does not come back around until next year.
What used to be manual
- Every social post was designed one at a time and published by hand, account by account.
- The topic came from the team’s instinct, not from what people were actually searching for.
- Nobody looked at which queries were already bringing traffic, so new content kept repeating what was not working.
What the Met does
- The Met checks Google Trends to see which terms are rising and in which region, and picks the topic from data instead of a hunch.
- It generates the image or the video for the post from a description, without opening a design tool.
- It publishes the post to the Facebook page and the image, carousel, story or reel to Instagram, straight from the content queue.
- Search Console reports which queries already bring traffic and which pages receive it, and that report comes back to the team every week.
Built on
Where it stops
- This operation is organic publishing: paid advertising and conversion events were outside its scope. Paid ads are a separate skill, connected on their own.
- Replying to comments and mentions on the posts is not included by default, and this operation does not use it; if it matters to you, we look at it in the demo. Instagram and Messenger direct messages are handled through the Meteor channels, within 24 hours of the person’s last message.
- Google Trends returns a relative index from zero to one hundred, not how many people searched for something.
- The connector this operation publishes with returns the post identifier, not its reach or engagement. The weekly follow-up comes from Search Console.
Medical equipment e-commerce Colombia
The product question reaches a human advisor with its full context
A medical equipment retailer combines a broad WooCommerce catalog, support from several locations and products that cannot always be handled with a generic answer. The customer needs to know which item exists and, for consultative cases, speak with a person.
What used to be manual
- Every product question required someone to search the store before answering with price, characteristics or availability.
- The sales team received mixed conversations, with no clean separation between a catalog question and a case that needed advice.
- When a conversation changed hands, the next advisor had to reconstruct which product the customer had seen and what remained unresolved.
What the Met does
- The Met searches WooCommerce by name or SKU and reads the live product record with price, stock, attributes and images before answering.
- The contact, history, tags and notes remain in Meteor CRM instead of depending on the phone a person used to respond.
- When the question requires human judgment, it hands off with a summary and reason, pauses itself and assigns the right advisor.
Where it stops
- It does not provide clinical judgment or replace advice from a health professional.
- It does not charge or verify the store payment method. Payment still happens through the gateway configured in WooCommerce.
- This case does not claim an Odoo quoting workflow: that scope needs operational evidence before it can be published.
Veterinary and agricultural commerce Colombia
The store becomes the marketplace source of truth
A veterinary retailer sells through its own store and Mercado Libre. The challenge is not merely copying a catalog: price, stock, category and compliance have to stay aligned without touching listings the company already managed elsewhere.
What used to be manual
- Listing one SKU required choosing a category, filling required attributes and checking again whether the product was eligible.
- Price and stock could drift between the store and the marketplace, creating a risk of selling the same unit twice.
- A marketplace sale had to be reflected back in store inventory.
What the Met does
- WooCommerce keeps the product record, variations and stock that act as the source of truth.
- The Met prepares the Mercado Libre listing, reads required attributes and, for veterinary products, checks the ICA registry before listing.
- The sync recalculates price with fees, taxes and shipping, mirrors stock and only operates listings marked with a managed SKU.
- When a Mercado Libre sale arrives, it deducts the sold SKU and quantity in WooCommerce.
Where it stops
- It does not guarantee Mercado Libre will approve a listing; the marketplace makes the final decision.
- It does not answer buyer messages inside Mercado Libre or manage marketplace fulfillment.
- This case does not attribute Rappi operations to Meteor until a channel-specific trace is verified.
The next leg
When the order has to ship with a carrier
None of these cases ends in a shipping label. Plenty of operations do, and that leg is handled from the chat too.
Aveonline
11 toolsRecommended partner
It handles the order end to end on AveCRM: reads the catalog with prices and variants, builds the order and shows you items, totals and customer details before creating it. Confirming the order is what triggers the shipping label with the carrier, and the response comes back with the carrier and the freight cost. It also moves the internal status and voids the order, returning items to inventory.
Where it stops: an order that already has a shipment number cannot be voided, and it does not quote or track on its own.
See the Aveonline pageTCC
23 toolsIt quotes against your commercial agreement and returns the real amount with the charges itemized, tracks one shipment or many at once, translates the status into plain language and, when there is an exception, says whether it falls on the carrier, the customer or a third party. Before promising cash on delivery, it confirms the destination accepts it.
Where it stops: these are read only tools. It does not create shipments, request pickups or void labels.
See the TCC pageThe full catalog of connectors is on the integrations page.
Benefits
What AI agents are for: less manual work, more sales closed
24/7
Support that never pauses
Your business answers and sells outside business hours too.
Seconds
Instant first reply
Every customer gets a first answer right away, at any hour.
0
Leads without follow-up
Reminders and automated sequences so no prospect goes cold.
