Cactus Life Sciences (CLS) adopted Microsoft 365 Copilot to address the heavy manual workload involved in medical communications while maintaining strict data security. As a medical communications agency operating across the United States, Europe, the UK, India, and Japan, CLS works with large volumes of **sensitive, proprietary pharmaceutical and clinical data**. More than **350 professionals**, most of them scientific writers with advanced science degrees, were spending significant time on:

• Creating and refining search strings
• Reviewing large sets of abstracts and documents
• Performing structured data extraction
• Managing overflowing email inboxes and project coordination

These processes were well governed but resource-intensive at scale. CLS chose Microsoft 365 and Microsoft 365 Copilot to:

• Reduce manual effort in document-heavy workflows
• Improve efficiency for both scientific writers and project managers
• Preserve strict data security required by the pharmaceutical industry
• Reimagine how work gets done by using AI to support, not replace, expert staff

Security was a non-negotiable requirement. Copilot’s built-in protections, enterprise-grade authentication, and dedicated project environments gave CLS confidence to use AI with sensitive client data while keeping their existing governance and quality controls in place.

CLS introduced Microsoft 365 Copilot through a phased rollout and focused on aligning AI with real, day-to-day tasks rather than generic automation. Using Microsoft’s agent builder framework, they created **more than 30 custom automation agents** tailored to key workflows. These agents are used to:

• Retrieve and structure information from scientific literature
• Support structured data extraction from clinical, regulatory, and scientific documents
• Check abbreviations and ensure formatting consistency
• Align content with regulatory and publication standards
• Compare insights across multiple documents while keeping review controls intact
• Summarize email communications and generate task lists for project managers

The goal is not to let AI “own” the task, but to let it handle the labor-intensive parts so people can focus on higher-value work such as deeper analysis, synthesis, and quality review. To support adoption, CLS also:

• Launched a Copilot Champions program to identify AI evangelists and lead change
• Built a centralized repository for prompts, agent ideas, and best practices
• Rolled out modular training so employees understand both the capabilities and limitations of AI tools

This combination of tailored agents, training, and peer-led advocacy has helped embed Copilot into everyday work in a practical, sustainable way.

CLS reports clear efficiency gains and a structured approach to responsible AI use. On the results side:

• Structured data extraction is now approximately 35–50% faster, while outputs still go through established human review.
• Scientific writers can manage large volumes of articles more effectively, focusing more on analysis and synthesis.
• Project managers use agents to summarize emails and generate task lists, improving coordination across remote teams.
• A growing Copilot Champions community (launched about 6–8 months before reporting) is helping drive experimentation and new ideas.

On the safeguards and governance side, CLS follows a **Human Anchored AI** approach:

• People remain involved in every step of AI-enabled workflows.
• Quality control and governance processes remain unchanged to address concerns about hallucinations, bias, and error tolerance.
• All AI outputs are subject to human review, quality control, and governance before use.
• Security is treated as non-negotiable, with Copilot’s enterprise-grade security, authentication, and dedicated project environments used to protect sensitive client data.

Culturally, adoption has been largely peer-led rather than top-down, building on existing trust and encouraging responsible experimentation. CLS continues to explore how agents can complement manual work, with a focus on using technology to support people, not replace them, and to deliver sustained value to clients.