AI-Augmented Regulatory Submission & Intelligence
Business Challenge: Regulatory teams spend 60–70% of effort on manual authoring, formatting, and cross-region adaptation of IND/NDA/BLA/MAA submissions and Health Authority (HA) query responses — driving delays, inconsistency, and cost. AI-Enabled Solution: Domain-tuned LLMs on a unified regulatory data fabric auto-author eCTD modules, intelligently reuse approved content, predict HA queries, and draft validated response packages with full traceability and audit trail
DOSSIERS, APPROVALS & GLOBAL HEALTH AUTHORITIES
CYCLIC AI-DRIVEN PROCESS FLOW
| AI CAPABILITIES |
| ■ LLM-driven authoring of CTD Modules 2–5 from structured study data |
| ■ Intelligent content reuse & cross-region adaptation engine |
| ■ HA query prediction & response draft generation (RAG over precedents) |
| ■ Submission readiness scoring & automated validation checks |
| ■ Change impact analysis across labels & global dossiers |
| BENEFITS & KPIs | |
| Document authoring time | −45% |
| HA response cycle time | −30% |
| Submission rework | −25% |
| First-cycle approval lift | +20% |
| Annual regulatory FTE savings | 20−30% |