Industry

AI use cases in pharma and life sciences

The most documented AI use cases in pharma and life sciences are clinical and regulatory document drafting, AI drug discovery platform and clinical trial site selection, across 42 public deployments by 33 organizations. Pharmaceutical, biotech and medical device companies: research, regulatory submissions, medical information and commercial operations.

Use cases
12
Deployments
42
Organizations
33
Outcome disclosed
45%

The 10 most common AI use cases in pharma and life sciences

Ranked by the number of pharma and life sciences organizations with a public deployment, as of 11 November 2026.

  1. 1
    AI drafting of clinical study reports and regulatory documents

    Generative AI that drafts clinical study reports and other regulated documents for medical writers to verify, edit and approve.

    9 organizations
    80% error reduction
    one deployment, organization claim
  2. 2
    AI native platform for drug target discovery and molecule design

    An AI drug discovery platform is an AI native research platform that prioritizes disease targets from biological data and generates and optimizes candidate drug molecules computationally.

    9 organizations
    about 60% cycle time reduction
    one deployment, organization claim
  3. 3
    AI for clinical trial site selection and feasibility

    AI that scores and ranks candidate investigator sites and countries for a planned clinical trial, so clinical operations teams choose sites more likely to meet enrollment targets on time.

    7 organizations
    53% cycle time reduction
    one deployment, organization claim
  4. 4
    AI for pharmacovigilance adverse event case intake

    AI for pharmacovigilance adverse event case intake is AI that takes in adverse event reports about medicines, vaccines and devices for drug safety teams.

    6 organizations
    23.3% handling time reduction
    one deployment, organization claim
  5. 5
    AI review of batch records and process data for quality deviations in pharma manufacturing

    AI batch record and deviation review reads and correlates batch records, sensor data and quality certificates from a pharmaceutical manufacturing line to flag quality deviations.

    4 organizations
    2% cost reduction
    one deployment, vendor claim
  6. 6
    AI agent for travel and expense report audit

    A travel and expense audit agent is an AI agent that checks every travel and expense report line against policy, for auditors.

    2 organizations
    63% automation rate
    one deployment, vendor claim
  7. 7
    Governed text to SQL analytics assistant

    A governed text to SQL analytics assistant turns a business user's plain language question into a query against governed data.

    2 organizations
  8. 8
    AI agent for complaints recognition, investigation and response

    An AI agent that recognizes, investigates and drafts a response to a customer complaint for a human handler to approve.

    1 organization
  9. 9
    AI avatar and translated video for corporate communications and marketing

    AI avatar video turns a script or an existing recording into a presenter video in many languages, for executive updates, product education and marketing.

    1 organization
    about 70% cost reduction
    one deployment, vendor claim
  10. 10
    AI copilot for marketing content with compliance pre review

    AI marketing content and compliance copilot drafts campaign copy and checks it against advertising rules before a human approves it for publication.

    1 organization

12 Pharma and life sciences use cases

33 organizations in 12 countries run these use cases in public. 45% of those 42 deployments disclose a measurable outcome.

Cross industryBanking

AI agent for complaints recognition, investigation and response

An AI agent that recognizes, investigates and drafts a response to a customer complaint for a human handler to approve. It logs the complaint against the regulatory definition, classifies its root cause and severity, gathers the evidence, drafts the acknowledgement and the response, and tracks every statutory deadline until the case is closed.

Deployments
8 public, best grade B
Reported time saved per task
about 7 minutes
Yorkshire Building Society, vendor claim
Cross industryPharma and life sciences

AI agent for travel and expense report audit

A travel and expense audit agent is an AI agent that checks every travel and expense report line against policy, for auditors. It checks receipts and prior submissions instead of a small manual sample, flags duplicates, altered receipts and policy violations with the evidence attached, and auto approves the clean majority so auditors spend their time on the reports that carry real risk.

Deployments
8 public, best grade C
Median automation rate, vendor reported
72%
3 deployments
Cross industryInsurance

AI avatar and translated video for corporate communications and marketing

AI avatar video turns a script or an existing recording into a presenter video in many languages, for executive updates, product education and marketing. Communications and marketing teams review the script and the translation, then publish, instead of booking talent, a studio and a voice artist again each time a line or a language changes.

Deployments
9 public, best grade C
Median cycle time reduction, vendor reported
50%
3 deployments
HealthcarePharma and life sciences

AI clinical trial patient matching and prescreening

AI that compares a patient's health record against the eligibility criteria of open clinical trials to help research staff and treating clinicians find candidates. It reads structured data and clinical notes, then gives staff a ranked list of likely eligible patients with the evidence for each criterion, so that people confirm eligibility and invite the patient.

Deployments
6 public, best grade B
Reported accuracy
100%
Cleveland Clinic, organization claim
Cross industryBanking

AI copilot for marketing content with compliance pre review

AI marketing content and compliance copilot drafts campaign copy and checks it against advertising rules before a human approves it for publication. It writes campaign copy, product explainers and social posts on brand and in the customer's language from approved product facts, then runs a first pass compliance check against advertising rules and required disclosures, flagging unsupported claims and missing warnings before a human in marketing compliance approves publication.

Deployments
6 public, best grade B
Reported productivity gain
34%
Ally Financial, organization claim
Pharma and life sciences

AI drafting of clinical study reports and regulatory documents

Generative AI that drafts clinical study reports and other regulated documents for medical writers to verify, edit and approve. It writes documents such as protocols, patient materials and submission modules from the trial's statistical tables, listings and figures and from approved template text, before anything is submitted to a regulator.

