# Responsible AI Governance Checklist

Asset type: checklist

This document is a DigiScience Techsol checklist. It is not a customer case study and does not claim delivered customer results.

## Purpose

Provide a practical checklist for enterprise AI discovery and decision-making.

## Target Buyer

Risk, compliance, security, AI governance teams

## Business Problem

Control AI risk before scaling assistants, RAG or agents.

## Measurable Outcome

Document controls for human approval, audit, privacy, access and monitoring.

## Architecture View

- Business workflow intake
- Secure data source mapping
- AI service or model endpoint access
- Human review and approval step
- Audit log and quality feedback loop
- KPI dashboard for value tracking

## Cloud Services

Use the equivalent services on Azure, AWS or GCP depending on the client environment:

- Identity and access management
- Private networking and secure endpoints
- Object/document/data storage
- Managed AI service or model gateway
- Logging, monitoring and cost management
- Secrets management
- Workflow orchestration where needed

## Governance and Security Controls

- Role-based access control
- Data classification
- Human approval for high-risk outputs
- Prompt and response logging where permitted
- Source citation or evidence capture
- Privacy and compliance review
- Model risk and hallucination handling
- Cost and usage guardrails

## Pilot Scope

- One workflow
- One business owner
- One measurable KPI
- Limited data sample
- Clear success and stop criteria
- No production scale promise before validation

## Deliverables

- Current-state workflow summary
- Readiness or blueprint score
- Security and governance gap view
- Pilot architecture outline
- Success criteria and decision path
- Next-step recommendation

## Assumptions

- Client provides access to sample data or process documentation.
- Stakeholders are available for short discovery reviews.
- Security and compliance constraints are reviewed before build.
- This is a reference guide, not a customer case study.

## Success Criteria

- Use case is clearly scoped.
- Business value is measurable.
- Data readiness is understood.
- Security and governance risks are visible.
- Pilot decision is clear: proceed, fix gaps, or stop.

## Next Step CTA

Book a 30-minute workflow readiness discussion with DigiScience Techsol and choose one candidate workflow to score.