[ WHAT WE’RE SEEING ]
Still figuring out where AI fits in your product?
Most teams do not lack AI ideas. They have too many. Sales wants one thing, product wants another, and engineering is unsure what is realistic with the data and systems already in place. The pressure to move quickly is real, but without a clear way to compare ideas, the roadmap either stalls or fills with features that solve no meaningful problem.
It’s not just about prioritization. Teams also need to weigh user value, feasibility, impact, and risk before committing engineering time. AI opportunity mapping brings those decisions together so everyone knows what to build first and what to leave behind.
Portfolio: AI opportunity mapping and AI product experience work across fintech, HR tech, project management, analytics, healthcare, and vertical SaaS.
Stakeholder Pressure
Everyone’s demanding AI. Nobody agrees on what to build first.
Feature FOMO
We’re shipping AI features just to keep up, not because they solve anything real.
Idea Overload
We have fifteen AI ideas on the roadmap and no framework to choose between them.
A clear map of the AI opportunities worth building.
Focused conversations with product, engineering, support, and sales to understand constraints, and priorities.
Review of where users waste time, repeat work, make errors, search for information, or need decisions made for them.
Assessment of your workflows, available data, integration requirements, and product foundation to determine what is technically realistic.
A visual map of potential AI-native experiences across your product, organized by workflow, user type, and value driver.
Each opportunity scored against user impact, technical feasibility, business value, and risk.
Detailed briefs for the highest-priority opportunities, covering what to build, why it matters, and what it requires.
A concise, stakeholder-ready view of the findings for your board, leadership team, or investors.
A live review of the findings, recommendations, and next steps with your team and stakeholders.
Know exactly where AI creates real value before you spend on engineering.
We’ll review your product, users, workflows, and data to show what to build first, what to validate, and what to ignore.
[ HOW WE WORK ]
A practical path to your AI opportunity map.
We start by understanding your business, product, market, goals, constraints, and the AI ideas already being discussed across your team.
Deliverables: Business Context · Product Goals · Current AI Ideas · Constraint Summary
We interview product, engineering, support, and sales to understand user pain points, internal priorities, technical concerns, and where teams currently disagree.
Deliverables: Stakeholder Interviews · User Pain Points · Workflow Insights · Opportunity Signals
We review your product experience, workflows, available data, and technical environment to identify where AI is practical and where foundational work may be required.
Deliverables: UX Audit · Workflow Assessment · Data Readiness Review · Feasibility Findings
We identify potential AI use cases and score each one against user impact, technical feasibility, business value, and risk.
Deliverables: AI Opportunity Map · Priority Matrix · Risk Assessment · Don’t-Build List
We turn the findings into clear recommendations and walk your team through what to build first, why it matters, and what it will require.
Deliverables: Top Recommendations · Executive Summary · Opportunity Briefs · Live Readout Session
[ WHAT YOU GET ]
A clear, defensible AI roadmap your team can act on.
AI opportunity map
Potential AI-native experiences organized by workflow, user type, and value driver
Priority matrix
Every opportunity scored on user impact, technical feasibility, business value, and risk
Top three build recommendations
Detailed briefs covering what to build, why it matters, and what it requires
Don’t-build list
Clear reasoning for the ideas your team should delay, rethink, or avoid
Executive summary
A stakeholder-ready one-pager for your board, leadership team, or investors
Walkthrough session
A 60-minute readout and Q&A to review findings, recommendations, and next steps.
Two kinds of teams come to us.
Your product is growing faster than your design process. New features ship weekly, new AI capabilities land, and the interface accumulates, one screen at a time, until it feels like three different products wearing the same logo. You need a system that keeps up with the product, and one that accounts for the AI states a standard component library was never designed to handle.
You’re adding AI capabilities to an existing product. The new features don’t match the old ones. Trust signals, loading states, and correction flows have no design precedent in your current system. We build the AI layer your existing design system is missing, without rebuilding everything from scratch.
[BEFORE YOU ASK]
The questions every team has.
It is a structured process for identifying and prioritizing AI use cases based on real user needs, available data, business value, technical feasibility, and risk, not gut feel.
AI strategy consulting often stays at the business or technology level. AI opportunity mapping focuses on your product experience, users, workflows, and the AI features your team can realistically build.
Yes. We have worked across fintech, HR tech, project management, analytics, healthcare, and vertical SaaS. The opportunities vary by product, but the framework remains grounded in user value and implementation reality.
We audit your product, interview stakeholders, review workflows, assess data and feasibility, and score each opportunity against user impact, business value, technical complexity, and risk.
We validate those ideas alongside the opportunities uncovered during the engagement. Some may move to the top of the roadmap. Others may need to be delayed, changed, or removed.
Not always. We need enough visibility into your workflows, available data, product architecture, and technical constraints to assess feasibility. The exact access required is defined during kickoff.
That is part of what the engagement determines. The recommendation may be to build an AI experience, improve the product foundation first, or avoid AI in a particular workflow.
Yes. Interviews, audits, working sessions, prioritization, and the final readout can all be completed remotely.
We design AI product experiences. Our recommendations are grounded in what can realistically be designed, built, tested, and adopted, not generic AI strategy frameworks.
The engagement is designed to move quickly. We focus on the decisions that matter and avoid unnecessary workshops or bloated discovery processes.
[ WHERE TO START ]
Find out where AI creates real impact in your product.
Start with a focused engagement. We’ll review your product, map the opportunities, and tell you exactly what to build first and what not to build.
[ Connect with us ]
Let's talk about your product.
Hate contact forms? Direct Contact!
Sahar
Key Account Manager
Lara Kazan
Business Development Executive
Next Steps
We'll respond within 24 hours.
Our UX Expert will collect project details and create a brief.
We'll prepare estimates and share a project proposal.