Hybrid IT and Cloud Platforms
Wholly comprehensive service that includes the provisioning of infrastructure elements, their orchestration, alongside efficient and understandable governance and management of resources, in which our time-served experience in Cloud solutions, security management of security and data and applications performance are pivotal to our capabilities.
Application consulting, development and maintenance
Consultancy, development and maintenance applied to the complete software life cycle, ensuring the training and adaptation of our multidisciplinary teams to the new methodologies and programming languages found in the digital world.
Outsourced business processes
Ayesa provides specialist niche back office and front office services for the streamlined implementation of business processes with extensive experience in utilities, public administrations and citizen care. In the world of telecommunications, we offer experience in network operations, as well as in business transactions through interaction with the end customer.
Alongside providing the human team, additional BPM and RPA tools complement our endeavours to offer a better quality of service.
CRM & ERP
We implement, maintain, integrate and support, ensuring the necessary training of users, and oversee change management to achieve a seamless transition in both ERP and CRM.
We address projects with the highest demands, and with the references to perform this on the international stage too. Our clients include large multinational corporations and governments, having undertaken projects for the digitisation of complete ministerial organisations, amongst others.
AI & data science
We offer services across the data value chain. Ranging from the pure ingestion of data and its categorisation and ordering in complex databases with or without structure, to the design of specific algorithms for a subsequent multidimensional analysis of these, including their representation for efficient decision-making processes through state-of-the-art BI tools and the subsequent management of data quality.
