Best-fit format
Half-day / 1 day
Responsible AI
Responsible AI Governance Workshop
A governance-focused workshop to help GCC leaders, risk, HR, legal, IT and security teams define practical guardrails for responsible and enterprise-safe AI adoption.
Discover
Diagnostic • priority
Design
Target state • roadmap
Digitize
Platforms • data • AI
Drive
Adoption • cadence
Deliver
Benefits • scale
AUD
Recommended audience
GCC leaders, function owners, transformation teams, HR/L&D, PMO, AI CoE and governance stakeholders depending on scope.
WHY
Why it works
The session links business context, GCC operating reality, responsible adoption and practical next steps rather than stopping at AI awareness.
Indicative modules
01
Responsible AI principles and GCC risk scenarios
Designed as a practical, discussion-led module with GCC examples and action-oriented outputs.
02
Data confidentiality, IP, hallucination and bias controls
Designed as a practical, discussion-led module with GCC examples and action-oriented outputs.
03
Approved tools and acceptable-use policy design
Designed as a practical, discussion-led module with GCC examples and action-oriented outputs.
04
Human-in-the-loop and human-on-the-loop models
Designed as a practical, discussion-led module with GCC examples and action-oriented outputs.
05
AI governance roles, forums and escalation paths
Designed as a practical, discussion-led module with GCC examples and action-oriented outputs.
Outputs
D1
Responsible AI checklist
A practical artefact that can be reviewed by GCC leadership and taken into the next adoption step.
D2
AI risk register starter
A practical artefact that can be reviewed by GCC leadership and taken into the next adoption step.
D3
Acceptable-use policy outline
A practical artefact that can be reviewed by GCC leadership and taken into the next adoption step.
D4
Governance cadence and escalation model
A practical artefact that can be reviewed by GCC leadership and taken into the next adoption step.
How Enrich customises this
By function
Examples can be tailored for finance, HR, procurement, IT, analytics, operations, PMO, customer support and shared services.
By tool landscape
Exercises can be adapted to approved enterprise AI tools and internal policies.
By maturity
The same offering can be run as awareness, adoption, governance, use-case discovery or scale-up depending on current readiness.
Next step
Use this as a focused GCC intervention or as part of the AI-Ready GCC Accelerator.
Enrich can recommend a light-touch masterclass, one-day workshop or larger adoption programme based on your GCC’s current mandate.
Related Insight
Read the related GCC insight
Explore the supporting Enrich blog article that expands on this GCC offering and the business case behind it.
Responsible AI Governance for GCCs
Explore the practical guardrails GCCs need for responsible AI adoption, including privacy, oversight, tool approval, validation and governance roles.