Pages 2–3
Map the AI already in your instance
Identify where Now Assist, Virtual Agent, Predictive Intelligence, and other AI-enabled capabilities may touch regulated work.
White paper · October 2026 · 9 pages
Governed AI on ServiceNow: How ProcessX Makes It Defensible
Bring ServiceNow GxP AI governance into the workflows your teams already run—with risk-based validation, accountable human oversight, and evidence you can defend.
Get the 9-page white paperFor ServiceNow platform owners, IT leaders, and their Quality partners in regulated life sciences.
Get the framework
Put governed AI into practice.
Request the complete white paper by email.
What’s inside
A practical framework for ServiceNow AI governance
Pages 4–5
Connect ProcessX controls to GxP needs
Explore electronic signatures, audit trails, controlled change, and automated validation across ProcessX, ProcessX Part 11, and Compliant Contact Center.
Page 6
Build governance from day one
Follow three phases: qualified infrastructure, continuous validation, and GxP and AI governance at scale.
Page 7
Match oversight to risk
Use USDM’s Green, Yellow, and Red risk zones to define intended use, human review, and the evidence to retain.
01Qualify
Establish the technical baseline, intended use, and risk classification together.
02Validate
Bring platform and AI changes into risk-based testing and change control.
03Govern
Operate with named approvers, drift monitoring, and traceable evidence.
Why it matters
ServiceNow GxP controls need to evolve with AI.
An AI feature can change how a regulated workflow handles data, recommendations, or decisions. Where that feature touches GxP work, its intended use, risk, oversight, and change history need to be clear.
ProcessX adds a regulated operating layer to ServiceNow: controlled workflows, electronic signatures, audit trails, validation evidence, and change control. IT and Quality work from the same evidence and named approvers.
The paper connects those controls to five evidence categories: audit trails, human-review evidence, model version control, drift monitoring, and an approved intended-use statement.
Proof in practice
Customer outcomes reported in the white paper
4 weeks
Part 11 audit trails with ProcessX Part 11
Deployment timeframe stated in the white paper, page 5. Confirm scope and readiness for your environment.
900+
Life sciences customers served by USDM
Company experience cited in the white paper, page 5—not a count of ProcessX implementations.
Global medical device leader
75%
Reduction in compliance cycle time
The paper also reports an 85% improvement in CMDB data reliability for this implementation.
Large biopharmaceutical company
40%
Reduction in data reconciliation time
The paper also reports a 75% improvement in user-provisioning speed for this implementation.
Source: Governed AI on ServiceNow: How ProcessX Makes It Defensible, October 2026, page 8. Customer-specific implementations; results vary with scope, configuration, baseline maturity, processes, and implementation approach. These are reported outcomes, not guarantees.
Explore the supporting capabilities: continuous validation with Cloud Assurance and 21 CFR Part 11 controls.
Start with the AI already running.
Get the nine-page guide to making ServiceNow AI adoption governed, validated, and defensible with ProcessX.