PUBLIC SECTOR TRANSFORMATION
NATIONAL REGULATOR
FROM VISION TO STRATEGY: BUILDING NATIONAL AI CAPABILITY WITH INSTITUTIONAL INTEGRITY
With AI shifting from a global trend to a national imperative, the institution had to define its role in strategy, policy, and implementation—while safeguarding public trust.
A national regulatory authority engaged Emergent Line with a clear mandate: to assess how AI and emerging technologies could be responsibly integrated into its mission—both within government operations and across the broader public interest. The request came directly from the Chairman, who understood that shaping national policy in this moment required more than passive learning. It required leadership.
The goal was beyond simply studying AI, but to prepare the institution to lead in how AI is evaluated, deployed, and governed.
THE CHALLENGE
The institution faced a dual task: build fluency at the highest levels of government and identify concrete opportunities to apply AI in service of its national mandate. There was no established playbook, and the agency knew it would be setting precedent—not following one.
Translating AI from a global trend into locally credible, policy-aligned, and operationally sound action would require support across strategy, design, and institutional alignment.
THE PROCESS & SOLUTION
Emergent Line led a multi-phase engagement integrating three of its core offerings: the Executive Masterclass Series, the Applied AI Strategy Track, and the AI Opportunity Design & MVP Advisory.
We began with a national AI masterclass, tailored for both the governing board and senior civil servants. These sessions addressed the intersection of AI with regulation, public services, and global competitiveness—contextualized to the country’s geopolitical and institutional position, and informed by peer examples from leading ministries and multilateral bodies.
We then facilitated a series of AI Opportunity Mapping sessions, identifying high-leverage areas where AI could responsibly enhance national priorities—ranging from regulatory enforcement to economic development and citizen service delivery.
From these, we guided the development of three early-stage MVP concepts, each grounded in existing institutional data, stakeholder input, and clear feasibility thresholds. These MVPs served both as learning mechanisms and internal proof points.
The engagement concluded with early-stage support in drafting the country’s National AI Strategy, including a vision statement, strategic domains, and a high-level roadmap for implementation and interagency consultation.
Every phase was designed to balance ambition with administrative realism—and to build internal ownership at every step.
THE RESULT
The regulatory authority now holds a coherent AI vision aligned to national interests, with a practical foundation to execute on it. Outcomes included:
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A cross-government baseline understanding of AI’s strategic implications and real-world applications
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A clear rationale for where and why AI should be deployed, grounded in public trust and institutional capacity
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Three policy-aligned MVPs entering technical validation and stakeholder review
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A preliminary National AI Strategy ready for internal alignment and legislative engagement
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Stronger executive confidence to lead—not follow—in shaping AI’s national role
A senior official noted:
“This helped us connect vision with practical implementation across government—something we’d been seeking to formalize for some time.”
