The potential of generative AI & automation to transform businesses

Competitive pressure and the pace of innovation force companies to seek solutions that enable them to work more efficiently, make better-informed decisions, and accelerate the development of new products and services.

Generative AI and intelligent automation have become two of the most relevant technologies to support this evolution, especially because they enable the transformation of traditional operations into intelligent, scalable, data-driven processes.

More than a trend, these technologies represent a new paradigm of productivity and creativity, where teams can focus on strategic tasks while autonomous systems handle repetitive or analytical work. For business leaders, understanding this potential is essential to prepare the organisation for the future.

How generative AI & automation are transforming organisations

1. Operational efficiency and productivity

The combination of generative AI with process automation allows companies to reduce operational effort and increase the speed of internal activities. Common benefits include:

• automatic creation of reports, summaries and internal content

• automation of administrative tasks, such as email triage or request handling

• decision support with real-time data-based analysis and recommendations

Example: an insurance company used generative AI to automate the preparation of regulatory reports, reducing production time from several days to a few hours and decreasing the likelihood of human error.

2. Innovation in products and services

Enterprise generative AI accelerates the creation of prototypes, content, interfaces and workflows. This enables teams to test ideas more quickly and adapt offerings to customer needs.

Example: an e-commerce company adopted generative AI models to create personalised descriptions for thousands of products, increasing organic traffic and conversion rates.

3. Improved decision-making

The combined use of automation and advanced models enables scenario simulation, behaviour prediction and identification of opportunities or risks before they occur. As a result, decisions become faster and more evidence-based.

Example: a logistics organisation integrated generative AI to simulate different supply chain configurations, reducing operational costs and improving planning during peak demand periods.

Strategic perspective: what leaders should consider before moving forward

For the implementation of AI-powered process automation to be successful, companies must ensure a structured approach aligned with business objectives.

Key considerations include:

• Clear identification of processes that can deliver immediate impact

• Assessment of data maturity and technological infrastructure

• Definition of success metrics and expected returns

• Preparation of teams and adaptation of working processes

• Ensuring security, transparency and compliance in data usage

When these conditions are met, digital transformation with AI becomes more robust and sustainable, enabling solutions to scale with lower risk and greater impact.

Our experience

We support companies in defining and adopting generative AI and intelligent automation initiatives, ensuring each step is taken with strategic clarity, technical rigour and responsibility. We help organisations evaluate opportunities, structure solutions aligned with their objectives, and create the conditions to scale technology sustainably and securely.

Generative AI and intelligent automation are redefining how companies operate, innovate and make decisions. Organisations that begin this journey strategically can gain efficiency, respond more quickly to the market, and create more relevant experiences for customers and employees.

Would you like to explore how these technologies can help accelerate your organisation’s evolution?

Contact us for a personalised consultancy and discover how to take your AI strategy to the next level.