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Services/AI strategy and consultancy

Knowing where to act is the first step to creating value

Artificial intelligence opens up new ways to improve processes, expand capabilities and transform how we work. The real challenge lies in identifying which ones make sense for each organisation and how to put them into practice.

At LurNova we help identify the opportunities AI offers and define a strategy aligned with each organisation's goals and reality.

We analyse the opportunities, turn them into concrete use cases and set priorities based on their potential, feasibility and fit with the organisation's needs.

We combine business vision and technological expertise to decide which initiatives are worth pursuing and define the best path to develop them and achieve results.

Every organisation starts from a different reality

Not every organisation needs to start in the same way or approach an AI strategy with the same scope.

The starting point may be a specific need, the challenges of a particular area or a broader view of the opportunities AI offers across the whole organisation.

We tailor the scope to each organisation's goals, capabilities and level of adoption, always keeping a practical focus: understanding where AI can add value, setting priorities and defining how to move forward.

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Our methodology

An AI strategy needs to turn analysis into concrete decisions. That is why we work with a structured methodology that lets us assess each opportunity with sound judgement and move forward in an orderly way to an action plan.

Strategic assessment

We understand the organisation and its starting point.

We analyse the organisation's goals and priorities, key processes and needs to understand its current situation and identify areas with room for improvement.

We also review existing systems and technology infrastructure to understand the capabilities available and detect possible constraints for future AI projects.

This assessment gives us a shared view of the organisation and of the conditions on which to build its AI strategy.

Business goalsProcessesNeedsInfrastructure
Identifying and prioritising opportunities

We identify where AI can add the most value.

We explore the different areas and processes to detect concrete applications of artificial intelligence and turn them into use cases that can be analysed and compared.

We assess each case on its potential impact, technical and economic feasibility, required resources and implementation complexity.

Based on this analysis, we set priorities seeking the best balance between value, feasibility and effort, to determine which initiatives make sense to tackle first and which can be considered at later stages.

OpportunitiesUse casesImpactFeasibilityPrioritisation
Action plan

We define how to turn priorities into projects.

For the selected initiatives, we specify the main requirements, resources and capabilities needed and define a roadmap with the stages and milestones to put them into practice.

Where needed, we also address data, infrastructure, security and governance, and set indicators to evaluate the results.

The result is a concrete, prioritised action plan that sets out what each initiative needs and how to develop it progressively.

RequirementsRoadmapGovernanceIndicators

From strategy to concrete projects

The strategy establishes which initiatives are worth pursuing. From there, we can also support their validation, development and implementation.

We can design pilots to test the selected use cases and, when it is time to move towards a solution, we define and develop the technology, models, integrations and infrastructure each project requires.

We carry the strategy forward through our AI agents, intelligent automation, AI applied to knowledge, and training and adoption services, also drawing on our own technology.

In this way, consultancy does not end with a roadmap: it can continue through to the launch and evolution of the solutions.

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Frequently asked questions

What is artificial intelligence consultancy?

It is a service that helps an organisation identify where artificial intelligence can add value and define how to put those opportunities into practice. We analyse goals, processes, needs and technological capabilities to identify use cases, assess their feasibility, set priorities and define a roadmap.

What does an AI strategy bring?

It provides a clear view of where it makes sense to apply artificial intelligence, which initiatives should be prioritised and what is needed to develop them. It also helps to structure AI adoption and avoid isolated projects or technology decisions without an overall view.

Where should an organisation that wants to adopt AI start?

By understanding what it wants to achieve and where there are needs or opportunities that could benefit from artificial intelligence. Before choosing a tool or a model, it is important to analyse the organisation's reality and identify the use cases with the greatest potential.

Do we need to have identified the use cases beforehand?

No. Identifying opportunities and use cases can be part of the project itself. We work with teams to understand their processes, challenges and needs and to detect where AI can be usefully applied.

How do we prioritise AI use cases?

We analyse factors such as potential value, technical and economic feasibility, required resources and the complexity of putting each initiative into practice. This makes it possible to compare opportunities and decide which make most sense to tackle first.

Does the consultancy include a roadmap?

Yes, when it is part of the project scope. The roadmap sets out the priority initiatives and the main steps to move forward, including the requirements, resources, stages and milestones that may be needed.

Can we start with a pilot?

Yes. A pilot can be a good way to validate a use case before extending its scope. We help define what needs to be validated, what the project needs and which indicators can be used to evaluate the results.

Do we take data, security and governance into account?

Yes. When relevant to the initiatives analysed, we address data, models, infrastructure, security, access and governance from the very definition of the strategy.

Do we need a technical team specialised in AI?

Not necessarily. We analyse existing capabilities and adapt the strategy to each organisation's starting point. We can also identify which profiles, knowledge, technology or infrastructure will be needed to develop the initiatives.

Can LurNova also develop the solutions identified?

Yes. We have strategy, technology and development capabilities to carry the identified initiatives forward. We can develop solutions using AI agents, intelligent automation or AI applied to knowledge, as well as supporting training and adoption by teams.

Is an AI strategy only for large organisations?

No. The scope can be adapted to organisations with different needs and levels of adoption. We can start from a single process or area or define a broader strategy to adopt AI progressively.

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Let's turn opportunities into a concrete plan

Shaping an AI strategy starts with asking the right questions and understanding what you want to achieve. Tell us your goals and let's explore how to make them possible with AI.