Automation of R&D+i Grant Justification & Data Integrity

Engineering and financial management teams were dedicating a disproportionate amount of time to gathering required information by extracting it from multiple systems, and checking for potential non-compliance by reconciling financial data against regulations and technical activity. A single inconsistency could trigger a penalty in the event of an audit — potentially resulting in full or partial reimbursement of public funds — and call into question the management of public funding across all active projects.

AITOM designed and built an end-to-end digital ecosystem for R&D+i grant justification, structured around three integrated components: custom connectors that fully eliminate manual reporting by automatically extracting all required information from source systems; a data integrity engine with automated cross-validation to detect inconsistencies before any audit; and dynamic document generation that produces submission-ready files in the exact normative format required, guaranteeing 100% compliance on every justification cycle.

• 1

  Automated Evidence Extraction: custom connectors pull all required information automatically, eliminating every manual reporting effort from engineering and finance teams.

• 2

  Data Integrity Engine: an automated cross-validation layer detects any inconsistency across records during the grant justification process — before the grant authority ever reviews the data.

• 3

  Dynamic Document Generation: submission files are produced automatically in the exact format required by regulations, guaranteeing 100% compliance on every grant justification.

• 4

  Approximately 35% reduction in administrative overhead per justification cycle.

• 5

  Full elimination of financial risk associated with partial or total reimbursement of public funds due to inconsistencies detected during an audit by the Grant Authority.