About Corevident

Corevident helps life sciences teams scale regulated AI without slowing clinical work.

AI is already entering clinical workflows through protocol review, site readiness scoring, query drafting, safety triage, document review, regulatory drafting, and vendor-enabled tools. The question is no longer only whether the AI output is useful. The question is whether the organization can govern how that output is used.

Corevident designs and operationalizes Decision Authority™ so teams know who can rely on an AI output, what must escalate, what evidence is needed, who approves the action, and how oversight continues after deployment.

Why this exists

Approval ambiguity is the gap.

Many regulated teams are moving from AI pilots to real clinical use before the operating model is ready.

The result is approval ambiguity: useful AI outputs exist, but teams are unclear about who owns the decision, what requires human review, what evidence must be retained, and how the process should stand up to quality review or inspection.

Corevident exists to close that gap.

How Corevident works

Governance built into the deployment.

Corevident works inside your team through its AI-native operating environment to operationalize your AI use case with governance built into the deployment from the start. We turn governance into the working process, not a parallel document.

The outcome is a vendor-agnostic operational dossier that carries decision authority, accountability, evidence, approval, and oversight into your systems, vendors, and clinical operations processes.

Corevident is an advisory practice, not a software platform for procurement.

Built from regulated experience and practitioner input

Grounded in how regulated teams actually work.

Corevident's approach is built on 29 years of regulated-enterprise transformation experience across IBM, LabCorp Drug Development, and the Federal Reserve Bank of New York.

That experience spans enterprise governance, operating model design, automation, decision rights, clinical operations, accountable execution, and enterprise technology adoption.

The work is also informed by input from industry practitioners across clinical operations, quality, regulatory, data, and AI-enabled delivery. That perspective helps keep Corevident grounded in how regulated teams actually work, not only how governance frameworks are written.

Selective adjacent work

Life sciences first.

Corevident's current focus is life sciences, where AI is entering regulated clinical, data, safety, quality, and vendor-enabled workflows.

Corevident selectively supports adjacent regulated and high-consequence environments when the need is clear: who can approve, what must escalate, what evidence is needed, and how oversight continues across accountable institutions.

Bring one AI use case into the operating environment.

Start with a real AI use case, workflow, vendor product, or pilot. Corevident works with your team to operationalize governance into the deployment foundation, so decision authority, evidence, approval, and oversight carry into the way the work runs.