AI Augmentation Map

68 AI use cases across every function

From target discovery through commercial launch and corporate operations — a comprehensive map of where AI augments biotech today.

By Role

Find the use cases that matter for your role

Select your function to see the highest-impact AI use cases for your team.

Strategic oversight and company-wide efficiency

Board prep, competitive intelligence, contract management, and cross-functional reporting — without growing overhead.

Corporate & G&A

Board preparation & investor communications automation

Corporate & G&A

AI contract review & lifecycle management

Corporate & G&A

Competitive intelligence & market monitoring

Corporate & G&A

Cross-functional reporting & KPI dashboards

Clinical Operations

AI-optimized protocol design & feasibility simulation

Commercial

Launch readiness analytics & scenario planning

All 68 Use Cases

The complete AI augmentation map

Every function, every use case — from target discovery through commercial launch.

Research & Discovery Preclinical & Translational Clinical Development & Operations Data Management & Biostatistics Regulatory Affairs Pharmacovigilance & Drug Safety CMC / Tech Ops / Quality Medical Affairs Commercial Corporate & G&A

Research & Discovery

5 workstreams · 8 use cases

Find and validate targets, design molecules, and run the assays that feed the pipeline.

Knowledge-graph target prioritization across genetics, omics & literature

LLM literature & patent triage for target rationale dossiers

ML hit triage & artifact filtering on screening data

Generative oligonucleotide design + in-silico off-target & immunogenicity QC

In-silico ADMET / delivery-property prediction for candidates

AI-assisted assay optimization (DOE) + protocol drafting

RAG copilot over ELN, protocols & internal research reports

Automated ELN structuring and metadata tagging

Compress early-discovery timelines 30-40%. Same designers cover more targets.

Preclinical & Translational

5 workstreams · 7 use cases

De-risk candidates before the clinic with predictive models and automated analysis.

In-silico off-target & tox prediction for candidate molecules

PBPK modeling & immunogenicity risk scoring

Digital pathology AI for histopath screening & triage

Automated DMPK data analysis & PK parameter extraction

AI formulation screening & stability prediction

Translational biomarker discovery from multi-omics

IND-enabling package assembly copilot

Fewer failed tox studies. Preclinical timelines compress ~20-30%.

Clinical Development & Operations

6 workstreams · 8 use cases

Design smarter trials, find better sites, enroll faster, and monitor with AI.

AI-optimized protocol design & feasibility simulation

RWD-driven patient-population selection & enrichment

AI site identification from EHR signals & investigator databases

Predictive enrollment modeling & dynamic rescue planning

Risk-based monitoring with anomaly detection

Automated clinical data cleaning & query generation

AI-assisted clinical supply forecasting

Patient-facing AI support for retention and adherence

Top-enrolling-site ID +30-50%. Enrollment rate +10-15%.

Data Management & Biostatistics

5 workstreams · 6 use cases

Automate SDTM mapping, accelerate CSR drafting, and modernize statistical workflows.

Automated SDTM mapping & conformance checking

AI-assisted statistical analysis plan (SAP) authoring

Automated TLF (tables, listings, figures) generation

CSR drafting copilot for biostatistics sections

Data reconciliation & discrepancy resolution

Real-world evidence (RWE) analytics platform

CSR first-draft time ~56% faster. Med-writing time down 30-90%.

Regulatory Affairs

5 workstreams · 6 use cases

Assemble submissions faster, track intelligence, and keep your filings current.

Automated submission assembly & CTD publishing

Regulatory intelligence retrieval & change tracking

AI label optimization & global labeling harmonization

Automated submission QC with expert review retained

Health authority Q&A response drafting

Regulatory compliance tracking & deadline management

The strongest single AI augment story — adopt aggressively here first.

Pharmacovigilance & Drug Safety

5 workstreams · 6 use cases

Process cases faster, detect signals earlier, and automate periodic reporting.

AI-assisted ICSR processing & MedDRA coding

Automated signal detection & disproportionality analysis

AI narrative drafting for safety case reports

PBRER / PSUR automation

Aggregate safety analytics & risk-benefit assessment

Literature surveillance for safety signals

Case processing time reduction. Earlier signal detection across the portfolio.

CMC / Tech Ops / Quality

5 workstreams · 6 use cases

Optimize manufacturing, accelerate Module 3, and make quality proactive.

ML/DoE process modeling for yield optimization

Predictive impurity & CQA models

Generative Module 3 / CMC section drafting

Batch record review & deviation triage automation

CDMO oversight & supplier quality monitoring

Process validation documentation automation

Higher yields, less scrap, faster tech transfer. Module 3 authoring: weeks to days.

Medical Affairs

6 workstreams · 7 use cases

Equip MSLs, map KOLs, produce medical communications, and plan publications.

MSL field intelligence capture & synthesis

AI-powered KOL identification & engagement mapping

Medical communications authoring copilot

Advisory board preparation & insight synthesis

Publication planning & manuscript drafting support

Medical information response drafting

Congress coverage & competitive intelligence

MSL productivity up. Publication timelines compressed. KOL mapping evidence-driven.

Commercial

6 workstreams · 6 use cases

Model market access, build payer intelligence, and optimize launch analytics.

Market access modeling & pricing analytics

Payer intelligence & formulary tracking

Launch readiness analytics & scenario planning

Field force optimization & territory alignment

Competitive monitoring & landscape analysis

Patient support program analytics

Evidence-driven commercial strategy. Deal analysis up to ~20x faster.

Corporate & G&A

7 workstreams · 8 use cases

Hold G&A flat as programs grow — board prep, finance, legal, and deal flow.

Agentic finance-close & FP&A copilot

AI contract review & lifecycle management

Board preparation & investor communications automation

Deal sourcing & data-room diligence acceleration

Competitive intelligence & market monitoring

HR policy drafting & compensation benchmarking

Vendor management & procurement analytics

Cross-functional reporting & KPI dashboards

G&A held flat as programs grow. Contract review: days to minutes. Diligence cuts manual review ~70%.

See which use cases matter most for your company

Phase 1 education surfaces the highest-impact opportunities. Phase 2 assessment builds the prioritized roadmap. Phase 3 delivers.

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