Life Sciences

AI Agents for Life Sciences Companies

An AI agent for life sciences companies covering regulatory submission compilation, batch record review, clinical trial document management and adverse event reporting inside your existing quality, regulatory and clinical systems. Life sciences AI here means administrative and documentation workflows, not clinical or scientific decisions.

Challenges We Solve

Where Life Sciences Operations Break Down

The inefficiencies holding teams back, and how AI agents fix them.

Regulatory Submissions
Manual FDA Submission Compilation
Assembling a regulatory submission from study data, quality records, and supporting documentation by hand stretches across weeks before every filing deadline. An AI agent compiles a submission-ready package automatically from your existing systems.
Quality
Manual Batch Record and Quality Documentation Review
A quality reviewer checks every field on every batch record by hand, so a deviation or missing signature can delay release for days before it's caught. An AI agent checks every record against specifications automatically and flags a deviation before release.
Clinical Documentation
Manual Clinical Trial Document Management
Trial master file documents are tracked and filed by hand across multiple systems, so a missing document often surfaces only during an audit. An AI agent tracks every required document automatically and flags a gap before an inspection.
Adverse Events
Slow Adverse Event Reporting and Triage
Adverse event reports are triaged manually against severity criteria, so a report requiring expedited handling can sit in a queue before anyone flags it. An AI agent triages every report automatically the moment it's received.
Supplier Compliance
Manual GxP Vendor and Supplier Compliance Tracking
Tracking vendor certifications, audit status, and GxP compliance by hand means a lapse can go unnoticed until it becomes a quality issue. An AI agent monitors vendor compliance status continuously and flags an expiring item automatically.
Reporting
Fragmented Quality and Regulatory Reporting
Quality and regulatory data is fragmented across quality management, regulatory, and clinical systems. An AI reporting agent connects every data source and delivers a unified quality and regulatory summary on any cadence.

How It Works

From Assessment to Live Agent

A structured deployment process built for your industry.

01
Discovery and Regulatory and Quality Audit
Free 30-minute discovery call and data audit mapping your quality management, regulatory, and clinical trial management systems. You walk us through it once. We take it from there.
02
Life Sciences Agent Blueprint
Agent blueprint covering data connections, submission compilation logic, quality review rules and compliance alert thresholds.
03
Build and Integration
Build and integration with quality, regulatory and clinical data feeds. Validated against 12 months of historical batch and submission data.
04
Pilot and Validation
Two-week parallel pilot on a defined product line or study. Your quality, regulatory, and clinical teams compare agent outputs against current process results.
05
Go-Live and Handoff
Agent goes live with full documentation, a monitoring dashboard and a 30-day hypercare period included.

FAQ

Common Questions

Everything you need to know about deploying AI in life sciences operations.

Case Studies

AI agents we have already built and deployed

Real deployments. Real outcomes. Each agent was built from scratch around the client's exact workflow.

How a $150M Frozen Foods Distributor Eliminated Overnight Temperature Risk and Prevented $200K–$250K in Annual LossesFrozen Foods / CPG
How a $150M Frozen Foods Distributor Eliminated Overnight Temperature Risk and Prevented $200K–$250K in Annual Losses
A leading frozen foods distributor managed millions of dollars of temperature-sensitive inventory across its refrigerated fleet but had no visibility into trailer temperatures during overnight hours. This created a significant risk of product spoilage, inventory loss, and customer service disruptions.
How a $50M CPG Brand Replaced a $180K TPM System and Unlocked $300K in Annual Value Using Open-Source TPM and Agentic AICPG / Consumer Packaged Goods
How a $50M CPG Brand Replaced a $180K TPM System and Unlocked $300K in Annual Value Using Open-Source TPM and Agentic AI
A $50 million consumer packaged goods (CPG) brand was struggling with the growing complexity of trade promotion management. Despite investing heavily in a traditional TPM platform, many critical processes remained manual, including trade planning, accrual management, deduction reconciliation, customer profitability reporting, and trade spend analysis. The company was spending approximately $180,000 annually on TPM software while dedicating significant internal resources to managing promotions, deductions, and reporting activities.
How a $250M+ Frozen Food Manufacturer Cut Daily Inventory Reporting from 120 Minutes to 5 Minutes and Saved $44,000 AnnuallyFrozen Foods / CPG
How a $250M+ Frozen Food Manufacturer Cut Daily Inventory Reporting from 120 Minutes to 5 Minutes and Saved $44,000 Annually
A $250M+ frozen food manufacturer managed inventory across multiple third-party warehouses and cold storage facilities. Accurate inventory visibility was critical for supply planning, production scheduling, customer service, and inventory management. However, the company relied on a highly manual inventory reporting process that required data from twelve separate sources, including warehouse portals and accounting system reports, to be downloaded, reconciled, and consolidated twice each day.
How a $800M CPG Company Replaced OCR and Manual Data Entry with Agentic AI, Generating $592,000 in Annual Savings and a 4.6x ROICPG / Business Process Outsourcing
How a $800M CPG Company Replaced OCR and Manual Data Entry with Agentic AI, Generating $592,000 in Annual Savings and a 4.6x ROI
A leading business services provider supported multiple consumer packaged goods (CPG) companies with aggregate annual sales exceeding $800 million. The organization was responsible for transcribing retailer deduction documentation, validating deductions against trade promotion planners, proof-of-performance documents, and promotional contracts across multiple customers, channels, and retailer platforms. As client volumes increased, the process of extracting, validating, and transferring retailer data into spreadsheets, reports, and operational dashboards became increasingly dependent on manual labor.

Ready to Deploy AI in Your Life Sciences Operations?

WorkAgentic gets your first AI agent live in 2 to 4 weeks. No technical team required.