Hello there, I'am
Amit Marathe
Principal UX Designer
Designing AI experiences that humans trust
17 years designing complex enterprise products across fintech, healthcare, and SaaS. Today I focus on what's next- AI agent workflows, human-AI collaboration models, and design systems that scale across product lines.
Why most AI chatbots fail as UX, not as AI
SERVICE NAME
Describe the key features of the service and how users can benefit from it.
SERVICE NAME
Describe the key features of the service and how users can benefit from it.
SERVICE NAME
Describe the key features of the service and how users can benefit from it.
I design the space
between human intent
and AI capability.
Most AI products get the model right and the experience wrong. I focus on the layer that makes AI feel trustworthy, controllable, and genuinely useful — not just impressive.
My AI Design Philosophy
"The best AI experience is one where the human feels more capable —
not replaced, not overwhelmed,
not dependent.
The AI should feel like a highly competent colleague who knows when to act, when to ask, and when to step back."
I came to AI design through 17 years of enterprise UX — designing contract management platforms, compliance ecosystems, banking systems, and developer tools.
In every one of those domains, the biggest UX challenge was never the interface.
It was cognitive load: too many decisions, too much information, too little clarity about what matters now. AI, done well, is the answer to that challenge. Done poorly, it's another layer of noise. My job is to make sure it's the former.
Principles I use to design AI
1
Trust before capability
An AI feature that users don't trust is a feature that doesn't exist. Before I design what the AI does, I design why the user should believe it. Explainability, confidence indicators, and graceful failure states come first — always.
3
Explainability is a design problem
"The model predicted X" is not a UX. I translate AI reasoning into language and visuals that build understanding — not just output labels. If a user can't understand why the AI did something, they can't trust it, fix it, or learn from it.
The human stays in the loop
2
AI should augment decisions, not make them invisibly. Every AI-generated output I design includes a visible seam: what did the AI do, why, and how does the user override it? Control is not a feature — it's a fundamental right.
Fail gracefully, fail visibly
4
AI systems are probabilistic. They will be wrong. The question is how the experience handles being wrong — does it confuse, hide, or recover? I design AI failure states with the same care as success states
Design for the full collaboration arc
5
Human-AI collaboration isn't a single moment — it's a relationship across time. I design for the new user who needs guidance, the expert who needs efficiency, and the frustrated user who needs to recover. The AI experience must grow with the person using it.
How I evaluate every AI interaction I design
Before any AI feature goes to wireframes, I run it through this five-question framework. It's how I decide what the AI should do, how much autonomy it should have, and what the human always controls.
I worked with
Principal Product Designer
Coforge Ltd. May 2020 – Present · Pune
Leading product design across enterprise SaaS, fintech, and AI-native applications. Shipping design systems, AI experiences, and mentoring a distributed UX team.
UX Architect
Schlumberger (SLB) Jun 2016 – Sep 2017 · Pune
Schlumberger (SLB) Jun 2016 – Sep 2017 · Pune
Set up UX practice at Pune Technology Centre. Built team from 1 to 5. Delivered 2 MVPs and achieved 51% CSAT through research-led design.
UI Lead
Infosys Ltd. May 2011 – Apr 2013 · Bangalore
Designed retail banking experiences for SBI, ICICI, and PNB serving millions of users across web and mobile with multilingual and accessibility-first design.
UX Architect
Icertis Pvt. Ltd. Oct 2017 – May 2020 · Pune
Led UX practice for the world's leading CLM platform. Raised CSAT from 27% to 47%. Worked with Apple, Google, Daimler on platform customisation.
Senior UX Lead
Persistent Systems Ltd., Apr 2013 – May 2016 · Pune
Designed the SLB Ocean platform — a multi-user enterprise ecosystem for geophysicists and developers. Increased WAU by 23%, NPS 8, and reduced support tickets by 27%.
UI Lead
Hettich Ltd. Sep 2009 – May 2011 · Bangalore
Leading product design across enterprise SaaS, fintech, and AI-native applications. Shipping design systems, AI experiences, and mentoring a distributed UX team.
I contributed in
Recent Projects
Outcome
Platform Modernization with AI
A Scalable UX Transformation for Enterprize with AI
with 30,000+ customers across 190+ countries
RegistrarCorp is a U.S.-based regulatory compliance company that assists businesses in complying with U.S. Food and Drug Administration (FDA) and other U.S. Government agency regulations.
Objective
Lead modernisation of a legacy US FDA (food & drug administration)Compliance monitoring platform used by global regulatory consultants
The Challenge
-
Fragmented workflows and inconsistent UI
-
Low user adoption and poor task efficiency
-
Design not aligned with FDA audit standards
Role
1/12
-
Set UX vision and strategy aligned to business OKRs
-
Changed mindset from product to platform
-
Created a design system for scalable and compliant UI
-
Evangelized UX across regulatory, product, and engineering teams
-
Improved user efficiency by 30%
-
Reduced onboarding time by 40%
-
Positioned RC platform for FDA audit readiness
-
Elevated UX maturity across the organization
Design System
Design Strategy, Governance, Scalability,
Cross-functional alignment and Components
Aderant is a global leader specializing in business management software solutions for law firms and other professional services organizations.
Objective
Built Design System for:
-
Product Type: Multi-tenant enterprise platform
-
Design Team: 10+ distributed designers
-
Engineering Teams: 100+ product teams,
-
Tech Stacks: 3
Challenges
-
Customised requirements for individual products
-
Multiple technology stacks for development
-
Geographically divided design and engineering team working in silos
-
Attrition in design and engineering teams
-
Unavailability of a single source (guidelines) of truth for using the design assets
-
Inconsistency in implementation due to manual component creation by the engineering team
Role
Outcome
-
Led the creation and rollout of a scalable, component-driven design system that could work across multiple product lines and tech stacks.
-
Defined architecture, taxonomy, naming conventions
-
Built the contribution model and governance framework
-
Drove adoption across design, dev, QA, and PM teams
-
Partnered with frontend leads to sync Figma with code (Storybook/Angular)
2/12
Consumer Mobile App
Progressive Mobile App for a Startup
German Startup focusing on domain of youth football.
Their product app, is a talent scouting and networking platform for young footballers aspiring to play professionally.
Objective
Build the social network necessary for youth football/soccer talents to become professional players.
Connect youth soccer talents with professional soccer clubs by digitising, standardising, standardizing and rating data
The Challenge
-
Validate and Convert Product Idea into tangible business solution
-
Co-Founders in Germany
-
Initial target market German Speaking Countries
-
Geographically separated PM+UX+Engg. Team in India collaborating using Agile methodology
-
Strict restrictions due to COVID-19
Role
-
Discovery workshops for shared understanding between stakeholders, PM and UX
-
Understand Business vision
-
Validate users and Define Problem Statement
-
Define user journeys based on stakeholder workshop and user interviews
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Feature prioritization
-
User Testing
-
Technology Selection
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UBA and necessary changes
Outcome
-
3000+ Users in six months of app launch
-
Ranked 2nd Sports App in Germany in 3. 5 months
