Prepare your AI strategy for 2027

Lays the foundation for scaling up AI within your organizationorganization

Adopting Artificial Intelligence opens new opportunities for growth, efficiency, and innovation. The next step is to identify where it can generate the most value for your organization and what you need to leverage its full potential.

Evaluate your starting point, identify the opportunities with the greatest impact, and establish a roadmap to move towards AI adoption aligned with your business objectives.

Define the next steps in your AI strategy.

Artificial intelligence is no longer a competitive advantage in itself. The difference lies in how organizations integrate and develop it to generate value. Without a defined strategy, scattered investments, duplication of effort, and security risks can arise, limiting its potential.

The challenge lies in transforming AI into a strategic capability aligned with business objectives. To achieve this, a roadmap is essential to assess the current situation, identify and prioritize opportunities, guide investments, and drive innovation and competitiveness.

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Key points for adopting AI safelyguarantees

To move towards a large-scale adoption of AI, it is necessary to analyze different dimensions that condition its impact, viability and sustainability within the organization.

Evaluating these areas allows us to know the current level of preparedness, identify barriers, and detect opportunities for improvement.

1

Strategy and value creation

Align AI initiatives with business objectives, defining expected benefits, necessary investments, and criteria to measure their return.

2

Security and privacy

Protect sensitive information and establish controls to prevent its exposure in prompts, datasets, logs, and other AI environments.

3

Responsibility and supervision

Ensure that there is a defined human accountability for the data, models, and decisions resulting from the use of AI.

4

Access and permissions

Ensure that models and agents have access only to authorized data and systems, in accordance with established permissions.

5

Common definitions

Establish shared criteria and concepts that promote a coherent interpretation and aligned use of AI across different areas of the organization.

6

Data quality

Improve the reliability of information to reduce errors, biases, and inaccurate results in AI solutions.

_Draw up your roadmap for 2027 in four weeks

Identify and prioritise the opportunities with the greatest potential for impact to build a clear, viable roadmap that is aligned with your organisation’s strategic objectives.

At ALTIA, we structure this process over four weeks, using a methodology that enables us to progress from the initial analysis through to the definition of initiatives and a concrete action plan.

Week 1 · Align

Definition of business objectives, scope, stakeholders and success criteria.

Week 2 · Getting to know

Interviews, workshops and a review of existing initiatives and available documentation.

Week 3 · Prioritising

Assessment of opportunities based on their value, costs, feasibility, risks and implementability.

Week 4 · Planning

Executive review of the conclusions, allocation of responsibilities and definition of the next steps.

2027 is the time to take your AI strategy further

Know where you are, discover where you can go, and define the next steps to take advantage of the opportunities of Artificial Intelligence in 2027.

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