WOMEN x AI

This episode explores AI board governance featuring insights from industry experts on frameworks, case studies, and practical tools to help board members navigate AI responsibly.
Join Reut Lazo and Jenny Kay Pollock in their conversation with Paula Fontana, Joanna Ridgway and Tamara Gracon.
Topics
AI governance frameworks
Case studies in AI decision-making
The Private Governance AI Compass
Balancing innovation and risk in AI
Board-level AI oversight
AI is already shaping business decisions in ways that are often invisible, making governance critical.
The AI Board Governance Compass provides a practical, repeatable framework for assessing AI risks and opportunities.
Progress over perfection is a key principle—start with questions, not answers.
Boards need to be equipped to ask the right questions about AI, even with incomplete information.
Embedding AI oversight into regular board discussions is essential for responsible governance.
The AI Board Governance Compass: Navigating AI with Confidence
5 Key Strategies for Effective AI Governance in the Boardroom
Key Quotes:
"AI is already shaping our decisions in unseen ways."
"Boards need practical tools to navigate AI risks."
"Effective governance balances innovation and risk."
Resources:
Full AI Board Governance Compass Framework
⁠WOMEN x AI Website⁠
The Creative Act by Rick Rubin
Empire of AI by Karen Hao
AI Daily Brief Podcast
Chapters
00:00 Introduction to AI and Boardroom Governance
01:20 Intros
05:42 Unveiling the AI Board Compass
11:26 Understanding the Framework's Quadrants
16:48 The Importance of Data in AI Governance
22:38 Case Studies: Practical Applications of the Framework
30:44 Good Governance in the Age of AI
35:38 Lightning Round: AI Tools and Resources
40:05 Key Takeaways for Board Members

How AI is reshaping product management from idea to launch? The panel digs into strategy, PRDs, research, prototyping, analytics, guardrails, and the human judgment that still holds it all together.

“AI gives you what you give it. It can enhance your voice, but it cannot replace your thinking or your voice.” — Namisha Balagopal

Guests
Namisha Balagopal — Product leader across HP, Twitch, Amazon, and digital health

Mayan Shay May-Raz  — Principal Product Manager, Amazon Search, former AR and VR PM at Lenovo and Meta startup

Dr. Nancy Li — Founder, PM Accelerator, YouTube and LinkedIn Top Voice

Jasmeen Bal — Product leader in the EV charging industry, former automotive engineering

Hosts
Reut Lazo, Cofounder and Co-CEO, WOMEN x AI
Jenny Kay Pollock, Cofounder and Co-CEO, WOMEN x AI

What We Cover
How AI speeds strategy, PRDs, and stakeholder buy-in
Research at scale with interview synthesis and insight mapping
Prototyping and UI flows with AI design helpers
Data quality, cleansing, and why your inputs determine your outputs
Hallucinations, bias, and practical guardrails in production
The evolving PM role, specialization, and parallelized build cycles
Blending AI insight with human empathy and product taste

Key Takeaways
AI is a force multiplier for PMs who stay in the loop and think critically.
Inputs matter. Define personas, context, and goals to get useful outputs.
Use AI to compress time, then spend the saved time on deeper questions.
Guardrails require humans. Validate facts, monitor outputs, and design for failure cases.
Clean data beats big data. Aggregate, de-dupe, and cleanse before you trust.
The PM toolkit is changing, but storytelling and empathy still win rooms.
Product orgs will specialize. Core feature PMs, growth PMs, and internal tooling PMs can move faster with AI.
Parallelize more. Strategy, research, prototype, and QA can run together with AI assistance.

Tools Mentioned
Dovetail — Customer interviews, synthesis, and insights
Lovable — Prompt to clickable prototype for faster stakeholder alignment
Claude — Reasoned writing, persona-aware drafting, and analysis
Amplitude — Product analytics and auto-captured events for faster decisions
Fathom — Meeting records, notes, and action items

Also referenced: Miro AI, Figma, GitHub Copilot, Cursor, Google Vertex AI, RAG and multi-agent patterns

Resources and Recs
Storyworthy by Matthew Dicks, on storytelling that lands with stakeholders
On Purpose with Jay Shetty — Madonna interview on resilience and belief
Power and Prediction by Agrawal, Gans, and Goldfarb, on how AI shifts decision making

