Integration, process definition, security, and governance are some of the factors that determine whether an artificial intelligence project will move beyond the pilot phase and have a real impact on the organization.

Many artificial intelligence initiatives start out with promising results, but not all of them make the leap to production. In many cases, the main obstacle isn't the AI model itself, but everything surrounding it: poorly defined processes, integrations that are addressed too late, or a lack of mechanisms to control and monitor the behavior of agents once they are deployed.

This is precisely one of the challenges that ON Soluciones, a company specializing in operations, processes, and artificial intelligence, is working to address. With 18 years of experience, more than 500 projects completed for over 200 clients across 28 industries, and an NPS of 88, the company currently focuses part of its efforts on helping organizations move their AI initiatives from the experimental phase to everyday operations.

Their approach covers various areas of the CIO and CTO’s technology agenda, ranging from the automation of business and back-office processes to areas such as Human Resources, IT, and customer service. The work includes process definition, team training, architecture design, integration with each organization’s systems, and subsequent implementation.

To this end, ON Soluciones works with platforms such as Kore.ai, other solutions available on the market, and QUALia, its proprietary technology, selecting for each project the option that best fits its operational needs.

A Path to Production Based on Real Data

The company's approach begins with a clear definition of the project's scope and objectives. From there, a measurable pilot is developed to validate the solution using real data before proceeding with its full-scale deployment.

The goal is for the agent to be up and running within approximately 90 days, meeting defined criteria for security, traceability, and service level, while internal teams have the necessary capabilities to manage it and also evaluate the cost and return on each interaction.

This approach aims to address one of the most common challenges in the enterprise adoption of artificial intelligence: organizations with multiple identified use cases or pilot projects already underway, but without a clear framework for scaling and governing them.

ON Soluciones will be at Tech Show Madrid on November 4 and 5, where attendees can learn about its offerings and discuss their own AI projects at booth 3K03.