Evidence Explorer: information flow

How information moves from partner reports to the Evidence Explorer app, and where AI models are involved. Numbers on the diagram match the table below.

Evidence Explorer information flow diagram Reports from partner organisations and VicHealth teams are uploaded to a landing folder in the Databricks workspace in Azure Australia East. A scheduled job moves them through Bronze, Silver and Gold tables. Two steps send text to AI models hosted by Databricks outside the workspace. VicHealth staff use the Evidence Explorer app, which reads and writes Gold, reads original files from Bronze, and calls the AI models for chat. AZURE · AUSTRALIA EAST DATABRICKS WORKSPACE Databricks Model Serving AI models hosted by Databricks, outside the workspace Claude Sonnet 4.6 Language model · in Australia GTE Large Embedding model · outside Australia Original file, when a user opens a source document Partner organisations Project reports VicHealth teams Impact Logs VicHealth staff Entra ID sign-in Salesforce Landing folder Uploaded files Bronze Original files Silver Extracted text Gold Evidence & shifts Evidence Explorer Databricks App Ingest Extract text Extract evidence Match shifts Steps 3 to 6 run as a scheduled Databricks job, once a day 1 2 2 3 4 5 6 7 8 9 10 KEY External party or user Data store Step that calls an AI model Information flow Flow to or from an AI model Boundary

Information flows

FlowWhat movesAI model
1 Partner organisations → Salesforce Project reports: progress, final and evaluation reports. No
2 Salesforce and VicHealth teams → Landing folder Report files and Impact Logs (PDF, Word, Excel, PowerPoint), uploaded as files. There is no automated Salesforce feed into the pipeline. No
3 Landing folder → Bronze (Ingest) Each new file, stored unchanged along with its file details. Duplicate files are skipped. No
4 Bronze → Silver (Extract text) Plain text extracted from each file and split into sections. No
5 Silver → AI model → Gold (Extract evidence) Report text is sent to Claude Sonnet 4.6. Structured evidence items come back and are saved to Gold as “pending review”. Yes
6 Gold ↔ AI models (Match shifts) Evidence descriptions are sent to the embedding model and to Claude, to group related evidence into shifts. The results are saved to Gold. Yes
7 Gold ↔ Evidence Explorer The app reads evidence and shifts. It writes back review decisions, outcome assignments, an audit log and chat history. No
8 Bronze → Evidence Explorer The original file, when a user opens the source document behind an evidence item. No
9 Evidence Explorer ↔ AI models (Chat) The user’s question and relevant approved evidence are sent to the models. The answer is shown to the user and saved in chat history. Yes
10 VicHealth staff ↔ Evidence Explorer Staff sign in with Entra ID to browse evidence, review it and use the chat. No

Where processing happens One item to confirm

Everything runs in the Australia East workspace except the AI models, which Databricks hosts. Of the two models, one is processed within Australia and one can be processed outside it.

ComponentUsed inWhere it is processedBasis
Tables, pipeline job and app All flows Australia East The workspace region, confirmed by VicHealth during discovery.
Claude Sonnet 4.6 (language model) Flows 5, 6 and 9 Within Australia Microsoft lists it as available to Australia East workspaces without cross-geography routing.
GTE Large (embedding model) Flows 6 and 9 Can be outside Australia Microsoft lists it as needing cross-geography routing in Australia East.

References: model availability by region and Databricks Designated Services.

How the AI models are used

The models do not read the tables and are not a validation step. The pipeline job and the app each send text to a model and receive a response, one request at a time. Results are saved only to the Gold tables.

No AI is involved in moving files into Bronze or extracting text into Silver.

How validation works

People validate the evidence, not the model. Every evidence item arrives in Gold as “pending review”, and reviewers approve or reject it in Evidence Explorer.

The chat and the outcome roll-ups only use approved evidence.