100%
Conversations on record
Every chat, order and quote stored and measurable in the CRM.
1
One operation, one place
Customers, orders and quotes in a single place, not across five tools.
302
Integrations ready to go
Connect your store, your logistics and your tools with no custom build.
Testimonials
Companies already using AI agents: real businesses selling with Meteor
Do not take our word for it: hear it from the ones who already automated.
Kelly Cardona
CEO · Dakeva
“Since we got Meteor, I often go to sleep and the next morning we have confirmed bookings.”
Public first-person source
Open the original video on YouTube (opens in a new tab)Published on YouTube
Julián Chavarro
Owner · Digital marketing agency
“With Meteor I automated sales and customer service 100%.”
Public first-person source
Open the original video on YouTube (opens in a new tab)Published on YouTube
Ana
CEO · Sanity
“With Meteor we give our customers 24/7 support.”
Public first-person source
Open the original video on YouTube (opens in a new tab)Published on YouTube
Barril y Panceta
Restaurant · Delivery
“We increased customer capture by roughly 20 to 30%, and we can serve many more customers.”
Public first-person source
Open the original video on YouTube (opens in a new tab)Published on YouTube
CrayOne
Financial services
“This has allowed us to reduce our operational load by 40%.”
Public first-person source
Open the original video on YouTube (opens in a new tab)Published on YouTube
Santiago Pedroza
Logistics coordinator · Mega Alfa Transportes
“You can see all the information in one place and make decisions much faster.”
Public first-person source
Open the original video on YouTube (opens in a new tab)Published on YouTube
Jenny González
E-commerce mentor · Negocios Conscientes
“Now that I have it, it has saved our lives.”
Public first-person source
Open the original video on YouTube (opens in a new tab)Published on YouTube
Public customer reviews
What customers say about Meteor on Google
Each quotation links to its public source. These are attributed customer accounts, not audited metrics, guaranteed results or a score created by Meteor.
“Una compañía de tecnología que se preocupa realmente por sus clientes, esto es de mucho valor, tomen sus 5 estrellas cracks!”
Camilo Peinado
Read the original review on Google (opens in a new tab)Source checked
“Nuestro aliado estratégico en i.a para clientes. Hemos crecido muchísimo este último año, con el apoyo de quienes nos permiten mirar de dentro sus empresas para ofrecerles soluciones”
Andrés García Carpizo
Read the original review on Google (opens in a new tab)Source checked
“Excelente plataforma para Gestionar Agentes de IA, fácil de usar, soporte 24/7 y actualización constante. Muy recomendados”
Ximena Villalobos
Read the original review on Google (opens in a new tab)Source checked
“Como empresa implementamos Meteor y es lo mejor que pudimos hacer, nos facilitó muchos procesos que teniamos manuales y nos ayudo a gestionar mejor nuestros tiempos. Súper recomendados”
Cindy Rivas
Read the original review on Google (opens in a new tab)Source checked
“Responsive, etic and quickly company”
ALEJANDRO STEEVEN GALEANO MORENO
Read the original review on Google (opens in a new tab)Source checked
“Meteor es una plataforma maravillosa que está realmente pensada en el cliente final, que tiene un nivel de respuesta de otro nivel y que está en constante evolución, siempre en pro de un servicio de excelencia y un desarrollo de producto increiblemente innovador.”
Fredt Bogotá
Read the original review on Google (opens in a new tab)Source checked
More stories
Follow new customer stories on Instagram
We publish every new customer and partner testimonial on Meteor’s Instagram first. The full video playlist also lives on YouTube.
FAQ
Questions about these cases
To the extent your tool is in the catalog, yes. Every capability on this page traces back to an integration page, and each one states which tools the connector actually exposes, which credential it needs and what it does not do. If your system is not in the catalog, a Met does not cover that part until the connector exists.
It hands the conversation to a human rep, leaves a note with the reason and steps out of that conversation. Before assigning, it lists the people in the workspace so the name resolves to the right person, which is what keeps the conversation out of the wrong inbox.
It depends on how many distinct jobs it has. A Met is a role with its own tools: the one that answers and qualifies is not the one that takes orders or the one that publishes content. They work together and hand the conversation to each other when the topic changes.
Not in these cases. It builds the quote, the reservation or the order, and payment happens in the gateway or the system the business already uses. Meteor does not store card data. Where a gateway is connected, the Met can generate the payment link and later check whether it cleared, but the money never moves through the conversation.
Wasi and Rappi are connected for Colombia, and Aveonline and TCC are Colombian platforms. Alegra runs in Colombia, Mexico and Argentina. The calendar, the CRM, image and video generation, Google Workspace, Google Trends and publishing to Facebook and Instagram are not country bound. Neither is HQ Rental: you specify the server region of your account.
Want to see this on your own operation?
We show it with your integrations connected, not with a canned demo.