The business conversation around artificial intelligence has matured. After an initial stage marked by experimentation, the market has entered the era of Actionable AI. According to Softtek, a leader in global technology solutions, the question that defines the agenda of management committees today is not what technology can do, but how it can be integrated to generate measurable results on the bottom line.
This paradigm shift requires companies to stop seeing AI as a testing laboratory and start treating it as a structural competitive advantage. The key lies in the ability of companies to move from query to autonomous execution, in a context where platforms like ServiceNow are already integrating advanced OpenAI models into billions of enterprise workflows.
Prioritize three fundamental areas
This allows AI to analyze information and participate directly in the orchestration and execution of critical processes within companies.
To achieve this Actionable Intelligence, companies are prioritizing three fundamental areas that directly impact their profitability and resilience:
- AI agents with operational autonomy: Adopting systems capable of pursuing objectives and orchestrating workflows without the need for constant human intervention allows internal talent to focus their efforts on higher-value tasks. In this field, through platforms such as FRIDA (Framework for Intelligent Digital Automation), the company deploys systems with the capacity to pursue objectives, make autonomous decisions and orchestrate complex work flows.
- Physical AI in industrial environments: Implementing AI on the production floor allows sensor data to be converted into preventive decisions, helping to optimize resources.
- Efficiency and resilience: The use of AI is allowing companies to dramatically reduce unplanned production stops and proactively optimize resource consumption, strengthening sustainability and operational continuity.
For this technology to grow without risks, companies need clear rules of the game. It is no longer enough for AI to be fast, it has to be reliable. Therefore, adopting international standards such as ISO 42001 has become essential. It is the only way to ensure that machines make ethical and supervised decisions, without neglecting the trust of your customers and the security of your data.
Business conversation evolves from exploring AI capabilities to measuring its impact on the bottom line
Doris Seedorf, CEO of Softtek for Spain, explains: «companies must stop seeing AI as a trend and start integrating it as a structural competitive advantage. Beyond seeking efficiency through automation, the true value lies in optimizing the bottom line. The companies that succeed are those that achieve reliable, scalable and fast automated decisions, capable of responding to the real demands of today’s market without sacrificing strategic rigor.”
