Establishing a Foundation for Responsible GenAI Adoption

Situation

A global technology leader faced fragmented GenAI pilots, inconsistent success criteria, and had opportunities to further define a vision for scaling GenAI capabilities enterprise wide.

With multiple GenAI tools in proof-of-concept and pilot stages, the organization needed greater standardization. Tools were evaluated with varying approaches without a unified strategy to measure performance or assess readiness for broader deployment. The absence of comparable metrics and consistent stakeholder alignment limited the ability to establish a scalable approach that delivers tangible business value from AI investments.

Approach

Metis Strategy built an enterprise GenAI program and operating framework to move from experimentation into structured pilots.

• Conducted a comprehensive assessment of existing tools, analyzing capabilities, costs, and strategic alignment.
• Defined pilot success criteria and readiness metrics, encompassing adoption, performance, and business impact to ensure consistent, comparable measurement across the portfolio.
• Partnered with engineering teams to coordinate a scalable provisioning process, ensuring efficient license allocation, onboarding, and compliance guardrails for enterprise expansion.
• Conducted structured pilots, combining quantitative metrics with qualitative feedback from surveys and focus groups to refine user experience and identify improvement opportunities.
• Established a sustainable change management and governance framework, including onboarding and training plans, business unit champions, and clear roles and responsibilities for long-term ownership.
• Designed a persona-based rollout strategy, targeting 80% of associates with an accessible, cost-effective tool and 20% with advanced capabilities tailored to specialized workflows.

Outcome

The engagement aligned stakeholders, processes, and technology to empower the workforce with GenAI tools.

• Onboarded and trained 1,500+ associates, achieving enterprise pilot scale across multiple business units.
• Captured and analyzed satisfaction and business applicability data, with strong feedback on productivity and workflow enhancement.
• Established success metrics for adoption, performance, and impact, creating visibility into portfolio-level performance.
• Defined an enterprise roadmap and standardized governance model to manage GenAI tools responsibly and efficiently.
• Enabled sustained engagement and change, with trained champions driving awareness, adoption and continuous feedback across business units.