Yuliia
Malich
Head of Public Policy (Tech) at Bolt
"AI adoption in non-technical teams: Where to start"
"AI adoption in non-technical teams: Where to start"
Tue May 12 - 5:30 AM EDT/New York (See in local time)
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05/12/2025 5:30 AM
05/12/2025 05:50 AM
America/New_York
#WTGC2025
"AI adoption in non-technical teams: Where to start"
#WTGC2025
"AI adoption in non-technical teams: Where to start"
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"AI adoption in non-technical teams: Where to start"
"AI adoption in non-technical teams: Where to start"
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Session: AI adoption in non-technical teams: Where to start
While most AI case studies spotlight engineering teams, this session offers a practical blueprint for policy, legal, and communications professionals—where data is complex, workflows center on documents, and risk management is critical.Drawing from real implementation experience at a global mobility company, I'll walk through how we shifted from ad-hoc experimentation to delivering consistent value across non-technical functions:
Readiness Assessment — Pinpoint high-impact workflows; map out data touchpoints and navigate constraints like GDPR and confidentiality requirements.
Establish Guardrails Early — Build streamlined AI policies, set privacy boundaries, conduct red-teaming exercises, and create approval processes that enable rather than obstruct progress.
Equip Business Users — Select essential tools, create secure work environments, and develop prompt libraries tailored to actual job functions.
Test and Expand — Run six-week cycles with designated owners, clear adoption goals, and concrete success criteria covering quality, efficiency gains, and risk mitigation.
Drive Adoption — Identify champions, design effective training, maintain communication rhythms, and track meaningful impact beyond surface-level metrics.
Real-world examples include ministerial briefings and stakeholder correspondence, regulatory monitoring, press content development, multilingual research consolidation, and meeting coordination.
You'll walk away with ready-to-use templates and insights on common pitfalls—data exposure risks, accuracy issues, and the dangers of excessive automation.
Key Takeaways
- Moving AI from experimentation to real value in policy, legal, and communications requires a structured approach: assess readiness, set guardrails first, equip users with the right tools, run tight pilot cycles, and manage change deliberately.
Bio
Head of Public Policy at Bolt, Yuliia leads cross-country initiatives at a global mobility platform, builds AI governance practices with legal and compliance, and drives change management across policy, communications, and operations. Yuliia helps non-technical teams adopt AI responsibly to deliver measurable outcomes in regulated markets. Yuliia has spoken at EU/UA AI Summit, International Turkic States AI Summit, and Lviv IT Arena on AI strategy and regulation. She co-authored Bolt’s “Women in Tech” report and mentors women leaders through career development programs. Based in Warsaw, she works at the intersection of technology, public policy, and ethical AI adoption.