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Written by Jenny Kay Pollock, Co-Founder and Co-CEO of WOMEN x AI (WxAI) and Founder of Luminizing Growth. Through her work with executives, founders, and AI practitioners, she helps organizations navigate AI-driven transformation and adoption. The Women in AI breakfast panel explored what it takes to move AI from breakthrough technology to real-world business impact. For the past few years, much of the AI conversation has centered on new models, benchmark results, and breakt

By Summer Poletti, Founder and CRO of Rise of Us, Host of Revenue Remix podcast and frequent WOMEN x AI (WxAI) speaker. "The event is the seed. Everything else is the harvest." - Summer Poletti The Room Before the Panel Started I walked into Templo Mayor Hall at San Diego State University's campus on a Saturday afternoon with my exec assistant, who everyone noticed “happens” to look exactly like me. Right down to the colorful highlights. We were, as several peop

Moha Shah shares insights on AI governance, responsible AI adoption, and board oversight for business leaders.

Written by Jenny Kay Pollock, Co-Founder and Co-CEO of WOMEN x AI (WxAI) and Founder of Luminizing Growth. Through her work with executives, founders, and AI practitioners, she helps organizations navigate AI-driven transformation and adoption. The best part of every event is reconnecting with longtime community members and welcoming new faces into the WOMEN x AI ecosystem. The hype surrounding AI right now is palpable. Walking the floor of Snowflake Summit 2026 Dev Day, you

Artificial intelligence moves faster in private companies. Growth-stage businesses experiment quickly. Portfolio companies deploy AI into products before formal governance structures are fully built. Operational pressure and competitive dynamics accelerate adoption. That speed creates opportunity. It also creates governance exposure. AI governance for private equity boards and growth-stage directors requires a different lens than traditional public company oversight. The time

AI governance failures rarely begin with a crisis. They begin with small signals that oversight is misaligned with exposure. Boards that recognize early AI governance red flags can correct course before risk escalates. Boards looking to structure oversight more systematically can explore our AI Governance for Boards framework, which introduces the Board Director’s AI Governance Compass. Boards that ignore them often discover gaps under pressure. 1. AI Is Discussed as Innovat

Artificial intelligence introduces a different category of enterprise risk. Boards that treat AI as a technology upgrade miss the governance implication. AI systems can influence pricing, hiring, underwriting, product recommendations, capital allocation, and customer eligibility decisions. In some cases, those decisions are probabilistic, data-dependent, and non-deterministic. That changes the risk profile. Many boards receive AI updates as innovation briefings. Few receive t

The number of AI tools available to leaders is growing rapidly. New platforms promise speed, automation, and transformation. Most deliver some value. Few deliver sustained impact. The challenge for executives is not knowing how to evaluate all of these AI tools . Why Tool Evaluation Matters AI tools are not neutral. They influence: how teams work how decisions are made how information flows through the organization Choosing the wrong tools creates inefficiency and can open th

Prompt-generated image via Google Gemini’s Nano Banana 2 By Moha Shah, Venture Capital Leader & Innovation Operator | Fortune 100 to Startups | AI, Mobility, Climate, & Fintech/Insurtech AI is set to transform many industries, including one of the most storied in the world – the legal sector. In this article, we’ll explore how AI is driving the legal industry’s transformation, AI-native startups to watch, and legal professionals’ views on AI’s impact on law firms’ busines

Female Founders Presenting at WxAI and Convex Demo Day Last night in San Francisco, we hosted the WOMEN x AI Demo Day in partnership with Convex. Seven founders got up and showed what they’ve actually built. Products in motion. Early traction. Real feedback. This is where you go beyond the headlines and the hype and start to see what’s real in AI. 📸 A big thank you to Natasha Renée, of Featured Founders who helped us capture the evening. Check out the Demo Day gallery! Wha

