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 Target 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
Diagram showing a bridge metaphor with the text "Implement a structured approach to identify AI leverage points." The bridge connects "Wasted resources and missed opportunities" on the left to "Clear path to value creation" on the right, representing how the AI Opportunity Target helps organizations move from confusion to clarity.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
Process flow diagram showing the AI Opportunity Target methodology as a waterfall with five key phases: AI Literacy (educate product leadership on AI concepts), Workflow Analysis (analyze current workflows and touchpoints), Data Review (review data and infrastructure for AI readiness), Opportunity Mapping (map AI opportunity zones across the organization), and Experiment List (create a list of high-impact AI experiments). The diagram flows from left to right, illustrating the structured progression through each phase.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 the Founder
Dina Levitan is the founder of Chill Labs and a product and systems strategist who helps organizations scale with intention.
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.
Optional Add-ons
Product prototype co-design
Follow-on fractional advisory services in AI, Product Management, and Design