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Featured Products and Solutions
> Dynamic App Venta en Ruta > App Tablet SP+ Point of sales > eCommerce > Web Portals
Mobility in a Box
> Point of sale > Mobile sales force > Inventory > Mobile collection > Measuring customer satisfaction > Home delivery > Mobile surveys > Digital dynamic forms > Solutions for private transport (Taxi) > Reverse logistics solutions
Mobility ONE
> Mobile sales force > Mobile collection > Medical representatives > Transportation inspection > Insurance adjusters in the field > Mobile Infringement Reporting > Digital dynamic forms > Solutions for private transport (Taxi)
Solutions by industry
> Retail and consumer goods > Logistics and Transportation > Store / Warehousing > Industry > Pharma and Labs > Insurance and finance > Goverment
Supply chain
> Supply chain visibility > Supplier collaboration > Business process improvement > Order management
XaaS ‑ Everything as a service (Hw + Sw)
> XaaS Solutions > Comprehensive financing for the acquisition of comprehensive projects (Hw & Sw)
IoT ‑ Internet of things
> Physical Variables Measurement Solutions > Proximity marketing solutions (Beacons)
All products & Solutions

Business solutions with artificial intelligence (AI)

AI conversational agents
> Design and development of agents and multi‑agents with generative AI (multichannel). > Generative Agentic AI (multichannel) > Document analysis
Predictive analytics System for decision making
> Demand and sales forecasting. > Risk analysis and fraud detection. > Customer segmentation and personalization.
Intelligent business process automation.
> Process automation + AI > AI‑based document analysis and automation.
RPA‑Robotic Process Automation
> Robotic Process Automation + AI
AI use cases

services

Software Factory+
> Software Factory Services > Team Augmentation / Outsourcing IT > End to End product engineering > Business Digital Transformation > Embedded software development > Development of IoT projects
Mobile Application Services
> Development of mobile software projects. > Mobile platform migration > Integrations of applications to internal systems to ERPs / CRMs / Legency > Improvements and new functionalities of mobile systems > Mobile application update
E-commerce services
> Development of eCommerce projects > Update of eCommerce systems > Improvements and new eCommerce functionalities > Migration of eCommerce platform > Integration of means of payment and deliveries to eCommerce > eCommerce B2B / B2C > Marketplace
Digital transformation of companies
> Consulting in digital transformation > Digital commercial impulse services > Ecommerce consulting services > SEO optimization
Technical assistance services (Support)
> Opencart > Sugar CRM > Open Bravo > Odoo
RPA process automation
MSP Academy
Technical assistance

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> Overview > Partner locator > Technological allies
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About MSP
> About MSP Mobility > Our history > Our Global Presence > Success stories and studies > Technological allies > Our global delivery capacity
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          OMNICHANNEL CONVERSATIONAL ARTIFICIAL INTELLIGENT AGENTS

          OMNICHANNEL CONVERSATIONAL
          ARTIFICIAL INTELLIGENT AGENTS

          Discover how an AI agent can increase your customers satisfaction
          by serving them via voice and/or text, providing immediate responses
          and generating automated actions.

          What are AI agents?

          Artificial intelligence (AI) agents are systems that are designed to automatically perform one or more tasks for a user or system based on workflows that arealready known in the available tools.

          These agents learn to go beyond natural language processing tasks by incorporating capabilities such as decision making, problem solving, interaction with external environments, and execution of specific actions.

          They are implemented in many business applications꞉ software design ,IT automation, code generation, or as conversational assistants.

          Using advanced natural language processing techniquesand large language models (LLM), AI agents understand user input andrespond to it in an organized manner, knowing when to use external toolsto improve their effectiveness.

          How do AI agents work?

          AI engines are large language models (LLMs), which is why they are often labeled LLM agents.

          A «flat» LLM proposes answers based on the data they have been trained on. However, they are encapsulated, with limitations in knowledge and reasoning.

          In contrast, agentic technology goes further, integrating the call to tools from the backend supported by a search system, so that updated information can be obtained, workflow can be optimized, and complex objectives can be broken down into subtasks that can be handled autonomously.

          These autonomous agents meet user expectations over time by being able to prepare storage for their previous interactions in memory and successfully plan future actions.

          Thus, the process not only allowsto customize the user interaction to the maximum, but alsoexpands the application contexts in the real world autonomouslyand without intervention.

          Multi-agent artificial intelligence

          Multi-agent AI systems are computational systems composed of multiple autonomous artificial intelligence entities that interact with each other and their environment.

          These agents work in a coordinated but independent manner, each with specialized capabilities and their own objectives, collaborating to solve complex problems that a single agent could not address effectively.

          The multi‑agent architecture allows for task distribution, information exchange, and decentralized decision‑making, replicating human organizational structures.

          These systems stand out for their scalability, robustness against failures, and adaptability in dynamic environments.

          Types of AI agents

          There are many types of artificial intelligence agentswhose design calls into question the way of working or interacting.

          Virtual assistants; autonomous agents; etc. The formerhelp to facilitate everyday tasks; the latter seek toautonomously solve complex problems through their algorithms; the thirdrequest precise information; the latter in whicheach intelligent agent behaves optimally within eachsector꞉ IT, marketing, health, etc.

          Finally, multitasking agents allow you to integrate skills andoffer adaptive and customizable guidance. With these agents,innovation and efficiency for your company are endless.

          Talk to alive AI
          agent.

          (only in spanish)
          Contact right now with one of our AI experts

          AI Agent Use Cases

          Discover some of the use cases we have developed at MSPfor companies
          in different sectors꞉

          AI AGENT FOR SERVICE IN A ECOMMERCE.AI agent with RAG connected toan automation system, capable of serving requirements for price prospects and product stocks in an e‑commerce.

          AI AGENT FOR VOICE CUSTOMER SERVICE.
          We enabled a voice‑based customer service system through the use of an AI agent, in order to respond to requests for product information.

          AI AGENT TO MAKE CALLS IN A CALL CENTER.
          Implementation of an AI Agent to make outbound calls a call center, based on a database.

          AI AGENT FOR USER TECHNICAL ASSISTANCE.
          AI + RAG Agent for answering technical support queries via voice.

          Benefits of AI Agents

          By integrating AI agents into more and more business operations, efficiency and competitiveness aretransformed.

          These agents automate repetitive tasks, allowing human resources todo strategic work.

          They improve decision‑makingby analyzing large volumes of data in real time andsubsequently providing accurate and timely insights.

          They can operate continuously with the same quality, as not even a breakis required between shifts.

          They also offer uninterrupted customer service. In addition, theypersonalize the user experience by adapting to their specific needs.

          AI agents reduce costs, speed up processes and increaseprecision in key areas such as IT, finance and marketing. With them,companies not only optimize their productivity, but also continuously innovate.

          Benefits of AI Agents