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Iria Iveco
Success story · Iveco Academy

Iria Iveco

+100
training documents from ten departments
Case summary

Iveco Academy's corporate AI avatar that centralises access to training, internal communication and question answering for the whole Iveco community.

Iveco is an Italian industrial automotive group with hundreds of thousands of workers, dealers and external staff managing a global fleet of trucks, buses and commercial vehicles. Its Iveco Academy department was looking for a way to make the company's training and communications easier to access and to build a closer connection with every professional in its ecosystem, handling questions and queries quickly and autonomously. The answer is Iria, an avatar powered by Artificial Intelligence that becomes a single corporate voice for Iveco, accessible to employees, dealers and the external network at any time.

Client
Iveco Academy
Sector
Education
Service
Operator training · Immersive XR experiences
+100
training documents, ten departments.
4.570
employees with full access to the avatar.
90%
dealer network queries.
Facing a similar industrial challenge?
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01 The challenge

A single voice for a global industrial community.

Iveco is an industrial group with hundreds of thousands of workers, dealers and external staff spread across Europe. In an organisation of this size, information gets scattered across departments, platforms and processes, and accessing training or resolving a corporate question can become a daily operational friction. The Iveco Academy department needed a way to unify that access, bring information closer to those who need it and serve the external sales network with the same quality and speed as internal staff. The challenge wasn't only about training: it was about corporate cohesion on a global scale.

A single voice for a global industrial community.
02 The solution

A corporate AI avatar that talks to the whole community.

The solution is Iria, an avatar powered by generative Artificial Intelligence, trained on more than a hundred documents from Iveco's main departments. Any professional logs in with a username and password and can ask Iria any question related to training, internal processes or any area of the company's activity. The Iveco Academy team manages the model's training and analyses the conversations to identify new learning areas and continuously improve Iria's answers. 90% of queries come from the dealer network, which makes the avatar the main corporate support channel for the sales network.

A corporate AI avatar that talks to the whole community.
Next step
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Key learnings

What this case teaches the sector.

01

A single corporate voice unifies organizations on a large scale.

In industrial groups with hundreds of thousands of people distributed globally, information naturally disperses among departments and processes. A corporate AI avatar trained on all internal documentation becomes a single point of access that brings cohesion to a complex organization.

02

The external commercial network needs the same attention as the internal one.

At Iveco, 90% of the inquiries to Iria come from the dealer network. This is proof that the main user of a corporate AI agent is not always the direct employee: often it is the external network of business partners, which has historically been less well-served and therefore more receptive.

03

Documentary training determines the quality of the avatar.

A generative AI avatar is not worth its technology; it is worth what it knows. Training it with real documentation, department by department, and maintaining an analytics layer that detects gaps and new areas of learning is what differentiates a useful agent for corporate day-to-day from an impressive conversational demo.

04

Authenticated access turns the avatar into a corporate tool.

Unlike a public assistant, an AI avatar with user access and password speaks to identified profiles within the organization. This allows for responding with the level of detail each role needs, managing corporate confidentiality, and turning conversations into data useful for continuous product improvement.

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