AI implementation examples in public and private organisations

December 5, 2025

Artificial Intelligence is increasingly being used to transform the day-to-day operations of both companies and public administrations. These examples also provide valuable insights that other organisations can use as a reference when considering the adoption of AI.

In this article, we present two success stories from Holistic Data Solutions in the application of Artificial Intelligence, one in a public entity and another in a private industrial company. Both examples show how adopting a well-structured process to introduce AI can significantly increase the chances of success and deliver real value to organisations.

Case 1 (public entity): AI at the Port Authority of Santa Cruz de Tenerife

The Port Authority of Santa Cruz de Tenerife is one of the public administrations that has chosen to incorporate AI to improve efficiency and generate value across different areas of its daily operations.

Approach taken

The project began with a clear and crucial first step: investing in people. Through practical sessions, the organisation was introduced to what AI is, how it works, and what it can and cannot contribute to a public entity of this kind.

A participatory, department-by-department process was then designed to identify potential, real use cases based on two clear criteria: tangible impact and technical feasibility. This approach allowed each area to put forward opportunities tailored to its specific needs, so that implementation could be as fit-for-purpose as possible.

Use cases identified

Among the dozens of use cases identified, several were especially relevant, including:

Automation of administrative tasks, such as data verification, minute drafting, document management and case processing
Use of generative AI to prepare internal reports and institutional communication materials
Automatic classification of technical incidents through log analysis
Predictive models applied to operational planning and environmental monitoring

The diversity of these applications shows that AI is not limited to a single area. It can have an impact on both administrative support tasks and strategic processes related to sustainability and safety.

Results and learnings

The project produced a clear, phased roadmap. The Port Authority now has a plan that prioritises initiatives, sets out technical recommendations and defines a step-by-step growth path to help the organisation evolve in its use of AI.

As highlighted in this success story (which can be explored in more detail here), it is important to start with AI applications that are realistic, that generate tangible value for the organisation and that help build a solid foundation for future progress.

Case 2 (private entity): industrial company launching its AI strategy

The second example is an industrial SME that decided to explore AI without having prior experience or internal technical capabilities.

Its starting point was similar to that of many private companies: no defined strategy, but strong interest from the leadership team in understanding how AI could improve processes and results. This exploration became viable thanks to our specialised advisory services, through which we helped the company structure a plan and avoid common mistakes in the early stages.

Approach taken

The journey was structured into several phases:

Initial training, aimed at managers and key users, to establish a common knowledge base and identify real application opportunities
Organisational diagnosis, analysing processes, available data, operational needs and level of digital maturity
Identification and prioritisation of use cases, balancing expected impact and technical feasibility
Development of a pilot, applying AI (predictive or generative) to a specific process in order to validate value and extract learnings

Use cases identified

The analysis revealed opportunities on several fronts, including:

Internal processes with a high degree of repetition or heavy reliance on manual work
Generation of documents or content that could be automated
Use of predictive models to improve decision-making based on historical data
Enhancement of the team’s data culture and identification of capability gaps to address in the future

Results and learnings

This approach enabled the company to start seeing results from the outset. The pilot has acted both as a proof of value and as an internal learning environment for future applications.

Based on this experience, the next steps were defined: strengthening the team’s digital capabilities, identifying tools suited to the size of the organisation and laying the groundwork for a medium-term AI strategy.

As this case shows, it is not necessary to begin with large investments or massive projects. A well-designed pilot can be enough to demonstrate value, build trust and pave the way for a more ambitious plan.

A common pattern in AI adoption: practical, progressive and people-centred

Although these initiatives take place in organisations of different types and sectors, a common pattern can be seen in the way AI is applied:

Start by training people.
Identify real opportunities with tangible impact.
Launch an initial pilot as a proof of value.
Learn along the way and adjust processes and internal capabilities.
Scale what works to other areas.

We see these steps as five essential pillars for any organisation that wants to get started with AI. In fact, we explore them in more detail in another article, should you wish to look into them further.

Introducing AI in the company: from theory to practice

These two success stories show how a progressive, well-focused approach helps organisations move from “we want to implement AI, but we do not know how” to “we have established AI capabilities that are delivering results” in a way that is coherent, natural and aligned with their existing strengths.

The key lies in taking small but well-designed steps, without losing sight of the broader strategy, and always recognising that people’s engagement is just as important as the technology used.

At Holistic Data Solutions, we support public and private organisations along this journey. From training and use case identification to pilot design, production deployment and the definition of a sustainable AI strategy. If your organisation is ready to take its first steps with artificial intelligence, contact us.

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