Shaping the AI Sandbox Ecosystem for the Intelligent Age 2025

While the strategic framework outlines the core building blocks and principles of AI sandboxes, their real-world impact depends on how these ideas are implemented. The operational framework translates strategy into practice – offering a step-by-step roadmap for designing, launching and scaling AI sandboxes tailored to India’s context. This section outlines four critical phases of operationalization: 1. Define the objectives and scope 2. Establish a governance body and access protocols3. Design and develop sandbox components in alignment with the scope 4. Execute, scale and monitor Each phase incorporates the enablers and guardrails described earlier, ensuring that sandboxes remain not only functional but also inclusive, trusted and aligned with India’s innovation priorities. The caveats listed in Section 4.2 need be kept in mind. This phased approach ensures that AI sandboxes evolve from short-term pilots into long-term national assets – supporting responsible innovation at scale while embedding measurable safeguards and outcomes.4.3 Operational framework: Translating strategy into action Operational framework for establishing an AI sandbox FIGURE 3 Source: World Economic Forum analysis— Specify objective and end goal: Innovation vs. r egulation focus, or a hybrid, aligned with national priorities — Define sandbox scope: Identify target sectors and use cases/pr oblem statements acr oss priority sectors — Onboar d inter nal and exter nal stakeholders: Implementation and tech partners, industry , start-ups, etc— Define and evaluate success metrics: Standar dized or tailor ed metrics for start-up performance as well as sandbox performance evaluation — Scale up and plan exits: Support scale-ups and exits, enabling funding, public pr ocur ement or industry pilots — Adapt sandbox scope and design: Reassess sandbox periodically to respond to new challenges, technologies and risks — Develop access criteria: Sector or programme-aligned access; criteria on model r eadiness and public value — Set gover nance structur e: Stakeholders fr om acr oss categories, working on well-defined structur e — Embed risk and compliance frameworks: Localized AI RMFs such as NIST etc., ensuring safety and fair ness— Identify r elevant components based on objective and scope: – AI-ready data – Data storage and pipeline tools – Data-sharing protocols – Compute resour ces – AI/ML models – IDE– Compliance and evaluation frameworks – Certification on regulatory standar ds – Mentorship – Funding – Market access 1.Defineobjectiveandscope 2.Establishgovernanceandaccesspolicies 3.Designanddevelopsandboxcomponents 4.Execute,scaleandmonitor Shaping the AI Sandbox Ecosystem for the Intelligent Age 17