Artificial intelligence is reshaping enterprise strategy, risk exposure, and operational systems. As a result, boards are increasingly responsible for structured AI governance oversight. Boards do not need to understand model architecture. They do need to ask better governance questions. The quality of AI oversight is often determined not by technical depth, but by the discipline of inquiry. These AI governance questions for boards are grounded in fiduciary responsibility and

Artificial intelligence discussions often blur the line between AI governance and AI ethics. For boards of directors, that distinction is not semantic. It is structural. AI ethics defines principles. AI governance defines accountability. Understanding the difference between AI governance and AI ethics is essential for directors who carry fiduciary responsibility. What Is AI Ethics? AI ethics refers to the principles that guide how artificial intelligence should be designed an

As artificial intelligence reshapes enterprise risk and strategy, boards face a practical governance question: Which committee oversees AI? AI and board committees are now directly connected. Oversight cannot remain informal, and responsibility cannot remain ambiguous. If AI influences enterprise value, committee ownership must be defined. Why Committee Placement Matters Board committees are not administrative structures. They are accountability mechanisms. Committee placemen

Board directors, executives, and governance-focused leaders gathered to explore AI oversight, risk, and board readiness using the AI Board Governance Compass. On March 19, 2025, WOMEN x AI partnered with the Silicon Valley AI Hub to host AI Board Governance in Practice, an interactive workshop focused on one of the most pressing questions facing boards today: How prepared are we to govern AI? As organizations accelerate AI adoption, boards are increasingly being asked to prov

Author: Pooja Kashyap is a technology enthusiast and Conversational AI Evangelist at Conversive AI , operating at the intersection of academia and industry while shaping thought leadership across the messaging and AI ecosystem. She is also a marathon runner with nearly 40 races completed since 2016, bringing endurance and curiosity to both her work and life. Prompt-generated image via Gemini In 2018, Amazon quietly scrapped an AI hiring tool it had spent years building. T

Artificial intelligence is increasingly influencing strategy, operations, and enterprise risk. Yet many boards still treat AI as an occasional update rather than a recurring governance topic. If AI affects enterprise value, it belongs on the board agenda. The question is not whether AI should appear on the agenda. The question is how. Step 1: Clarify the Purpose of AI Discussions AI conversations can drift into technical detail unless the board defines its governance objectiv

Artificial intelligence is increasingly embedded inside third-party software. From CRM platforms to HR systems to cybersecurity tools, many vendors now include AI features by default. In some cases, sensitive company data is being transmitted to external models without clear visibility at the board level. For directors, this creates a governance question: How should boards oversee third-party AI exposure? This is not an operational issue. It is a governance issue. Why Third-P

Panelists Speaking on the AI Landscape in 2026 Last night WOMEN x AI hosted a conversation titled: AI Landscape in 2026: What Matters and What Doesn’t. This was not a trends panel. It was a judgment panel. The room was full of founders, investors, operators, and executives trying to answer one question: What deserves our attention now and what is noise? Here’s what we discussed: 1. AI Is Moving From Interface to Infrastructure Many leaders still treat AI like a feature. A ch

Prompt-generated image via ChatGPT By Moha Shah , Venture Capital Leader & Innovation Operator | AI, Mobility, Climate, & Fintech/Insurtech | Fortune 100 to Startups In the World Economic Forum’s 2025 Future of Jobs Report , 85% of employers surveyed plan to prioritize upskilling their workforce. New AI tools and AI-first startups are launching each week, and it can feel overwhelming. During the latest Generative AI wave , tools such as ChatGPT, Claude, Perplexity, and Sora

Prompt-generated image via Freepik By Moha Shah , Venture Capital Leader & Innovation Operator | AI, Mobility, Climate, & Fintech/Insurtech | Fortune 100 to Startups The Boston Consulting Group forecasts that the market size for AI agents will reach $52.1 billion by 2030. This signals that AI agents will transform the future of work by autonomously completing workflows with orchestration across business functions and teams. While AI tools such as Claude, ChatGPT, and Gemin