Ivy Mukherjee

0 -> 1 Product Design Leader with over 11 years of experience, building complex AI, B2B & B2C products.

Worked at companies ranging from startups to large orgs. Currently based in London, UK.

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Gradient Labs AI

/ Founding Designer (solo)

/ Staff Designer (solo)

/ Founding Designer (2023 - 2024)

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Inscribe Confidence Score: High

Inscribe Confidence Score: Low

Customer is here

Low

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0.5

0.75

/ Product Designer (2018 - 2019)

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Gradient Labs AI

The only AI support agent built for financial services. Our AI agent expertly handles complex customer chats end-to-end, learning from plain language procedures — no code, no decision trees, no workflows. As part of this, we’re doing away with the concept of box & arrow workflows altogether. Instead, we’re developing an engine for AI agents to safely follow SOPs that are written in plain English. We’re aiming for: Customers to get a faster, more fluid, and enjoyable experience, similar to talking to a human.

Aiming to automate 70-80% of today's manual customer ops work.

I was the Founding Designer and I worked directly with the CEO, CTO, AI scientist, ML and product engineers.

Inscribe is an end-to-end risk intelligence platform. We work hand-in-hand with fintechs, banks, and lenders to deploy reliable, safe, and scalable Agents and Models. Our pre-trained AI Risk Agents autonomously perform routine tasks for onboarding and underwriting — working alongside your team to increase their outputs.

Inscribe helps your team fast-track risk assessments with instant insights into cashflow. Using data from bank statements, pay stubs, Plaid, and MX, you can see an applicant’s revenue or personal income, loans, expenditures, and much more to understand financial health.
Spot risk signals by understanding the context behind transactions

I helped built the Credit Intelligence Platform from 0 to X mn USD ARR within 10 months.

I worked with a squad like small team in weekly sprints—with one product manager, couple of ML engineers, and GTM team.

As the founding designer my role was multifold - there was no web product, so I was working on building the platform from scratch, which meant end to end designs, building the design systems on the go, prototyping to show customers and sales teams, doing direct research with prospective customers like Stripe, Brex, Ramp, TOP USA banks etc, writing PRDs, doing workshops and what not…

Ameba is an AI-powered supply chain platform — built to turn unstructured supply chain data from emails, WhatsApp, spreadsheets, ERP and PLM systems into a real-time, single source of truth for fashion brands, garment manufacturers, and distributors.

I am the sole designer owning the entire product end-to-end — every AI-powered workflow, every data-heavy interface, every agentic automation — across both Manufacturer and Consumer Brand customers. Design directly underpinned closing several customers with 6 figures USD ACV.

Purchase Order & Sales Order Tracking: real-time SKU status tracking surfacing production delays, shipping status, terms-of-purchase updates, and OTIF performance metrics across the full order book
Automated Supplier Follow-Ups: trigger-based, rules-driven automation layer that escalates based on PO status changes and supplier response signals, freeing up to 60% of team time
Alerts & Exception Management: configurable, rules-based exception alerting with AI explainability tooltips anchoring every insight back to its source across commercial updates, delays, and stock warnings
Automated Tech Pack Processing: Ameba's most data-intensive AI workflow; end-to-end design for AI extraction, field review, error states, and ERP write-back. Launched Jan 2026, targeting ~29 min → ~5 min per tech pack
Ameba CoPilot & Platform Systems: AI-powered supply chain query layer, plus Homepage, Entity Standardisation, and Directory → Workspace pattern — all concept-originated and shipped

Human agents use systems and coordinate outputs manually to complete jobs to be done. Without the assistance of AI teammates, human agents have limited productivity.

Today

Tomorrow

AI Agents automatically coordinate the outputs of systems, summarize findings, and recommend next steps. With the assistance of AI coworkers, productivity is limitless.

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AI, 0 -> 1 product builder

I was part of the Core Growth & Data Vizualization teams and worked across 0-1, design system and analytics projects during my time.

Migration has been a frustrating experience for merchants, and results in roughly 70%-75% of them churning after their trial.

Goal: Help high potential entrepreneurs succeed on Shopify by providing them a low risk, cost-effective product that makes migration simple so they can have access to the things they need to grow their business.

Increase GMV: There are an estimated 12M-24M established online stores in the market today, and we’re capturing and converting very little of it.
Replatformers generate significantly more leads: Merchants who are making over $5,000/yearly, we saw a positive growth rate of 15% in leads in 2017 for replatformers, but only 0.8% growth for existing merchants.
Own the first mile: A merchant’s first few interactions with Shopify can make or break the experience, so we need to make it as seamless and enjoyable as possible.

Thanks for viewing some snippets of my work. If you wish to learn more, please reach out for detailed case studies.

📩 ivy.mukherjee92@gmail.com