Four governed layers — from raw source data to client-ready reporting — with clear separation between data refresh and semantic change.
Scheduled refresh
Change request updates
Business Central, QuickBooks, Excel, and operational systems connect into HiveFlowAI on a governed ingest schedule. Each source lands in tenant-scoped bronze storage with full lineage.
Tenant-scoped storage from raw ingest through certified KPI tables. Scheduled refresh updates bronze and silver; gold updates on governed change requests.
Immutable raw extracts from every connected source — full lineage, append-only landing zone.
Consolidated, catalogued tables — cleaned, typed, and SQL-ready for downstream engines.
Certified KPI tables written by the DNA Engine on change requests — the semantic source of truth for reporting.
Customer documentation becomes a version-controlled DNA file. AI generates semantic SQL/Python; compile and publish writes certified gold tables to the data lake. Runs on requirement updates — not on every data refresh.
Reporting documentation becomes a version-controlled layout file. AI generates portal HTML/Python bound to gold outputs and writes updates directly to the client portal — chart and page changes without redefining KPIs.
HiveFlowAI serves read-only views from the semantic layer. Scheduled refresh updates data; pinned logic and layout until the customer promotes a doc change.
Overnight ingest refreshes bronze and silver layers. Gold tables and portal views pick up new data automatically — semantic logic and layout stay pinned.
DNA and Reporting files are version-controlled. AI agents draft from customer docs; humans approve before codegen runs. No silent AI drift.
