AI that speaks your design language
How I helped transform digital banking for 127 credit unions with AI-powered design systems, conversational interfaces, and intelligent automation — serving 2.1M members.
The challenge
Traditional banking UX wasn't cutting it. Credit union admins struggled with legacy tools, while members abandoned onboarding at a 73% bounce rate. Design teams spent weeks customizing each implementation, and support costs were unsustainable.
We needed something radically different — an AI-powered platform serving both B2B clients (credit unions) and their B2C members, scaling across 127 unique implementations.
The solution
Three breakthrough innovations that redefined enterprise banking UX.
Design Companions
AI assistants that understood our design system — vector stores containing the entire design language, process SOPs, and component library. Credit union teams generated brand-compliant designs in minutes, not weeks. Sprints ran 43% faster.
Conversational banking
Replaced wizard flows with natural conversation. Members opened accounts like they were chatting with a friend — the AI adapted questions to responses, making compliance feel effortless. Completion rates hit 90% against a 73%-bounce legacy baseline.
Enterprise AI platform
A B2B system credit unions customized without code. The AI learned from patterns across all implementations, suggesting optimizations and automating routine work. What took 40+ hours happened in minutes — $2.3M in new revenue.
Before / after — account opening
The legacy wizard lost 73% of applicants. The conversational redesign asked the same compliance questions as a chat — and completion hit 90%.
The process
From ambiguous problem to shipped solution in 11 months.
Enterprise discovery
Interviewed 47 credit union executives and 200+ members. Found the core tension: credit unions needed enterprise tools, members wanted personal touch. Initial wireframes failed — too corporate.
Failed first attempt
Built a traditional B2B dashboard. Credit unions hated it — “feels like the software we're trying to escape.” Pivoted to studying their actual workflows.
AI breakthrough
Realized AI had to absorb the customization complexity. Built the first Design Companion prototype — credit unions could finally express their brand without technical knowledge.
Conversational pivot
Member testing revealed form fatigue. Experimented with chat-based onboarding. Compliance resisted until we showed 90% completion rates.
Scale & launch
Rolled out to the first 10 credit unions. The AI learned from each implementation — by month 11, onboarding new clients took hours, not weeks.
Design leadership
Cross-functional alignment
Led a 12-person team across design, engineering, and AI/ML. Established a weekly “AI Design Sync” — 40% fewer revision cycles.
Mentoring AI-first design
Trained 8 designers in prompt engineering and AI tools. Created the internal “AI Design Playbook” adopted company-wide.
Strategic product decisions
Convinced the C-suite to invest $1.5M in AI after presenting the prototype; defined a roadmap balancing innovation with compliance.
AI-assisted research
Analyzed patterns across 50,000+ support tickets, uncovering insights human research missed and cutting support volume 67%.
The impact
“Gabe didn't just design a platform — he reimagined how credit unions operate. The AI integration feels like magic, but the real innovation is how human it feels.”
— CEO, partner credit unionKey learnings
B2B2C requires dual empathy.
Success came from making both credit union administrators and their members feel powerful.
AI scales through patterns, not rules.
Design Companions worked because they learned from usage patterns across implementations, not rigid templates.
Conversation beats configuration.
Natural language revealed user intent in ways forms never could — while making compliance feel effortless.
Enterprise AI needs human guardrails.
Automation accelerated everything, but human oversight ensured quality. The best AI amplifies human judgment.