Deployments
9 public, best grade B
Reported error reduction
80%
AstraZeneca, organization claim
Pharma and life sciences

AI for clinical trial site selection and feasibility

AI that scores and ranks candidate investigator sites and countries for a planned clinical trial, so clinical operations teams choose sites more likely to meet enrollment targets on time. It ranks them by predicted enrollment speed, access to the eligible patient population and historical performance, and teams use the shortlist to activate sites instead of relying on which ones a study team happens to know.

Deployments
7 public, best grade B
Reported cycle time reduction
53%
ICON plc, organization claim
Pharma and life sciencesGovernment and public sector

AI for pharmacovigilance adverse event case intake

AI for pharmacovigilance adverse event case intake is AI that takes in adverse event reports about medicines, vaccines and devices for drug safety teams. It receives reports from calls, emails, forms, literature and partner files, decides whether each is a valid case, flags seriousness, extracts and codes the case data into the safety database format, and routes it to drug safety professionals, who review medical content and regulatory reporting.

Deployments
9 public, best grade B
Reported handling time reduction
23.3%
Bayer, organization claim
Pharma and life sciences

AI native platform for drug target discovery and molecule design

An AI drug discovery platform is an AI native research platform that prioritizes disease targets from biological data and generates and optimizes candidate drug molecules computationally. It also predicts the molecules' properties before a chemist synthesizes and tests them, so a pharmaceutical or biotech company reaches a validated preclinical candidate with far fewer molecules made and tested than a conventional medicinal chemistry program.

Deployments
9 public, best grade B
Reported cycle time reduction
about 60%
Insilico Medicine, organization claim
Cross industryBanking

AI regulatory horizon scanning and obligation mapping

Regulatory horizon scanning is AI that continuously reads publications from the regulators and standard setters an organization answers to and classifies each item by relevance and urgency. It breaks new rules into individual obligations and maps them to the internal policies and controls that meet them, so compliance owners see what changed and where the gaps are.

Deployments
5 public, best grade B
Autonomy
Assist
Pharma and life sciences

AI review of batch records and process data for quality deviations in pharma manufacturing

AI batch record and deviation review reads and correlates batch records, sensor data and quality certificates from a pharmaceutical manufacturing line to flag quality deviations. It compares each new batch against a profile of the best performing past batches and flags the process parameters and deviations that explain a change in yield or quality, so manufacturing science and quality teams can act on a cause instead of reading records line by line after the fact.

Deployments
4 public, best grade B
Reported cost reduction
2%
Recordati, vendor claim
Cross industryBanking

Governed text to SQL analytics assistant

A governed text to SQL analytics assistant turns a business user's plain language question into a query against governed data. It runs the query under that user's own data permissions and returns the table or chart together with the SQL and the tables used, so routine ad hoc questions no longer queue for the data team.

Deployments
8 public, best grade B
Autonomy
Assist

Free PDF playbook

AI use cases in pharma and life sciences: the playbook

12 use cases with deployments, value, playbooks and governance, in one document for your team.

What the evidence says

Computed from the 42 public deployments behind these use cases at pharma and life sciences organizations. Numbers update with every checked record.

Benchmarks with at least 3 pooled values

Benchmarks across Pharma and life sciences use cases
KPIMedianReported rangeData pointsClaimed by
Cycle time reduction53%
10% to 60%
54 organization, 1 vendor
Handling time reduction85%
23.3% to 90%
33 organization

Organizations with a public deployment

  • AbbVie
  • Alnylam Pharmaceuticals
  • American Society of Clinical Oncology (ASCO)
  • Amgen
  • AstraZeneca
  • Avantor
  • Bayer
  • Boehringer Ingelheim
  • Bristol Myers Squibb
  • Cepheid
  • Curia
  • Elanco
  • Eli Lilly
  • Eli Lilly and Company
  • Grifols
  • H. Lundbeck A/S
  • ICON plc
  • IQVIA
  • Insilico Medicine
  • Johnson & Johnson
  • Merck & Co.
  • Moderna
  • Novartis
  • Novo Nordisk
  • PSI CRO
  • Pfizer
  • Recordati
  • Recursion Pharmaceuticals
  • Revolution Medicines
  • Sanofi
  • Syneos Health
  • Takeda
  • UCB

The same use cases in other industries

45 public deployments at 45 organizations outside pharma and life sciences run these use cases too. They are not counted in the numbers above; each use case page shows them.

Other industries

Frequently asked questions

What are the most common AI use cases in pharma and life sciences?
Counted by pharma and life sciences organizations with a public deployment, the most common are AI drafting of clinical study reports and regulatory documents (9 organizations), AI native platform for drug target discovery and molecule design (9 organizations), AI for clinical trial site selection and feasibility (7 organizations), AI for pharmacovigilance adverse event case intake (6 organizations) and AI review of batch records and process data for quality deviations in pharma manufacturing (4 organizations). The library documents 12 AI use cases in pharma and life sciences, 10 of them with a public deployment: 42 deployments by 33 organizations in 12 countries.
How many of these AI deployments are live in production?
28 of the 42 public deployments are live: 26 in production and 2 scaled across the organization. 13 are pilots and 1 are announced.
Which AI use cases in pharma and life sciences are high risk under the EU AI Act?
One use case falls in the high risk tier: AI agent for travel and expense report audit. For 6 other use cases the tier depends on design, for example whether the system decides on access to an essential service. Each use case page explains its tier and what it requires. This is not legal advice.
Where do these numbers come from?
From the Blits.ai AI Use Case Library. Every deployment is a public record of a named organization with a cited source, and every number is computed from those records. Data as of 11 November 2026.