Clinisys, a global provider of laboratory informatics solutions, has unveiled its AI Innovation Roadmap, an open and governed platform strategy designed to connect laboratory data, analytics, agents and workflow automation within the operational context of the laboratory.

From system of record to system of orchestration

The roadmap advances the company’s Connected Laboratory Intelligence value chain, from a configurable platform and connected data through analytics and governed AI to continuous innovation. Clinisys describes a compounding model in which the laboratory moves from a system of record to a system of workflow, a system of intelligence and, ultimately, a system of orchestration. Each stage progresses from Inform (descriptive insight) to Optimise (prediction and anomaly detection) to Transform (agentic orchestration with human approval).

“Every laboratory decision, from the next sample to run to the next therapy to develop, should be informed by governed AI built on trusted laboratory data,” said Shay Hassidim, chief technology officer, Clinisys. “Our strategy is governed by design, grounded in laboratory context, and generative: agents that go beyond reporting by helping move work forward, with people in control.”

Open by design

Clinisys is developing two complementary routes to automate and extend workflows without requiring a single proprietary AI experience:
• CLS MCP: The CLS Model Context Protocol foundation is being designed to let advanced users and IT teams connect approved AI assistants to governed CLS context through CLS APIs, with rules, permissions, guardrails, audit and observability applied through
the platform.
• CLS NoCode AI: No-code components built around Decisions are intended to help operational teams configure governed workflows from reusable templates and connectors, such as reflex testing, result review, corrective and preventive action, and complaint handling.

Both are designed to build on the CLS Extended API and shared platform services, with reusable components intended to scale across CLS and selected Clinisys core products. A planned Clinisys AI Marketplace would deliver certified agents, skills, workflow templates and future partner extensions.

Five initiatives

The roadmap organises reusable AI platform initiatives around five outcome areas:
• Workflow Copilots: AI assistance at the point of work, including CLS CARE and Equipment Care
• Advanced Analytics: conversational and predictive experiences
• Automation and Orchestration: rules, routing, monitoring and workflow action connecting signals to controlled responses
• AI Marketplace: a planned governed mechanism for certified agents and workflow templates
• Intelligent Lab Command Center: a future operational experience combining alerts, laboratory status, instrument monitoring, agent supervision and decision support

Two agent experiences

The Analytics Agent is designed to help authorised users move from question to insight through a sequence of Ask, Visualise, Analyse, Export and Schedule, with access aligned to roles and permissions. The Equipment Care Agent applies instrument activity, quality-control data, service history and maintenance requirements to equipment-readiness workflows. Its intended outcomes are earlier issue detection and fewer avoidable reruns. Quantified outcome claims will be added once validated.

“The advantage is not a single agent,” noted Prashant Prabudh, director, AI Analytics and Agentic Platforms, Clinisys. “It is an open, governed intelligence layer where laboratory data, APIs, analytics, no-code workflows, and specialised agents can work together. That is how Clinisys advances from systems of record to systems of orchestration and creates a platform for continuous innovation.”

Clinisys said release-specific availability will be communicated separately after readiness and approval reviews.

For more information, visit: www.clinisys.com

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