Chapters
00:00 Intro and why AI in product matters now
01:09 Guest intros
05:06 How AI changes PM work and team velocity
08:44 First moments when AI changed their product practice
14:36 Strategy, speed, and decision making with AI
15:13 Research at scale and the Dovetail workflow
16:53 Blending AI insight with human intuition
20:21 Designing an AI-native product process end to end
23:29 Specialization and faster iterations across the lifecycle
24:40 Parallelizing strategy, prototyping, research, and QA
26:32 Risks and challenges, overreliance, and “vanilla” docs
28:01 Hallucinations and practical guardrails in production
33:39 Tool favorites of the week
37:40 Non-AI recommendations and why empathy still matters
41:02 How WOMEN x AI helps members grow
43:07 Closing and final quote

Recorded for the WOMEN x AI community. Learn more and join at www.womenxai.com.

In this episode of WOMEN x AI, marketing leaders discuss the integration of AI into go-to-market (GTM) strategies. Sharing insights on how AI serves as a powerful tool for content creation, self-improvement, and enhancing marketing efficiency.
The conversation highlights the significant shifts in marketing practices due to AI, emphasizing the importance of understanding systems and leveraging automation to free up time for strategic initiatives.
The experts also explore the democratization of marketing tools through AI, making them accessible to startups and smaller companies.
Takeaways
AI is a powerful tool for go-to-market strategies.
Using AI as a collaborator enhances creativity.
Trust in AI outputs requires verification and refinement.
AI democratizes access to marketing tools for smaller companies.
Automation allows teams to focus on high-value strategies.
Understanding your systems is crucial for effective AI integration.
AI can synthesize information across various touch points.
Salesforce's agent force launch marked a significant shift in marketing.
AI helps marketers meet buyers where they are.
Self-improvement through AI can enhance communication skills.
AI Revolutionizing Go-to-Market Strategies

Soundbites
"AI is a powerful tool for go-to-market."
"Trust but verify with AI outputs."
"AI helps us meet buyers where they're at."

Chapters
00:00 Introduction to AI and Go-To-Market Strategies
01:38 Utilizing AI in Marketing: Insights from Experts
09:41 Shifts in Go-To-Market Strategies Due to AI
11:21 Realizations of AI's Impact on Product Launches
18:16 AI's Role in Enhancing Go-To-Market Efficiency
22:56 Streamlining Workflows for Effective Change Management
24:03 The Balance of Automation and Personalization
25:31 Building Trust Through Internal Testing
27:49 Proactive Market Shaping with AI
30:12 Accelerating Sales Cycles and Trust Building
34:55 The Human Element in AI Workflows
37:38 AI Tools and Recommendations for Success
39:57 Community Support and Learning in AI

In this episode we discuss the transformative impact of AI on sales processes and customer interactions.
Special Guests:
Saumya Bhatnagar – CPO & Co-Founder of Involve.ai, building Jeeva, an agentic sales automation platform; recognized as one of the Top 100 Women in AI
Summer Poletti – Fractional CRO, Founder of Rise of Us, and Host of the Revenue Remix podcast
Amirah Raveneau-Bey – Founder of Grow, Scale, Develop; Fractional Advisor, Executive Coach, and Speaker with 25+ years in FinTech, real estate, and startups

Host: Jenny Kay Pollock Cofounder & Co-CEO WxAI

We explore how AI is reshaping the sales landscape, enhancing human connections, and automating time-consuming tasks. The conversation highlights the importance of integrating AI tools into sales strategies while maintaining a human touch and understanding customer journeys.
The guests share insights on the future of sales, the role of automation, and the necessary guardrails for using AI responsibly

Takeaways
AI is a competitive necessity in sales.
Human relationships remain fundamental in sales, even with AI.
AI helps sales reps prepare better for meetings.
Automation allows sales reps to focus on building connections.
AI can enhance the customer journey by providing insights.
Sales reps can leverage AI to ask better questions.
AI tools can help shorten the sales cycle.
Recording calls can provide valuable insights for sales reps.
AI should be used with caution due to potential inaccuracies.
Understanding customer journeys is crucial for effective sales.

