AI Opportunity Target
Identify where AI can create leverage in your organization — before you build.
Transform AI uncertainty into actionable product opportunities and a clear path to value.
Why
Most product teams today feel the pressure to "do something with AI" — but without clear strategy, AI initiatives often waste time, budget, and trust. Instead of chasing trends, you need a grounded, opportunity-driven approach.
Most organizations approach AI with either paralysis or scattershot pilots. We offer a third path, a facilitated discovery process that transforms AI uncertainty into actionable product opportunities and path to value.
AI Opportunity Focus helps you separate signal from noise by pinpointing where AI can actually create leverage across your products, operations, and customer experience.
We focus on real business outcomes: reducing costs, increasing speed, enhancing personalization, or creating new revenue streams — not just adding AI for AI's sake.
You're seeing the signs:
- Pressure to "do something with AI" without clear direction
- Uncertainty about where AI can create real value
- Scattered pilot projects without strategic alignment
- Concerns about wasting resources on AI for AI's sake
- Need for a structured approach to AI opportunity assessment
What It Is
A 4-6 week assessment designed to help scaling product teams spot meaningful opportunities to use AI in their products without falling for the hype cycle. Engagements are tailored to your stage and scale.
Deliverables
- AI literacy alignment for product leadership
- Current workflows & product touchpoints analysis
- Data and infra review for GenAI: where to explore first
- Map of AI opportunity zones (core product, internal ops, GTM, customer support, etc.)
- Tactical experiment list: 3 high-impact concepts to test within 90 days towards a product roadmap
Who It's For
CEOs and Product Executives seeking strategic clarity, not AI hype
Ideal for teams unsure where AI could drive true product or process leverage
Benefits
Clarity over confusion
Gain a clear view of where AI makes sense for your org — not just what's trending.
Faster, smarter prioritization
Avoid weeks of spinning wheels. Quickly surface 2–3 high-leverage bets that are worth testing now.
Infrastructure-aware planning
Know what's possible based on your current data and systems — and where you may need to level up.
Momentum with experiments
Leave with a set of tactical, high-impact experiments that can show results within 90 days.
Meet Our Team
Experienced professionals in product strategy, AI innovation, and business transformation
Dina Levitan is the founder of Chill Labs and a product and systems strategist who helps organizations scale with intention. Dina spent over seven years at Google leading global systems on products such as Gmail, Ads, and Compute Engine, and built a 2,000+ person global mentorship program.
She combines her deep technical background (MIT CS), business acumen (MBA), and expertise in product discovery, user research, and strategy to help companies build products that users want and do so in a way that supports growth and scale.
Today, she works with high-growth companies to unlock velocity by getting closer to users, uncovering bottlenecks, designing resilient systems, and creating the conditions for teams to scale with confidence. She loves tending to her garden and fruit trees in between participating in pun slams.
Patrick Brady is an accomplished innovator and dynamic leader who helps organizations unlock growth. With a background in engineering, business strategy, and market development, he guides teams through high-impact transformations that bridge technology with real-world needs.
Patrick has founded and led multiple companies across SaaS, telecommunications, fintech, and energy tech, most notably RedWave Energy, where he led groundbreaking R&D and raised $20M in funding, and Apropos Technology, where he increased revenue from $100k to $20M and successfully took the company public on NASDAQ.
He brings deep experience in revitalizing businesses, developing IP portfolios, and building strategic partnerships that scale. He's especially passionate about helping teams connect emerging technologies to market-ready solutions with clarity and purpose.
Teresa Escrig is a seasoned AI executive, scientist, and entrepreneur with 30+ years designing systems that are intelligent, transparent, and aligned with human values. She has led global AI efforts at Microsoft and Accenture, building Responsible AI frameworks, embedding ethical oversight into MLOps pipelines, and developing explainable decision modules for complex systems like autonomous vehicles.
She's founded three AI startups, including Cognitive Robots and Qualitative Artificial Intelligence, bridging research and real-world applications in robotics, computer vision, DNA sequencing, and industrial control. Teresa has led multimillion-euro projects, authored patents and papers, and published Safe AI, offering a blueprint for ethical AI integration.
Today, she helps mission-driven teams integrate AI with clarity and innovation. Her work combines technical depth with strategic insight to ensure AI improves performance while driving towards long-term user trust and the greater good.
Luke Armstrong is the founder of RenMind and a product strategist who helps teams turn uncertainty into clarity. With a background in UX, business strategy, and AI innovation, he guides organizations through structured processes that surface meaningful opportunities and build resilient, adaptive systems.
Luke has worked with startups, agencies, and enterprise leaders to develop adaptive services, articulate product visions, and create go-to-market clarity in fast-changing landscapes. He's especially passionate about helping product teams navigate emerging technologies like AI with confidence, context, and purpose.
Optional Add-ons
Product prototype co-design
Follow-on fractional advisory services in AI, Product Management, and Design