Ayesa – Optimisation of internal processes
Ayesa
Sector: Generalist
Business Case
Optimisation of internal processes
Objectives
Assist in the automation of processes such as: Search for applicable engineering regulations, References for tenders, Automatic classification of tender specifications to facilitate decision-making.
Use case
Although the approach differs according to the scenario to be dealt with, the development includes the automatic ingestion, interpretation and codification of information in textual or image format, supporting decision-making based on this information.
Infrastructure
Hybrid, On Premise and Cloud.
Technology
Image recognition/processing Automatic or Deep Learning Text mining AI technologies that generate written or spoken language, images or videos (generative AI)
Data
Tabular, textual and image information from both internal and external repositories
Resources
A team was created to survey the company looking for optimisation points, and the ROI of each of them was prioritised. An interdepartmental working team was set up for the development
Difficulties and learning
Cost Although it is relatively easy to achieve a good result, it is complex to achieve a result that eliminates the need for human support, and this diminishes its usefulness.
KPIs (business impact and metrics of the model)
Cost in time/money of work currently performed vs performed with collaborative AI support. Although it is relatively easy to achieve a good result, it is complex to achieve a result that eliminates the need for human support, and this diminishes its usefulness.
Funding
No
Collaborators, Partners
No
