Where Product Teams Learn to Design AI That Works
Discover the right use cases. Align cross-functional teams. Design responsible AI products that deliver real value
If your organization is being told to "adopt AI," STRAT helps you figure out where AI creates value, how to scope it, how to design it, and how to build it safely across UX, PM, Data Science, ML Engineering, Legal, and Business.
AI Isn’t a Technology Problem. It’s a Prioritization Problem.
STRAT workshops have been hosted by Google, Netflix, LinkedIn, Meta, Microsoft, Booking.com, IBM, and many leading digital design teams worldwide. The content is practical, designed for real product environments.
Many enterprise AI initiatives stall because teams don't know how to:
Identify high-value use cases Align stakeholders early Frame problems with enough precision Validate feasibility and data readiness Design for trust, transparency, and safety Fit AI into complex real-world workflows Pilot responsibly without derailing the roadmap
STRAT fills the gap between executive mandates and engineering experiments — giving cross-functional teams a shared method for designing AI that’s valuable, safe, and feasible.
Your Organization Has AI Pressure, But No AI Playbook
Leadership
Demands AI, but teams lack a shared decision-making framework
UX + Product
Can't align with DS/ML without common language
Data Science
Needs tight problem framing and clearer success metrics.
ML Engineering
Needs guardrails, constraints, and feasibility signals.
Compliance + Legal
Need transparency and defensibility.
Business
Wants measurable ROI
Right now, no one owns the end-to-end AI experience.
STRAT gives your teams the playbook and shared framework they need.
Past Moments
Real sessions with leading teams at Google, Netflix, Meta, and more
Two Ways to Ramp Up on Successful AI Product Design
AI Use-Case Discovery Skill Lab (2 Hours, Online)
Audience: UX, PM, DS, ML, Engineering, Ops, HR, Legal, Leadership
Price: $95
Date & Time: Tuesday, Jan 20, 2026 at 12:00 PM to 2:00 PM EST
A fast, hands-on introduction to discovering and prioritizing AI opportunities across the enterprise. Perfect top-of-funnel training or a cross-functional kickoff.
You'll learn:
How to spot the 10 traits of AI-ripe processes How to score ideas using a 5-dimension canvas How to map value vs feasibility How to avoid the most common AI-pilot failure modes
Outcome: Everyone leaves with one scored use case from their own world and a repeatable evaluation framework.
Full-Day In-Person Enterprise AI Product Strategy Workshop
Audience: Cross-functional enterprise teams
Format: Onsite, 8 hours (internal only or community event)
Helping UX and Product Design Teams Make the Transition to AI Design. This one-day, hands-on workshop helps UX and Product Design teams apply a human-centered lens to AI-driven experiences. It delivers practical methods, tools, and templates to help your team identify and maximize its most impactful role in shaping AI-powered products.
Teams will:
Discover and prioritize use cases in which AI creates real user and business value Design AI experiences using storyboards and action flows Map user goals to prompt-and-response flows using off-the-shelf APIs Prototype and test critical AI moments Build transparency, fairness, and recovery paths into every AI interaction Evaluate success through user outcomes Design guardrails and human-in-the-loop Collaborate with data science and ML teams
Outcome: Your team leaves with one or more AI pilot concepts and a repeatable discovery method.
AI Experience Architect™ Certification
AI Experience Architect™ (AIXA) defines the next-generation enterprise role that connects Business, UX, Data, ML Engineering, and Governance to design AI that's safe and valuable.
This multi-module program will train professionals from many different functional areas to:
Frame AI problems and opportunities Design AI-human workflows Construct IO tables and interaction flows Evaluate will model behavior and failure modes Design responsible AI interfaces Test with evidence and structured evaluations Produce pilot plans + governance frameworks
Developed from STRAT's decade of work at the intersection of UX, strategy, and emerging technologies.
Created for Every Role in the AI Product Lifecycle
UX Designers
Design trust patterns, escalation rules, and human-AI collaboration.
Product Managers
Repeatable method for prioritizing and scoping AI features confidently.
Data Scientists
Ensure the model solves the right user problem.
ML Engineers
Get the guardrails and constraints needed for feasible builds.
Leadership
Establish a governance framework for responsible AI adoption.
The Strat Method
Discover
Identify high-value use cases with our 5-dimension scoring canvas.
Align
Unify cross-functional teams on success metrics and risk.
Design
Map human-AI workflows, interaction patterns, and guardrails.
Validate
Prototype and test before writing a line of code.