Use Case
Greater Efficiency in Public Tenders: AI Supporting Preliminary Checks
A GenAI system based on EngGPT performs an initial review of the pre-requisites for applications submitted in response to funding calls, guiding users toward the correct completion and submission of their requests.
Where: Italy
Where: Italy
Mission
Manual management of applications for public tenders is often long and complex. Staff must review hundreds of submissions, many of which are incomplete or non‑compliant, and issue an even larger number of requests for additional information and notifications. This slows down the evaluation process, generates delays in payments, and requires continuous back‑and‑forth communication.
Solution
The solution performs an initial analysis of each application, checks the relevant requirements (e.g., financial or documentation‑related) specified in the call for proposals, and provides immediate feedback to the user.
It highlights what is missing or incorrect before the final submission, potentially reducing the number of incomplete applications.
Public‑sector staff can therefore focus on more complex evaluations in the subsequent stages of the application process.
Digital Ecosystem
Actions
Digital Ecosystem
- A well‑structured workflow integrates GenAI tools with configurable rules, which can be updated for each new procedure, creating a system that is easy to replicate.
- A notification informs the user that the preliminary assistance for the procedure is handled by a virtual assistant, which supports the completion of the required fields based on the information the user progressively enters.
Expected results
Reduction in processing times
Increase in internal efficiency
Improvement in the quality of the data received
Impacts
Technologies
AI & Data
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