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What Is the FDA Predetermined Change Control Plan and Why Does It Affect Your Device Insurance?

A PCCP pre-specifies AI device changes. It is also a documented standard a plaintiff can use if the algorithm underperforms, and few device programs reflect it.

3 min read · Medical Devices · May 25, 2026

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A Predetermined Change Control Plan, or PCCP, is the FDA mechanism that lets a manufacturer of an AI or machine-learning enabled device pre-specify a set of future changes to the algorithm, so those changes can be made without a new submission as long as they stay inside the approved envelope. It is a regulatory efficiency tool. It is also a liability roadmap, because a PCCP is a documented expectation of how the algorithm will perform and change, and that document can be used against the manufacturer if the algorithm underperforms. Most device insurance programs have never been reviewed against a company’s PCCP commitments.

What a PCCP Actually Is

A PCCP spells out, in advance, the modifications a manufacturer plans to make to an AI-enabled device, the methods it will use to make them, and the way it will validate that the modified device still performs as intended. The FDA reviews and authorizes that plan, and the manufacturer can then implement the pre-specified changes without returning for another clearance each time. For a device whose model is meant to keep learning or be retrained, this is what makes iteration practical. The point of the plan is to bound and document change that would otherwise require repeated submissions.

Why a Compliance Tool Becomes a Liability Document

The same document that earns regulatory efficiency creates a written standard the company can be held to. If a patient is harmed and the algorithm is alleged to have underperformed, the PCCP becomes evidence: here is what the manufacturer told the FDA the device would do, here is the validation it committed to, and here is where the field performance diverged. A plaintiff does not have to prove the company was reckless. The gap between the documented plan and the actual performance is the argument. This is the post-market version of the exposure described in product liability for an AI-enabled device: the version of the algorithm that caused harm may not be the version that was cleared, and the PCCP is the record of how it was supposed to evolve.

The exposure sits across two lines. A claim framed as a defect in the device or its output leans toward product liability. A claim framed as a failure in the software function leans toward technology errors and omissions. The two meet exactly where a PCCP lives, which is the seam mapped in Tech E&O versus products liability for SaMD, and a claim can fall into the space between them if the two policies are not coordinated.

Where the Insurance Program Has to Catch Up

Most device programs were placed without anyone reading the PCCP, and that is the gap. Products liability for the device needs to respond to the version of the algorithm actually in the field, not only the one cleared at launch, and the policy period that answers a claim has to be sorted against a product that changes on a schedule. The Tech E&O side has to contemplate model retraining and the PCCP-authorized modifications as ordinary operations rather than as something the form never imagined. This is also tied to the quality system, because the QMSR now folds cybersecurity and change control into the record an underwriter and a plaintiff both read. A program built before the company had a PCCP is, by definition, a step behind the device.

Because this is the most technically specific of the regulatory-trigger exposures, it is the one that most warrants a producer accuracy review of the actual wording against the actual plan, rather than a general assumption that the existing policies stretch to cover it. The policy-wording question PCCP raises is the same one ordinary software updates raise too, covered in whether your product liability policy covers software updates.

What to Do Now

Treat the PCCP as an insurance document, not only a regulatory one. Map the pre-specified changes and the validation commitments against the products liability and Tech E&O policies, and confirm the coverage follows the algorithm through its authorized changes rather than freezing at the cleared version. Confirm the two lines are coordinated so a claim framed around a model change does not fall into a seam. Keep the validation record current, because it is both the regulatory defense and what an underwriter will examine.

Before your next renewal, have the program read against the PCCP itself rather than against the device as it existed at launch. A specialty review through Tower Street Insurance can confirm the coverage follows an AI device through the changes its PCCP authorizes.

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