From Tech Consultancy to Strategic Partner: Tokiota's Evolution

Founded in Barcelona in 2012, Tokiota began its journey closely tied to the Microsoft ecosystem. However, in recent years it has taken a strategic turn: it has strengthened its technological DNA with deep specialization while adopting a pragmatic vision to respond to its clients' real needs. This shift has been led by Manuel Matos, who took on the CEO role in 2020, bringing experience from Accenture that has allowed the company to focus on business strategy without neglecting its technological core.

Pragmatic Innovation: The Key to Avoiding Dead-End Pilots

In a context where many organizations invest in isolated pilots with limited impact that fail to scale, Tokiota prioritizes use cases with greater impact and seeks synergies between them. "We talk about a pragmatic vision because, traditionally, in the consulting world there has often been a tendency to build overly complex solutions. Our approach is different: understand the challenge and find the simplest and most effective solution possible," explains Manuel Matos.

This approach is especially relevant in the era of artificial intelligence (AI), where the speed of adoption is critical. "It's about understanding the client's needs and, from there, building concrete solutions. We call this approach pragmatic innovation," he explains. "We work with cutting-edge technologies, but we don't incorporate technology just for the sake of using it, but to solve a specific problem and generate a tangible improvement."

For Tokiota, pragmatism also means agility: "being able to respond with agility." This philosophy aligns with trends like automation in Kubernetes, where trust in automation is key to scaling.

Over 500 Use Cases: A Library That Accelerates Time-to-Market

Tokiota has developed a library of over 500 sector-specific use cases, along with an acceleration platform that enables agile implementation, achieving efficiencies between 30% and 50%. "It means arriving at the client without starting from scratch," Matos specifies. "Our use case library helps clients understand how generative AI is already solving real scenarios in different business areas. We share these cases because we believe they are a starting point for new ideas and applications to emerge."

The consultancy has cases for areas such as legal, procurement, human resources, or finance, and also has specific catalogs for manufacturing, engineering, and other fields. "At its core, it works as an accelerator and as a tool to think together with the client. Because this is not just about technology: it also involves a cultural change and a new way of approaching problems."

Acceleration Platform: Measured Efficiency Between 30% and 50%

Tokiota's acceleration platform allows measuring project efficiency, managing their evolution, and evaluating impact. "When this whole movement around generative AI began in 2023," he begins his explanation, "we quickly detected that many clients wanted to start using these capabilities and that the scenarios that emerged were very similar to each other. So we launched a platform that has evolved over time."

Currently, the platform has evolved towards a lighter architecture, agent-oriented, and prepared to adapt to market speed. "Incorporating new use cases generates efficiencies both in time and costs for our clients. The comparison is simple: what would it mean to develop this case from scratch? When there is already a proven and reusable platform, deploying the next scenario is much more efficient. Depending on the client, context, and project scope, these efficiencies can be approximately between 30% and 50%."

This acceleration capability is similar to what companies implementing security in virtualization with Proxmox seek, where operational efficiency is key.

42% Growth Driven by AI and Data

Tokiota grew 42% in the last fiscal year, an increase that Matos attributes to the emergence of a new opportunity space. "While in other environments growth requires displacing existing proposals, here what happens is that new needs and new scenarios appear. A large part of our growth comes precisely from there. Generative AI and data are advancing in a fully integrated way. Today we no longer talk about data projects on one side and AI on the other: both dimensions are part of the same process."

To harness the potential of AI, it is essential to have well-governed, accessible, and prepared data. "That is generating growing demand and is allowing us to reach medium and large clients, as well as participate in opportunities where three, four, or five years ago we probably would not have been present." Additionally, "AI itself is democratizing access to larger-scale projects. Before, to tackle certain initiatives it was necessary to mobilize teams of a hundred people; today that is not always the case."

This phenomenon recalls the democratization of AI driven by Accenture Edge, where medium-sized companies also benefit from these technologies.

Sector Adaptation: Cross-Learning Between Industries

Tokiota transforms operations in more than 120 Spanish companies, implementing AI use cases with tangible impact in sectors such as industry, pharma, hospitality, insurance, and energy. "Our starting point is always to work directly with the client's business areas," Matos specifies.

The consultancy has a methodology to identify and prioritize use cases. "That continuous work allows us to build specific knowledge of each industry," he explains. "We do not pretend to position ourselves as the greatest sector experts. We are not a consultancy that claims to know the energy or insurance sector better than the client itself. What we do is apply that same pragmatism."

"Many times, a case that works in one industry serves to identify opportunities applicable in another. That cross-learning is allowing us to build an increasingly verticalized vision. Furthermore, although each sector has its particularities, there are common patterns: customer relationship through contact centers, personalized marketing actions, or similar operational processes."

Tokiota, Key Partner in the Microsoft Ecosystem

Tokiota is part of Microsoft's Responsible AI Innovation Center (RAIIC), whose goal is to drive innovation in Spain, foster real use cases, and accelerate digital transformation through responsible generative AI. The company is a member of its three key areas: AI Design, Modern Work, and Security.

"Since we were born, more than ten years ago, we have been closely linked to the Microsoft ecosystem," Matos comments. "We are a managed Microsoft partner and, over the years, we have received various recognitions, from awards as a breakthrough partner to other certifications."

Being part of this center brings advantages such as "being a differential element recognized by the market, but also allowing us to access trends, capabilities, and initiatives that Microsoft is developing for the future ahead of time." It also facilitates access to services and tools to industrialize and accelerate AI adoption. "For a company of our size, being part of this environment means accessing resources, knowledge, and capabilities that make a significant difference."

This strategic collaboration is comparable to what is sought at events like VivaTech, where European talent seeks to scale with the support of large ecosystems.

Original source: ComputerWorld. Analysis and adaptation by ForgeNEX.