Back to Home
AI × UX Leadership

AI-Augmented UX for
FinTech & B2B SaaS

I leverage AI tools, intelligent research frameworks, and scalable design systems to drive measurable outcomes in FinTech, B2B SaaS, and enterprise products turning AI capabilities into trustworthy, human-first experiences.

10+
AI Features Shipped
90%
RCA Time Reduction
Faster Prototyping
5
AI Tools Mastered

Pillar 1

AI-Augmented Product Strategy

I use AI to accelerate strategic research, surface pattern insights from user data, and build AI-informed product roadmaps. In FinTech and B2B SaaS, every design decision is backed by intelligence not just intuition.

AI Product ROI

Using AI analytics to map UX decisions to business outcomes CAC reduction, activation improvements, and LTV impact. I present AI-generated insights alongside design rationale to C-level stakeholders in FinTech and B2B contexts.

AI-First Roadmapping

Using AI pattern analysis, competitive intelligence tools, and predictive analytics to define data-backed product visions. I ensure AI capabilities are roadmapped as first-class UX features, not afterthoughts.

Data-Informed Decision Making (The AARRR Model)

A
Acquisition
Landing Pages
A
Activation
Onboarding
R
Retention
Habit Loops
R
Referral
Viral Flows
R
Revenue
Checkout Optimization

"I use AI-powered analytics against each AARRR stage to surface where UX interventions will have the highest ROI in B2B SaaS and FinTech products."

Pillar 2

AI UX Leadership & Team Growth

I build AI-fluent design teams that can leverage generative tools, prompt engineering, and AI research methods as first-class design capabilities. I lead with accountability, ethical AI standards, and a clear vision for what "AI-capable" means at every level.

AI Workflow Coaching

I coach designers to embed AI tools Claude, Figma AI, Midjourney, Cursor into daily workflows for research synthesis, copy generation, and rapid prototyping, without losing critical UX thinking.

AI Literacy Growth Paths

Establishing AI fluency benchmarks across IC and management tracks. From prompt engineering basics for juniors to AI product strategy for seniors, I define what "AI-capable" means at each career level.

Responsible AI Design

Navigating the tension between AI capability (what it can do), user trust (what they'll accept), and compliance (what regulators allow) especially critical in FinTech and B2B data-sensitive contexts.

Pillar 3

AI Communication & Alignment

I translate AI complexity into clear product narratives helping CEOs, compliance teams, and sales understand not just what the AI does, but why users will trust it. I bridge the "black box" gap in stakeholder communication.

1

AI Feature Storytelling

Presenting AI system capabilities, limitations, and trust patterns to non-technical stakeholders and investors in FinTech and B2B.

2

Data-Driven Design Reviews

Facilitating AI-assisted critique sessions where usage data, heatmaps, and LLM insights inform design decisions not just subjective feedback.

3

AI Squad Alignment

Working with ML engineers, compliance teams, and PMs to align on AI feature scope, safety guardrails, and rollout strategies for regulated FinTech markets.

AI Facilitation Methods

Strategy

AI North Star Workshop

AI-assisted sessions aligning FinTech and B2B SaaS leadership on the single AI metric that drives product strategy and user trust.

Discovery

AI-Assisted Story Mapping

Using AI tools to synthesize user research into journey maps, enabling faster MVP scoping for AI-driven FinTech and B2B SaaS products.

Retro

AI Retrospectives

Post-launch analysis of AI feature performance: model accuracy, user trust signals, and UX failure patterns. Improving AI experiences iteratively.

Pillar 4

AI Technical Proficiency

From AI/ML UX pattern design to AI-assisted prototyping, I maintain deep technical fluency across the full AI product stack designing for model confidence, explainability, and failure states in regulated FinTech contexts.

AI-Powered DesignOps

Integrating AI into the design ops pipeline AI-generated component variants in Figma, automated token documentation, and AI-powered accessibility scanning to accelerate delivery.

AI/ML UX Patterns

Designing intuitive interfaces for AI-powered features: confidence meters, explainability panels, hallucination safeguards, and progressive disclosure patterns for complex LLM outputs in FinTech.

FinTech IA & AI Navigation

Solving complex IA challenges for AI-driven FinTech dashboards, B2B compliance tools, and multi-tenant SaaS platforms making AI-surfaced insights discoverable and actionable for power users.

Workshop Facilitation

I lead collaborative sessions to uncover insights, align stakeholders, and define product direction. These artifacts represent real-world outcomes from my facilitation.

North Star Workshop

North Star Definition

Aligning executive leadership on long-term vision and KPIs.

User Journey Mapping

User Journey Mapping

Mapping emotional highs and lows to identify key opportunities for innovation.