He has excellent design skills, a strong grit and passion to grow which leaves a positive impact on everyone in the team. He is outgoing and willing to reach out to people from various departments for solving problems.
Kshitij Minglani
CEO, LottieFiles
Based on my entire tenure of working with him, I can certainly state that Utsav is a driven, proactive, helpful, smart, and organized professional. He has the combination of analytical and creative thinking and communication skills that makes him an outstanding professional.
Pizza Yap
Design Lead, LottieFiles
utsavve@gmail.com
utsavve@gmail.com
Clay has radically changed how GTM teams find data and insights,
but when it comes to handling numerous data points, complex integrations, and designing custom enrichments and workflows, users still face difficulties.
Overwhelming for New Users
What if users had a companion
while creating tables guiding them step by step
with personalized recommendations?
The platform’s breadth of features and integrations can feel overwhelming, especially for those not using it daily or lacking technical expertise. Setting up workflows, waterfalls, and automations requires a significant investment in learning and experimentation
Opportunity
Problem #1
Advanced features are challenging.
What if a tool can look into APIs, enrichments, existing workflow and configurations to recommends appropriate
steps for desired results?
Configuring up APIs, creating and understanding workflows, and mastering advanced features like waterfall enrichment can be daunting and time-consuming.
Opportunity
Problem #2
Fragmentation in user flows
What if a single AI agent could weave together all existing features and sit by the user’s side?
From creating tables to enriching and transforming data, Clay's UI, split across multiple screens and modals, fragments the user experience, causing confusion and inefficiency. Users struggle to maintain context while navigating disjointed interfaces,
Opportunity
Problem #3
One of the many solutions from ideations
Introducing Clay AI assistant
A conversational assistant composed of four agents Find, Enrich, Transform, and Create that not only generates tables and help with finding data but also ideates best possibilities alongside users, becoming a true companion on user’s journey to find the right data.
Context-Aware Recommendations
Stack aware Intelligence
Proprietary Safe AI
Why AI assistant?
Based on a strong understanding of both technology (Datapoints, Enrichments, Integrations, APIs) and user needs (Intentions, patterns, needs), the AI assistant can deliver specific solutions instead of relying on abstract guesses or creative improvisation. The key is to understand the user’s context and the AI’s capabilities, so that the intersection becomes a space where the AI can offer meaningful respsones.
Design components & interactions
Components are designed to scale seamlessly with new features, evolving over time into a one-stop solution for users to understand and act on any GTM data.
Clay Assistance
Use a template
Import from CSV
Find
I want to collect data on NYC healthcare SaaS companies: Company name, founding year, funding, stage, employees, recent features, news, CTO details, LinkedIn, and email contacts.|
Find
Use a template
Import from CSV
I want to collect data on NYC healthcare SaaS companies: Company name, founding year, funding, stage, employees, recent features, news, CTO details, LinkedIn, and email contacts.|
Finding stage and employee count
Suggested data
Clay AI assistant has added 50 companies in the table would you like to keep them or edit further?
Keep
Edit
1
Company
Do you have any preferred company sizes? *
50-200
Select one or more company types?
Privately Held
Any keywords that you would like to include? or exclude?
Insurance
Marketing, Sales
2
Location
3
Exclude companies
Generate preview
Total cost
~13 / row
Assistant is centered around all features and ecosystem clay is offering, acting intentionally
While bridging the gap between knowledge and understanding, this agent acts with context and intent. Its familiarity with Clay and the user’s tech stack gives it greater meaning and precision.
CRM enrichment and maintenance
TAM sourcing & territory planning
Inbound lead enrichment & routing
Intent-based outreach flows
AI powered outbound campaigns
Account based marketing
Clay AI assistant
Data enrichments
AI agents
What impact it could possibly bring
2.5x
faster user activation for new users and teams
25-30%
reduction in manual time spent creating GTM data sheets and understanding & setting up automations
$ 100k+
saved annually in onboarding and support costs
and It significantly reduces cognitive load for users, allowing them to focus on what matters most!
We only scratched the surface, this is just the beginning of what an AI-powered Clay Assistant can unlock for every user.
And I’d love the opportunity to explore possibilities like this with product design team at Clay to support GTM teams.
I’m Utsav, a recent graduate from Parsons School of Design with over five years of experience as a Product Designer in fast-paced startups, with a background in technology, strategic design, and management.
I hold an M.S. in Strategic Design and Management and a B.S. in Computer Engineering
Hello Claymakers! it's Utsav here, this is my pitch for Clay's product design role
