Enterprise Prompting Standards
Standardized prompting and output verification
Outcome: Standardize prompting practices to reduce data leakage, errors, and inconsistent outcomes.
Prompt hygiene, data classification rules, and verification expectations.
Implementation Outcome
This module clarifies when AI-assisted work becomes organizational responsibility and why prompts must be structured, reviewable, and governed. It introduces the Prompt Lifecycle and GCES framework to ensure prompts can be reused, explained, and audited over time.
- Enterprise prompt standard (do/don’t rules)
- Prompt review checklist aligned to data classification
- Output verification protocol for business use
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.
- Sensitive data included in prompts or uploads
- Hallucinated outputs entering business materials
- Inconsistent prompt quality across teams
- No verification standard for AI-assisted work
Deliverables
Prompt Standards & Guardrails
Standard structure, prohibited content, and safe patterns.
Data Classification Prompt Rules
How to avoid embedding sensitive data in prompts.
Verification & Citation Protocol
How to validate outputs before use in decisions or documents.
Reusable Prompt Library
Approved prompt patterns for common enterprise tasks.
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, managers, risk, audit
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.