What challenges did Cactus Life Sciences face before AI implementation?

Reduce manual burden in document-heavy scientific workflows such as search string creation, document review, and structured data extraction. Meet strict pharmaceutical data security requirements while improving team efficiency.

What was the impact of the AI solution?

Structured data extraction became approximately 35% to 50% faster. Project managers use agents to summarize email communications and generate task lists. Scientific writers can manage large volumes of articles more effectively. Human review, quality control, and governance remain in place.

Source

MicrosoftProductionEvidence: Medium65/100

Cactus Life Sciences deploys Microsoft 365 Copilot with 30+ custom automation agents to accelerate scientific writing and data extraction

Use case typeLegal document automationUpdated Jun 13, 2026

Cactus Life Sciences needed to reduce the manual burden of document-heavy scientific workflows and improve efficiency across scientific writing and project management teams while meeting strict pharmaceutical data security requirements. The company deployed Microsoft 365 Copilot in a phased rollout and built more than 30 custom automation agents using Microsoft's agent builder framework. The agents retrieve and structure information from scientific literature, support abbreviation checks, formatting consistency, and alignment with regulatory and publication standards, with human review controls preserved. A Copilot Champions program and centralized knowledge repository supported governance and peer-led adoption.

Organization: Cactus Life Sciences
Industry: Pharma
Location: United States
Published: June 2026

Reported outcomes

35-50%

structured data extraction speedTime & speed

Strategic outcomes

New product / capabilityAutomated scientific literature retrieval and structuringNew product / capabilityAdded compliance and formatting automationSpeed & agilityAccelerated structured data extractionEmployee experienceHelped teams manage large article volumes

Catalog median for time & speed deployments: +60% across 143 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Structured data extraction speed: 35-50% increase

Microsoft Customer StoriesJun 13, 2026Customer storyExplicit claimMedium evidence strength

structured data extraction ~35%-50% faster

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Cactus Life Sciences
Provider: Microsoft
Maturity: Production
Linked source: Microsoft Customer Stories

The company deployed Microsoft 365 Copilot in a phased rollout and built more than 30 custom automation agents using Microsoft's agent builder framework

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 4

1AI productivity assistants
2Document automation
3Knowledge extraction

Reduce manual burden in document-heavy scientific workflows such as search string creation, document review, and structured data extraction.
Meet strict pharmaceutical data security requirements while improving team efficiency.

Deployed Microsoft 365 and Microsoft 365 Copilot.
Built more than 30 custom automation agents using Microsoft's agent builder framework.
Automated retrieval and structuring of information from scientific literature.
Added automation for abbreviation checks, formatting consistency, and regulatory/publication standards alignment.
Supported adoption with a Copilot Champions program and centralized repository for prompts, agent ideas, and best practices.

Technologies

Microsoft 365 Microsoft 365 Copilot Microsoft agent builder framework

Structured data extraction became approximately 35% to 50% faster.
Project managers use agents to summarize email communications and generate task lists.
Scientific writers can manage large volumes of articles more effectively.
Human review, quality control, and governance remain in place.

Architecture

A phased Microsoft 365 Copilot rollout with more than 30 custom automation agents built using Microsoft's agent builder framework. The agents were decomposed by workflow step to retrieve and structure scientific literature, handle abbreviation checks, formatting consistency, and standards alignment, while human review controls and governance processes remained in place.

Sources & evidence1

Evidence: Medium65/100Evidence strength