Resources & Mentions
🤖 AI Tools & Platforms
Fathom – AI-powered meeting notes and call summaries

Otter – Transcription and AI notetaking for calls and meetings

Granola – AI meeting assistant Jenny used during the recording

Riverside – Podcast recording platform with AI-generated show notes

Jeeva.ai – Agentic sales automation platform co-founded by Saumya

Cast Magic – AI tool for turning call recordings into notes, emails, and follow-ups

Cloud Desktops MCP – Secure desktop solution for hosting custom GPTs (mentioned by Summer)

Andi – AI-powered search and workflows (Amirah referenced for sales templates)

Cursor – AI coding assistant with ChatGPT-5 integration

📚 Newsletters, Podcasts, & Learning Resources

WOMEN x AI (WxAI) Social Saturday – Weekly conversations and learning with the WxAI community

AI Daily Brief – Short daily podcast with the latest in AI

Superhuman Newsletter – AI and productivity insights

Women in AI LinkedIn – Updates and thought leadership from the global community

TLDR Newsletter – Daily tech and AI digest

Lenny’s Newsletter – Product and growth strategy insights
Journal.io – App that turns AI research papers into audio summaries

🌟 Non-AI Recommendations

⁠Summer Poletti's White Chili ⁠ – sSeasonal favorite (vegetarian, vegan, or with meat) (link TBD)

Libby App – Free audiobook app from your local library

Love is Blind (Netflix) – Reality TV show

Chapters
00:00 Introduction to AI and Sales
04:03 The Importance of AI in Sales
09:47 AI's Impact on Sales Processes
16:33 Automation in Sales
23:16 Guardrails and Limitations of AI
29:56 Customer Journey and AI
34:28 Lightning Round and Community Engagement

This conversation explores the multifaceted world of data and AI, focusing on the importance of data analysis, ownership, and ethical considerations.
Special Guests:
Annie Xu - Works at Google Cloud, focusing on customers building LLM foundation models
Kasia Rachuta - Works at Block, within the identity verification space at Square
Rachel Mak-McCully - Works at Unlearn, a startup in health AI

Hosts: Reut Lazo & Jenny Kay Pollock Cofounder & Co-CEOs WxAI

The speakers discuss their journeys into tech, the challenges of data collection, especially in healthcare, and the biases present in AI models. They emphasize the need for collaboration across various data roles and the significance of human feedback in AI development. The conversation also highlights the role of women in tech and the importance of community support in navigating these challenges.

Takeaways
Data analysis is crucial for making informed decisions.
Collaboration among data roles enhances the effectiveness of data usage.
Healthcare data collection faces unique challenges due to fragmentation.
Bias in AI models can stem from skewed training data.
Human feedback is essential in refining AI models.
Ethical considerations in data collection are increasingly important.
Women are underrepresented in technical data roles.
Community support can foster connections and opportunities in tech.
Diversity in data committees can help address biases.
Understanding data ownership is vital for ethical practices.
Navigating the Data Landscape: Insights from Women in Tech
The Power of Data: Ownership, Ethics, and

Resources
Weapons of Math Destruction - A book referenced by Rachel Mak-McCully.
Perplexity - An AI tool mentioned by Rachel Mak-McCully.
Notebook LLM - An AI tool mentioned by Annie Xu.
Goose - An AI tool mentioned by Kasia Rachuta.
Kaggle GenAI Challenge - Recommended by Kasia Rachuta for learning about GenAI.
Tiny Experiments by Anne-Laure Lecomf - A book recommended by Rachel Mak-McCully.
Maybe Happy Ending - A Broadway show recommended by Annie Xu.
Butter by Azako Yuzuki - A book recommended by Kasia Rachuta.

For more from our community check out www.womenxai.com

Chapters
00:00 Introduction to AI and Data
03:08 The Importance of Data in AI
05:30 Personal Journeys in Data and AI
08:29 The Role of Data in Decision Making
11:24 Ownership and Responsibility in Data
13:55 Bias and Representation in Data
16:41 Human Involvement in Data Processes
19:33 Privacy vs. Progress in Data Collection
22:05 Regulations and Their Impact on Data Practices
25:58 The Impact of Proxies in AI and Regulation
26:56 Legislation and Trust in Technology
28:42 Women in Technology: Visibility and Representation
31:41 Data Quality and Iterative Processes
34:22 AI Tools: Community Recs
36:32 Learning Resources for AI Enthusiasts
38:52 Lightning Round
42:15 Community Support
43:44 Community and Collaboration in AI Learning