The AI Protocol Conversion and AI Automation agents are designed to reduce manual work and implementation costs by up to 50%.
Cenevo has introduced two new AI agents designed to automate laboratory workflows and reduce manual overhead while maintaining compliance standards.
The London-based company, which specializes in lab management systems and AI technology for life sciences, launched the AI Protocol Conversion agent and AI Automation agent as part of its strategy to help scientists operate more efficiently.
“Our AI initiatives are designed to eliminate manual work at the two biggest friction points in laboratory operations: getting knowledge into the system and turning that knowledge into action,” says Keith Hale, chief executive officer at Cenevo, in a release. “We want to give scientists the power to use AI to autonomously solve complex, multi-step workflows, allowing them to focus on the more impactful aspects of their activities.”
Protocol Conversion and Workflow Automation
The AI Protocol Conversion agent automatically converts legacy paper-based documents and protocols into structured, reusable, and compliant digital protocols. The system maps content within Labguru’s native elements, including steps and forms, while preserving existing protocol structures and eliminating manual copy-paste and reformatting tasks.
The AI Automation agent allows scientists to describe automation requirements without programming expertise. The agent reduces implementation time and costs by 30% to 50% by generating underlying workflow logic and code automatically, with human-in-the-loop approvals and full audit trails.
The automation agent uses Labguru data and integrations with external systems to create event-driven workflows triggered by experiment status, quality control thresholds, or sample changes. The workflows remain fully visible, editable, and compliant with FDA 21 CFR Part 11 and GxP requirements.
Creating Continuous Workflow Loop
Together, the two agents create a continuous loop from structured data to automated action. The Protocol Conversion Agent imports knowledge into the system, while the Automation Agent converts that structure into proactive workflows.
“With the addition of these new AI agents, and many more to come, scientists’ time will be freed to delve deeper into their research,” says Jonathan Gross, chief product officer at Cenevo, in a release. “Generating scientific results requires physical analyses by multiple instruments. That makes AI adoption more challenging than in data-only industries. That’s why we’re building on our existing foundation of integration and connectivity to help labs to accelerate their adoption of gen AI and agentic AI.”
Cenevo demonstrated the agentic AI technology at the Society for Laboratory Automation and Screening conference in Boston from Feb 9-11.
Photo caption: Automation Agent
Photo credit: Cenevo
