An independent technical study for AI-native linking of public procurement records, evidence and payment journeys.
Public spending records are scattered across registries, identifiers and document formats.
A reference architecture for evidence ingestion, AI extraction, entity resolution, OCDS-aligned data, risk indicators, search and auditor workflows.
A demo using lawfully accessible public data. This study does not represent a formal engagement with INAT or any political/public institution.
A unified workspace for instructor attendance, replacement lessons, schedules and administrative controls.
An exploratory specification enabling AI agents to discover structured APIs instead of relying solely on HTML crawling.
A self-hosted analytics platform prioritising privacy, access control and data ownership.
Tell us about the challenge. Together we can map a practical path without unnecessary complexity.