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Automate the ‘detective work’ of clinical operations with Florence agentic AI and return thousands of hours to coordinators for what matters most: patient care

New Model Context Protocol (MCP) Access Integrates Eleven Workflow Tools Across 65,000 Research Sites and 30,000 Protocols

ATLANTA — June 17, 2026 — Florence Healthcare, the category leader in site operations workflows, today announced at the 2026 DIA Global Annual Meeting the release of Model Context Protocol (MCP) access for its entire application suite. This landmark expansion allows AI agents to interact natively with Florence’s ecosystem of eleven specialized site workflow tools, spanning a network of 65,000 research sites and 30,000 active protocols.

The release marks a fundamental shift in clinical trial operations, moving from traditional software interfaces to an agent-ready infrastructure. By providing an MCP server and dedicated SDKs, Florence enables sponsor and site AI agents to securely query, analyze, and act upon “site reality” in real-time. Because Florence’s suite is exposed through the open Model Context Protocol, it works natively with leading AI assistants including Anthropic’s Claude and OpenAI’s ChatGPT, as well as any custom or sponsor-built agent.”

“For the last decade, we have built the industry’s most robust digital footprint by solving the site’s most critical workflow problems,” said Andres Garcia, Chief Technology Officer at Florence Healthcare. “Today, we are making that footprint intelligent. By exposing our entire suite through the Model Context Protocol, we are removing the friction between data and action. We aren’t just giving users another dashboard; we’re giving them an agent that can navigate 30,000 protocols to find exactly what needs attention right now.”

Empowering Research with Agentic Workflows

The integration of MCP access allows for a new generation of agentic use cases. In a demonstration at DIA, Florence showcased a “Trial Intelligence” workflow where a site coordinator or CRA can manage a study through a simple natural language interface. Instead of manually auditing folders, users can ask: “What am I missing for the Protocol 123 amendment package at this site?”

The AI agent, leveraging Florence’s secure MCP layer, can instantly cross-reference:

  • Missing Documents: Automatically identifying required IRB approvals or updated 1572s that have been received but not yet filed.
  • Skipped Tasks: Detecting gaps in training compliance or site-level workflows that are blocking study activation.
  • Study Progress: Providing a real-time summary of “Expected vs. Actual” document completion and personnel readiness.

“The administrative burden on sites is the single greatest bottleneck in clinical research,” Garcia continued. “With MCP, we can automate the ‘detective work’ of clinical operations. An agent can discover a missing document or a skipped task across our 11 workflow tools and surface it before it becomes a risk to the study timeline. This returns thousands of hours to coordinators for what matters most: patient care”.

Scalable Intelligence for Global Sponsors

The release also addresses the growing needs of global sponsors, such as IQVIA and Merck, who manage thousands of sites within the Florence ecosystem. By attaching the AI layer to their existing site digitization infrastructure, sponsors can now deploy custom agents that monitor site health, predict enrollment risks based on historical patterns, and automate eTMF reconciliation.

About Florence Healthcare

Florence Healthcare is the leading provider of clinical trial site software, supporting more than 65,000 research sites and 600 sponsors and CROs across 90 countries. The Florence Trial Operations Platform streamlines the middle ground between sites and sponsors, accelerating study startup by up to 70% through AI-enabled contracting, document exchange, and remote monitoring.

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The work Florence AI is doing inside your trials today.

Specific capabilities, embedded in the Florence platforms you already use. No new logins. No parallel tools. No rip-and-replace.

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Site Feasibility

The work: Faster, more consistent feasibility responses for research sites.

Site coordinators spend hours digging through old emails, spreadsheets, and PDFs to answer the same feasibility questions, over and over again, across every new study. Florence AI captures responses into a centralized library, then auto-populates answers when new questionnaires arrive. Coordinators review and submit in minutes instead of hours.

What it changes: Sites take on more studies without adding headcount. Sponsors get site selection decisions sooner. Feasibility stops being the bottleneck it has always been.

Where it lives: Inside the Florence platform sites already use.

Early access

Document Intelligence Service

Workflow-aware document quality, classification, and analysis inside eBinders and eISF. Florence surfaces issues for human review before they become findings, turning inspection readiness into the default state instead of a fire drill.

Sponsor Site Navigator

Sponsors today can only afford to have a Clinical Research Lead (CRL) deeply qualify the top 20% of sites in a trial. Florence Navigator scales the CRL’s work across every site while the CRL reviews and approves every site decision. The same CRL covers three to five times as many sites in the same amount of time.

Coming soon

TrialFlo

Most trial delays are not caused by missing information. They’re caused by missing coordination.

TrialFlo transforms workflow activity into operational intelligence, helping teams identify stalled work, surface dependencies, and understand how trial execution is progressing in real time.

Budget Auditor

Florence estimates that sites lose $300m a year in missed billings. Flo Budget Auditor catches omitted billable events to ensure your site has the resources it needs to keep advancing cures.

How Florence turns workflow activity into operational intelligence.

The AI advantage is no longer the AI itself. Every vendor can access models. Very few participate in the workflows where clinical research actually happens. The difference between those who unlock growth with AI vs. those who just use it to improve basic functionality is where AI gets applied, how it integrates with the work, and whether operators can trust what it surfaces.

Embedded, not parallel.

Florence AI runs inside the platforms sites and sponsors already use. No new system to learn. No new password to remember. AI runs where the work already happens.

Operational, not abstract.

Florence applies AI to the workflow activity already flowing through the platform every day: site activity, document movement, approvals, coordination, and sponsor handoffs. Operational intelligence emerges from the work itself, not from disconnected datasets or after-the-fact reporting.

Human review stays central.

Florence keeps humans in the loop on every decision that matters. We assist judgment, we don’t replace it. Every output is reviewed and approved before it moves the trial forward.

Explainable, not black-box.

Operators need to understand what Florence surfaced and why. We prioritize workflow-aligned, explainable intelligence over opaque automation.

See what AI looks like when it’s doing real work.

Whether you’re a sponsor, CRO, or site, we can show you exactly where Florence AI fits into the workflows you’re already running — and what work it’s already doing for teams like yours.