--- title: "AI patient engagement at Compensar: COCO pilot | COCO Tech AI" description: "COCO's reachability and patient engagement pilot with Compensar: 2,000 patients contacted via WhatsApp, scheduling pushed to SAP by API and automated confirmation." lang: en json-ld: | [ { "@context": "https://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://cocotech.ai/en" }, { "@type": "ListItem", "position": 2, "name": "Testimonials", "item": "https://cocotech.ai/en/testimonials" }, { "@type": "ListItem", "position": 3, "name": "Compensar Case Study" } ] }, { "@context": "https://schema.org", "@type": "Organization", "@id": "https://cocotech.ai/#organization", "name": "COCO Tecnologías", "alternateName": "COCO Tech AI", "url": "https://cocotech.ai/", "logo": { "@type": "ImageObject", "url": "https://cocotech.ai/assets/coco-logo.png", "width": 600, "height": 373 }, "sameAs": [ "https://www.linkedin.com/company/coco-tecnologias/", "https://www.instagram.com/cocotech.ai", "https://www.youtube.com/c/COCOTecnolog%C3%ADas" ] }, { "@context": "https://schema.org", "@type": "Article", "headline": "AI patient engagement at Compensar: COCO pilot", "description": "COCO's reachability and patient engagement pilot with Compensar: 2,000 patients contacted via WhatsApp, scheduling pushed to SAP by API and automated confirmation.", "url": "https://cocotech.ai/en/testimonials/case-compensar", "mainEntityOfPage": { "@type": "WebPage", "@id": "https://cocotech.ai/en/testimonials/case-compensar" }, "inLanguage": "en", "image": "https://cocotech.ai/images/og-default-en-v2.jpg", "about": { "@type": "Organization", "name": "Compensar" }, "author": { "@type": "Organization", "name": "COCO Tecnologías", "url": "https://cocotech.ai" }, "publisher": { "@type": "Organization", "name": "COCO Tecnologías", "url": "https://cocotech.ai", "logo": { "@type": "ImageObject", "url": "https://cocotech.ai/og-image.png" } } }, { "@context": "https://schema.org", "@type": "FAQPage", "inLanguage": "en", "mainEntity": [ { "@type": "Question", "name": "How is this different from a mass WhatsApp platform?", "acceptedAnswer": { "@type": "Answer", "text": "COCO doesn't just send messages: it prioritizes by clinical criteria, manages retries, books the appointment in the client system via API and then confirms or rescues it." } }, { "@type": "Question", "name": "Is the institution's own WhatsApp line used?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. In this pilot campaigns are sent from Compensar's official line so patients recognize the sender." } }, { "@type": "Question", "name": "What if the database is outdated?", "acceptedAnswer": { "@type": "Answer", "text": "COCO cleans and standardizes the base before launch: duplicates, invalid numbers and incomplete records. Real reachability is measured during the pilot." } }, { "@type": "Question", "name": "Does it integrate with SAP or other systems?", "acceptedAnswer": { "@type": "Answer", "text": "Yes. Every module connects by API to the existing system. Here the scheduling generated by the campaign goes straight into SAP." } }, { "@type": "Question", "name": "How much does a pilot like this cost?", "acceptedAnswer": { "@type": "Answer", "text": "The model is event-based: each contact, booking or confirmation consumes events. We size the package to your database and the modules enabled." } } ] } ] --- We use cookies to improve your experience and analyze traffic. [More info](/en/contact-us) Essential onlyAccept [![COCO Tech](/assets/coco-logo-light-OLz8Qiw1.png)](/en) Solutions Academy [About us](/en/about-us)[Contact us](/en/contact-us) en [Schedule demo](/en/contact-us) 1. [Home ](/en) 2. [Testimonials ](/en/testimonials) 3. Compensar Case Study ![Patient reading a WhatsApp appointment message](/assets/hero-compensar-B9vLTXaQ.jpg) Pilot in progress · COCO × Compensar # Reach the patient who should book, don't wait for them to call. Compensar activates COCO's patient engagement module on a real base of 2,000 patients, from its official WhatsApp line. I want a pilot like this[See expected impact](#impacto-esperado) 2,000 Patients in the pilot 85% Expected reachability SAP Scheduling via API +600 Institutions using COCO Figures on this page are