N° 01
Context & Business Challenges
IT support operations generate a high volume of internal requests on a daily basis.
The challenge was to increase IT support efficiency by improving user autonomy, response speed, and resolution quality.
N° 02
What was built & delivered
AI-powered IT assistant
A generative AI assistant capable of understanding the context of internal requests and handling natural, conversational interactions.
Context-aware automation layer
Requests are classified, enriched, and routed based on intent and historical resolution patterns, enabling more accurate and faster responses.
Continuous learning loop
Each interaction improves system performance by feeding resolution patterns back into the underlying models and workflows.
N° 03
Operational outcomes
- Reduced IT ticket resolution time
- Higher employee self-service rate
- Improved support quality and consistency