Parexel
Regulating the generation and standardization of declaration material
Palantir
Healthcare / CRO
Typical Forward Deployed model
Standard case | Useful reference with remaining gaps
Evidence level B
In production
B
Evidence level
Parexel: Regulating the generation and standardization of declaration materials
Evidence level measures whether a source can be located and reviewed; it does not mean vendor-reported claims were independently audited.
Standard case | Useful reference with remaining gaps
8 / 12
Business context1 / 2
Transformation workflow1 / 2
Technical workflow2 / 2
Human roles & governance1 / 2
Measured outcomes2 / 2
Source traceability1 / 2
Remaining gaps: Business context, Transformation workflow, Human roles & governance, Source traceability
Business problem
Clinical/regulatory declarations require multiple documentation, data and expert duplication, long-cycle and difficult to standardize.
Solution
Connects test data, declaration documents and process rules to a unified data/document workflow, which is prepared, collated and standardized with AIP support material.
Technical architecture & production workflow
Step 01
Business files/contracts/research materials/historical cases
→
Step 02
Document Information/OCR/structural extraction
→
Step 03
Online connects document facts to business entities
→
Step 04
AIP retrieves evidence and generates drafts/recommendations
→
Step 05
Rule/Evals/Expert Review
→
Step 06
Approval of results into standard processes and retention of audit trails
Key technology & infrastructure components
FoundryAIPDocument ProcessingOntologyAudit/competence
Human roles & accountability
Medical, statistical and regulatory specialists are responsible for final content and compliance issuance.
FDE delivery actions
- Together with the clinical and supervisory first-line teams, complete the process and identify nodes that really need to be decided rather than presented.
- Collapse decentralized data sources, competencies and business terms into a single, operational Ontology
- Combine business rules, optimization models, LLM and traditional software according to a reliable boundary, instead of letting the LLM operate
- Insert recommendations directly into existing operating workstations and design approvals, rejections, upgrades and write back to Action
- Continue to modify Ontology, rules and automation with operational KPI acceptance and feedback
Reusable delivery patterns
- Let's be clear about the client, the relationship, the state and the action, and then talk about Agent.
- The recommendation must enter the executable stream, otherwise it's just another dashboard.
- High-value deployment is often a combination of data integration + rules/ optimization + AI + Human-in-the-lop
- Continuous rewriting of the results of implementation to build cumulative operational memory
Business outcomes & delivery results
The Palantir network publicly stated that the filing cycle could be reduced from an average of 10-12 weeks to approximately 3-4 weeks, a reduction of more than 50 per cent.
Evidence boundaries & verification notes
- Clear disclosure cycles are improved; LLM-specific, hints and regulatory rules are not made public.
- The current link is the official aggregation entrance, and a deep link or page number that directly locates the case has yet to be added.