PHARMACEUTICALS
From safety signal to submission: regulatory variation management for a global pharma company
A single safety-committee recommendation can ripple into label changes, variation filings across markets, country affiliates, packs and submission evidence. Wexa modelled the whole regulatory chain in a context graph and built an agent that computes the blast radius and routes every change to the right signer.
- impacted objects found across 4 hops
- packs in the supply chain reached by the change
- submission artefacts ready; the blocker identified
- human signature gates / autonomous executions
- CLIENT
- Global pharmaceutical company (regulatory and medical affairs)
- REGION
- EU / US
- WHEN
- 2026
- ENGAGEMENT
- Solution build
- WEXA COMPONENTS
- Wexa · regulatory ontology · context graph · routing agent · human signature gates
01Case 14
The challenge
- Safety signals, labels, marketing authorisations and supply data sit in separate systems
- Impact assessment is manual and slow
- Every regulatory action needs a named human signature
What Wexa built
- Ontology: product, marketing authorisation, country, health authority, core data sheet, label section, safety signal, case, change event, submission, label change
- Blast-radius analysis from a safety signal to labels, filings, affiliates and packs in the supply chain
- Evidence readiness check across the submission dossier
- Routing agent proposing the variation route per market; it rejected a fast-track route when the wording went beyond the committee's core text
02Case 14
How it runs on Wexa
03Case 14
Results
| Measure | Before / without Wexa | With Wexa |
|---|---|---|
Impact-assessment hours per variation (150 variations a year) | 120 hours | 24 hours |
Annual cost of the process | $2.2M | $432K |
Time to implement the AI solution | 6 months | 6 weeks |
AI build cost (one-time) | $480K | $44K |
AI operating cost per year (models, infrastructure, upkeep, platform) | $312K | $166K |
Total AI cost in year 1 | $792K | $210K |
With Wexa
net annual value to the client after Wexa's own operating cost
faster to implement
lower AI operating cost
less AI spend in year 1
- Six change proposals, each routed to a named signer; nothing executed without a signature
- Packs still in packaging within the change window identified for relabelling
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