Artificial intelligence is becoming integrated into business processes, opening up new possibilities for the use of corporate data. Following an initial phase characterised primarily by experimentation, the focus is now shifting towards the integration of AI into systems and day-to-day operations.
According to McKinsey’s research The State of AI in 2026, organisations that achieve the best results from artificial intelligence also focus on the design of their work processes.
It is therefore important for businesses to understand how well their systems are equipped to support these new applications and how to make the most of the information assets already available.
AI readiness: preparing systems and information for artificial intelligence
The concept of AI-readiness describes an organisation’s level of preparedness for adopting artificial intelligence and encompasses both technological aspects and the way in which information is managed.
A company may have advanced software and large amounts of data, yet still encounter difficulties in utilising them via AI.
Consider information relating to a single customer, spread across CRM, business management and customer support platforms. To gain a complete picture of the customer relationship, data must be retrieved from different systems, checked for updates and the context reconstructed.
System Integration enables these challenges to be addressed by creating links between applications and making information available according to shared criteria.
Preparing systems for artificial intelligence also means working on data quality and methods of accessing information, so that new solutions can be used seamlessly within business processes.
Collective intelligence: making the most of the company’s knowledge base
A company’s knowledge comprises the information stored in digital systems and the skills developed by staff whilst carrying out their work.
A solution adopted to resolve a technical problem, or information gathered whilst dealing with a customer, can also prove useful to other staff members, provided it is available and can be retrieved when needed.
The concept of collective intelligence fits into this perspective, viewing organisational knowledge as a resource to be shared in order to support activities and decision-making.
Artificial intelligence offers new possibilities to facilitate this process. Through natural language interaction, people can access information more easily and identify links between content stored in different systems.
The ability to interpret this information and apply it within one’s own operational context continues to require human input.
From technological integration to collective intelligence: the Studioware approach
For years, Studioware has been developing business digitalisation projects through its expertise in system integration, software development and CRM consultancy.
This approach is evolving with the introduction of artificial intelligence and the need for businesses to make more effective use of the information assets already at their disposal.
Bloom Iris is part of this development: an AI solution developed as part of the Bloom project, designed to enhance the value of organisations’ information and knowledge through an approach based on collective intelligence.
The aim is to make corporate knowledge more accessible to the people who need to use it, fostering new ways of interacting between digital systems and day-to-day activities.
For Studioware, this journey begins with an understanding of business processes and the design of technological solutions capable of supporting their evolution.
Find out how to prepare your business for the integration of artificial intelligence.
Contact Studioware to find out more about the opportunities offered by AI integration.
