30 / Healthcare
Pharma Operations Intelligence Suite
We built one governed layer that forecasts demand, schedules sterile production, and answers plain-English questions over operations data, with every answer audited and every write e-signed.
- Client
- Undisclosed (Under NDA)
- Stack & approach
- HealthcareDemand ForecastingSterile BatchingGoverned NL-to-SQLAudit Chain
The problem
Forecasting demand across every SKU and region, scheduling sterile production across cleanrooms with sequence-dependent changeovers, and answering questions over operations data all sat in separate systems and spreadsheets, with no governed path from question to audited answer.
Solution & architecture
One operational datamart, 3 engines, one governed query layer. A demand engine forecasts every series; a batching optimiser sequences production and packs sterile loads; and an ops copilot answers in natural language through 8 governed intents, with free-form questions passing a read-only guard. A hash-chained audit log and e-signature approvals wrap the whole suite.
Why it is built this way
Governed query path
Free-form questions pass a read-only guard
Everything audited
Hash-chained log, e-signature approvals
Row-level filters
Business-unit scoping on every path
