For a significant portion of Spain's SME sector, artificial intelligence is no longer a distant technology reserved for large corporations. Increasingly, smaller consultancies and digital studios are translating this potential into concrete, accessible tools for smaller businesses. This is the case with Xponenzial, a firm with a team boasting over two decades of experience solving business problems for entrepreneurs and SMEs, now focusing a large part of its activity on developing AI microservices and custom digital products.
From traditional consulting to AI Product Builders
As explained by Lara Fernández and Carlos García, the company's managers, their mission is to transform ideas into simple, practical digital products that boost their clients' productivity and sales, advocating for a measured and efficient use of technology so that business owners don't have to worry about technical details.
The core concept behind Xponenzial's offering is the "AI Product Builder", a hybrid role encompassing product, design, development, and business knowledge, uniquely employing artificial intelligence as a tool to create, evolve, and scale digital products. Essentially, these are professionals capable of analyzing a business need, designing the corresponding digital product, and building it with the support of AI, thereby reducing reliance on large development teams.
Under this umbrella, the firm offers the development of web and mobile applications, functional prototypes, AI agents, content generators, "miniSaaS", automations, and internal products aimed at improving team agility.
AI microservices to automate repetitive tasks.
A central focus of Xponenzial's portfolio is custom AI microservices, designed to automate repetitive tasks and free up time for management, strategy, and growth. Use cases presented by the firm include 24/7 customer service systems capable of resolving queries and generating leads without constant supervision, automatic generation of professional documents, texts, or quotes in seconds, and optimization of internal processes—from order management to data analysis—without needing to expand staff or train the team in programming.
As a prime example of this work, Xponenzial highlights Quotsflow, its AI-powered automatic quoting system. According to the company's data, clients reduce the time spent on creating quotes by approximately 90% and nearly double their conversion rates by responding to potential customers within minutes instead of days.
A four-phase methodology.
Xponenzial emphasizes that its approach prioritizes practical application and measurable client benefits for every development. To achieve this, projects are structured into four phases.
The first is an on-site diagnostic phase where it's identified where artificial intelligence can provide real value—and, as the company stresses, also where it cannot—before deciding on project viability and solution scope.
This is followed by a design and strategy phase, defining the user experience alongside the end-users of the product, as well as the division of tasks between people and the tool.
The third phase involves the solution construction, integrating it with the company's existing systems and fitting it into their real-world processes.
The final phase is support and launch, where functionality is tested in a live environment, adoption, integration, or regulatory risks are anticipated, and business impact is measured to decide whether to scale, pivot, or continue evolving the product.
Who it's for
The company clearly defines its target audience: entrepreneurs and SMEs seeking growth without overwhelming their internal processes, requiring practical and scalable solutions over endless technological projects, and wanting to explore AI and automation without excessive complexity or risk.
More information about the firm's services is available on its website, xponenzial.com.
