Polimorphic

AI Platform for front desk and government services

Overview

As Polimorphic’s sole founding designer during the development of the company's core platform.  I led research, UX strategy, interaction design, prototyping, design systems, and UI design. This work led us to a successful Series A raise, helping scale the business from 3 to 100+ government customers.

My work focused on two outcomes:
Expand access to essential services for residents
Reduce manual work & operational friction for staff

The Challenge

How do local governments deliver streamlined, accessible services when:

  • Staff are stretched thin
  • 46% state and local gov employees are expected to retire in the next few years according to research from Mission Square
  • Manual and paper processes are still used
  • Systems are disconnected and departments siloed
  • Institutional knowledge concentrated among long-term employees
  • Residents struggle to navigate government sites and services
  • Applications and information must be accessible to all

The Solution

Increase access for residents, and reduce time staff spends on routine work so they can redirect their time to high impact projects.

My Role

Design Lead: Research, UX & UI

Timeframe

2021- 2025 - as sole designer
2026 - as design team member as a second designer joins

Clients

119 County, court and local government municipalities

Impact

13.46 million residents served

Tools

Figma, Figjam, Lovable, Linear, ChatGPT

I led the design process across multiple areas:

User and stakeholder research
Product and UX strategy
Information architecture
User flows and workflow design
Wireframing and prototyping
Interaction and UI design
Design system development
Usability testing
Cross-functional collaboration with team

The early research of travelling to city halls and interviewing administration shaped the direction of the platform and informed the design of multiple product areas.

Throughout the process, I worked closely with engineering and leadership to balance user needs, technical constraints, and business priorities while continuously testing and incorporating feedback from customers.

How cities use Polimorphic                 

Tooele, in Tooele County, Utah

Improving Internal Efficiency

The Problem

Government teams are managing increasing workloads with limited staff capacity. Tooele county saw an increase in residents to serve and workload without an increase in staff. These long term employees hold the knowledge of how the government operates in their heads without a way to easily train the next generation.

Design Goal

Help staff increase efficiency.

Key product decisions

New streamlined workflow

Digital applications with an AI Pre-Review check get routed to staff for approval and processing

Impact of using Polimorphic

24/7

Document Submissions

Residents and developers can now submit 24/7. This flexibility for after traditional business hours has reduced turnaround times and increased customer satisfaction.

Error Reductions

By leveraging AI pre-review to assist with document indexing and processing, the office saw a notable reduction in errors, improving the overall accuracy of the work.

3x

Processing Capacity

Despite the workload tripling, the office was able to maintain high levels of efficiency without increasing staff.

Pacifica, CA

Simplifying Resident Services

The Problem

Residents struggle to navigate government sites and services. People often don’t know the correct terms, how a city organizes departments, or where to find what they are looking for. 

Many services are manual and paper processes. Paper applications and processes require in-person visits and place a time-tax on residents.

Design Goal

Make resident-facing services easier to access, understand, and complete independently.

Key product decisions

24/7 Self-Serve products

AI chat, voice and search

Impact of using Polimorphic in Pacifica, CA

Pacifica CA added AI search, chat, text and voice which they named Rose AI, after their longest living resident. In the year since it's launch early 2024, it has won a CA Innovation award and  won the Helen Putnam Award of Excelence, but most importantly provided open and efficent constituent service, freeing up staff time for more complex and high-priority work.

12,843 

Resident inquiries
handled

200+

Staff hours saved

4,000+   

Phone calls

93%        

Success Rate

75+          

Languages on search, chat & text

30+        

Languages
supported on voice

IMPROVING ACCESSIBILITY

Residents can face barriers when government services are not accessible across languages, abilities, or devices.

The Problem

My process to creating an accessible experience

Prioritized Resident-Facing Experiences

Focused first on pages and workflows used directly by constituents. Identified forms, navigation, and content as the highest-impact areas and replaced inaccessible document-based interactions with web forms where possible

Evaluated the Platform
I learned and applied WCAG requirements and tested key workflows with screen readers. I used automated accessibility-checking tools to identify issues and showed the team how to check.

Built A Stronger Accessibility Practice

Established a reusable accessible components with the implementation of an MUI design system. I learned to do a VPAT and as the company grew I partnered with external auditors to conduct them. I also learned directly from disabled participants who tested the platform and translated testing feedback into actionable guidance for engineering.

Accessible digital forms to replace hard-to-read PDFs

Multilingual search, chat, and voice experiences

Accessibility reviews of constituent-facing pages

An accessibility statement for the platform & created VPAT

Adoption of a design system with accessible components

Collaboration with engineers to resolve accessibility issues

Conclusion

One of the most rewarding aspects of this work has been seeing how small improvements compound over time. A better workflow might save a few minutes. A searchable knowledge base might eliminate a phone call. AI-powered chat or voice support might resolve hundreds of routine requests without staff intervention. Individually, those improvements seem small. Together, they create meaningful time savings that allow staff to focus on the work that requires human judgment and expertise.

What I Learned

RESUME

©2026 Kim Scerbinski - Designed with Webflow