Regulated work measured without capturing patient or subject data
Pyze measures how clinical administration, pharmacovigilance and regulated operations are performed, and measures the capacity recovered once AI agents are deployed.
Measured in a pharmacovigilance engagement. Identified value rather than a guarantee.
Regulated processes carry documentation obligations that make them expensive to run and difficult to change. Measuring them has historically required either a manual time study or a capture approach that compliance does not approve. Pseudonymous, content-free instrumentation avoids that trade-off.
Common Findings in Healthcare & Life Sciences
Four patterns that recur across engagements, each shown with the measurement and the resulting change.
Case processing spans several validated systems, and the hand-offs between them have no single owner.
SimplifyHand-off latency and cross-application verification are the largest drivers of elapsed time, and neither is visible in any single validated system.
The hand-offs are measured and the verification steps consolidated, without changing the validation status of the underlying systems.
Documentation burden is treated as a fixed cost of regulation.
StandardizeSome documentation is required by regulation and some has accumulated as local practice. The two have not been separated because they have not been measured separately.
The regulatory minimum is documented explicitly, and practice above it becomes a documented decision.
Narrative drafting consumes senior clinical time.
AgentifyA substantial share of drafting follows a template and reproduces values already in the case record.
The draft is assembled from the record with its sources attached, and clinical judgement is applied to the draft.
Audit preparation takes the team away from case work for weeks.
AutomateThe evidence an audit requires already exists in the execution record and is reassembled by hand each time.
The audit trail is a continuous output of the instrumentation instead of a periodic project.
Opportunity Register
A sample register, sorted by the lever that resolves each opportunity. In an engagement, each line carries measured hours, a named owner and the evidence it was derived from.
Systems typically instrumented
Capture covers browser-delivered and thick-client applications, including virtualized estates, with no change to how anyone works.
Roles Involved
Instrumentation is configured per application rather than per person, so the population in scope is set during scoping and is not a deployment constraint.
How an Engagement Runs
Baseline, blueprint, transform, prove
The same four stages apply in every sector. The fourth stage repeats the baseline measurement, which makes the engagement an ongoing operating capability rather than a one-time report.
Baseline
What the work costs today, measured across every person and application.
Blueprint
Procedures, application rules and execution evidence, read as one target state.
Transform
Where each of the five levers applies, priced and owned.
Prove
The after state measured against the baseline, using the same method.
Frequently Asked Questions
Will this pass our privacy and compliance review?
Do the systems we measure need to be revalidated?
Functions
Related
Start with a measured baseline
Six weeks from instrumentation to a priced opportunity register, and the baseline stays in place so later quarters are measured rather than re-estimated.