Responsible Use of Enterprise AI Tools
Policy-aligned AI for knowledge workers
Outcome: Enable productive AI use while reducing shadow AI and policy drift.
Practical operating guidance translating policy into everyday workflows.
Implementation Outcome
This course addresses how knowledge workers can use AI tools productively without exposing the organization to risk. It translates policy into practical guidance and reduces shadow AI by clarifying safe usage patterns and accountability.
- Role-based safe-use playbook for common work tasks
- Decision checklist for risky prompts and inputs
- Output accountability and verification guide
Controls & Evidence
- Designed for records retention, version control, and documented review cadence
- Supports internal control alignment and defensible oversight practices
- Produces an audit-reviewable evidence set suitable for internal audit request workflows
Data handling: No submission of sensitive or proprietary data is required to complete the program.
Risk Exposure
Lack of defensible policies or controls can result in significant, unmitigated enterprise risk exposure. This program addresses the risk areas most relevant to this capability.
- Shadow AI adoption outside approved tooling
- Inconsistent application of enterprise AI policy
- Over-reliance on unverified outputs in decisions
- Improper handling of confidential or regulated data
Deliverables
Policy-to-Practice Playbook
Concrete examples of compliant AI use in common business workflows.
Risky-Use Pattern Library
Common failure modes and what to do instead.
Accountability & Review Checklist
Human-in-the-loop expectations and validation steps.
Escalation & Exception Path
When to pause use and route to Risk/Legal/Privacy.
Governance Lifecycle Integration
- Baseline: Establish policy-aligned use patterns and minimum control expectations across affected teams.
- Oversight: Assign accountable owners, decision rights, and escalation paths for AI-assisted activities.
- Monitoring: Define review cadence, metrics, and control checks aligned to operational reality.
- Documentation: Maintain version-controlled artifacts and evidence suitable for records retention and review.
- Audit Review: Enable internal audit and leadership review with traceable controls, decisions, and evidence.
Buyer Questions
Does this require sharing confidential data with the provider?
No. The program is designed for policy, controls, and safe-use practices. Participants can complete the program without submitting sensitive or proprietary data.
Who should attend?
Business users, analysts, managers
What evidence is produced for audit review?
Version-controlled artifacts (policy templates, oversight workbook outputs, and control-aligned documentation) suitable for internal audit requests and governance reviews.
How is it deployed?
On-demand delivery with enterprise licensing options. LMS and SSO integration can be included in rollout scoping.
How are artifacts maintained over time?
Artifacts are designed for version control and periodic review. Organizations can align updates to internal change management and records retention requirements.
Request Enterprise Pricing
For rollout scoping (seat counts, deployment model, LMS/SSO integration, and licensing options), request enterprise pricing and deployment scope.