Automated Assessment and Certification Compliance of Organisations, Systems, Data and AI Operations in a Human Understandable Context

ACCOMPLISH aims at increasing the readiness of enterprises of any size to face an era of unprecedented regulatory scrutiny by simplifying, integrating and automating compliance in their data/AI operations, their data/AI assets, their solutions and eventually their overall organisations.

ACCOMPLISH will deliver a novel AI-based compliance and certification framework cross-cutting the regulatory/legal, environmental, cybersecurity and business/industry-specific compliance perspectives to modernise, automate and trace the compliance and certification processes with the help of open-source, well-defined and extensible compliance policy models while always ensuring a human-in-the-loop (HITL) approach explaining the compliance requirements and results, as well as proactively alerting about any potential risks/violations.

Through the ACCOMPLISH Compliance Digital Passport, the previously “static” compliance and certification assessments will be transformed into up-to-date compliance proof that effectively promotes transparency and accountability for any interested stakeholder.

ACCOMPLISH shall also deliver inherently-compliant data economy enablers for Data/AI operations, as reliable mechanisms to design, execute, and trace/observe the data and AI/ML pipelines, as well as to monitor/control their outputs (in terms of datasets, ML/DL models, analytics results).

In order to demonstrate the actual innovation and added value that can be derived through the ACCOMPLISH advancements, the ACCOMPLISH results will be validated: I.

Through their actual application to address real-life problems in four representative industries that are characterised by a varying maturity level of data/AI operations and compliance: (a) Energy, (b) Automotive, (c) Robotics & Manufacturing, and (d) Aviation; II.

Through their integration in different digital solutions, either open source or commercial, to showcase their application within the established data spaces and/or AI market landscape.