references from other COCO implementations. The pilot is running: final results depend on data quality and on SAP interoperability. Explore Starting point ## Coverage doesn't fail on capacity. It fails on contact. Patient engagement means identifying who should access a service and making sure they receive it. Today that depends on manual work or generic messaging. ### Low effective reachability Mass channels don't tell a delivered message from a booked appointment, and don't handle retries. ### Coverage targets missed Screenings, mammograms, vaccination and chronic follow-ups depend on patients booking and showing up. ### Unused installed capacity The schedule, clinical team and SAP already exist. The bridge between identifying and booking is missing. Why COCO ## Not mass messaging. Patient engagement built for healthcare. Six differences against a generic mass contact tool. ### Modular Campaigns, scheduling, confirmation, OCR, payments and telehealth. Only what is needed is enabled. ### API-first Direct SAP integration to push scheduling, with no intermediate spreadsheets. ### Healthcare expertise Flows built on prevention pathways, screenings and follow-ups, not marketing templates. ### No-show experts We recover up to 83% of appointments that would otherwise be lost. ### Data cleansing Duplicates, invalid numbers and incomplete records cleaned before launch. ### Live analytics Delivered, read, answered, booked and confirmed in a results dashboard. How the pilot works ## From the database to the confirmed appointment. 01 Kickoff and access 02 Cleansing and segmentation 03 SAP integration 04 Messages and flows 05 Campaign and scheduling 06 Confirmation and report Step 01 / 06 ### Kickoff and access Base of 2,000 patients and technical documentation of the APIs. PreviousNext step 1. 01 Kickoff and access 2. 02 Cleansing and segmentation 3. 03 SAP integration 4. 04 Messages and flows 5. 05 Campaign and scheduling 6. 06 Confirmation and report Expected impact ## What we have seen in other implementations. Figures on this page are references from other COCO implementations. The pilot is running: final results depend on data quality and on SAP interoperability. 85% 85% reachability with a clean, updated database. 80% 80% appointment recovery with stable interoperability. <10% Single-digit no-show rate. 80% 80% self-service after stabilization. 300% Up to 300% more uptake in prevention and chronic care. 3x to 20x 3x to 20x return when appointments are billed per event. Multichannel contact Scheduling via API Automated confirmation Real-time dashboard ## Patient data under clinical standards The pilot database is processed only for its purpose, under Colombian Law 1581 of 2012. HIPAA Compliance ISO 27001 AWS Quality Certified Periodic ethical hacking Resolution 256 of 2016 FAQ ## What people usually ask us. ### How is this different from a mass WhatsApp platform? ### Is the institution's own WhatsApp line used? ### What if the database is outdated? ### Does it integrate with SAP or other systems? ### How much does a pilot like this cost? ## You have the schedule, but not the contact We'll show you what a patient engagement pilot would look like on your own patient base. 2,000 Patients per pilot WhatsApp Official line API Integrated scheduling +600 Institutions using COCO Book your demo ## Other success stories Explore more results achieved with COCO. [ ### Success story: surgical management How a hospital optimized operating rooms and surgical scheduling with AI. Read the story ](/en/testimonials/case-surgeries)[ ### Success story: Messer Patient journey automation and shorter waiting times. Read the story ](/en/testimonials/case-messer)[### Success story: ESE Rionegro Assisted scheduling and patient engagement in a public health network. Read the story](/en/testimonials/case-ese-rionegro) [See all testimonials and success stories ](/en/testimonials) [![COCO Tech](/assets/coco-logo-light-OLz8Qiw1.png)](/en) We are a system of solutions designed for the healthcare sector, enabling clinics and hospitals to organize their operations and reduce revenue losses caused by inefficiencies in processes behind patient care. 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