Intuit Agent Chat

Context

Intuit operates four cornerstone brands — QuickBooks, TurboTax, Credit Karma, Mailchimp — serving 100M+ customers, with 600+ designers and 8,000+ developers building on a shared platform. GenUX is Intuit's AI agent development platform: the layer that delivers consistent, performant, scalable UX across every Intuit app and agentic experience. Agent Chat is the conversational surface that ships on top of it.

I led design as the principal IC — the lead designer on a cross-functional team of 15 web engineers, 10 mobile engineers, technical program management, PM, and four other designers — across two fiscal years and still shipping.

Problem

Intuit had no shared conversational-AI surface, so every domain team was rolling its own. The legacy assistive widget was losing adoption, and teams were rebuilding the same stack in parallel. Four root causes kept surfacing:

• Ownership constraints blocking domain workflow innovation
• Shallow help capabilities with weak domain responses
• Engineering trapped in maintenance instead of platform progress
• Rigid UI with no path to product-fit customization

Multiple teams were rushing to launch DFY agent experiences and independently building custom conversation stacks. The platform didn't have an answer, and the teams weren't willing to wait for one.

Approach

Co-facilitated workshops with 12+ teams and 40+ participants across business units. Three clear takeaways:

1. The company needed a single conversational AI / agentic platform — not another point solution.
2. Solving agentic workflows starts with better intent capture — open enough to explore, guided enough to act.
3. Scaling agentic experiences requires clear pattern guidelines, not just components.

The resulting vision was presented to CEO Staff at Tech Tuesday and scored unanimous 5's in a fist-of-five. Three pillars anchored it:

• No dead ends — every interaction has a next step
• End-to-end out of the box — usable on day one without bespoke build
• Extensible — domain teams can plug in their own UI without forking the widget

Solution

I designed and shipped a widget that's instantly themeable, highly customizable, and configurable — built once, deployed everywhere.

Themeable across every Intuit brand. One widget, tokenized for QuickBooks, TurboTax, and beyond.

Flexible layouts and persistent threads. The chat panel adapts from compact rail to responsive immersive view; threads keep multi-conversation state across sessions.

Capabilities shipped in v1 and v2 — themeable, flexible layouts, threads, agent status & reasoning, dynamic cards with renderer extensions, responsive panel, response actions, doc upload (PCI-compliant), 100% token coverage, and an Agent Typography Kit.

Mobile parity from day one. Web, iOS, and Android — not an afterthought.

In production

Agent Chat is the foundational widget powering every AI experience across Intuit. Two major brands launched in year one — with more in flight.

QuickBooks

Started with Project Clarity — a mission team embedded with the QuickBooks Business Intelligence org. Customers were exporting QB data into third-party AI tools because QuickBooks didn't support analysis natively. The QB Analytics Agent changed that: ask about your revenue, profit and loss, cash flow, and payroll directly in the product. Launched as Intuit Intelligence to 200k+ customers.

Early success unlocked rapid adoption across the full product. Agent Chat expanded into payroll, project management, and more — every major workflow in QuickBooks now has an agent surface built on the same widget.

TurboTax

Multiple agent use cases live in production: the Deductions & Credits Agent surfaces personalized opportunities during filing; the Explanations Agent answers “what does this mean?” for any line item; and the Digital Assistant guides customers through the full filing workflow. All powered by Agent Chat.

The harder problem — governance

Two audiences with opposing incentives — domain teams who own workflows and platform teams who own oversight. Domain teams will circumvent if shared patterns don't meet their needs; platform teams resist losing control to centralized solutions. A lot of the work was coordination, not design: building trust, defining ownership, and creating an extension model that didn't ask either side to give up what they cared about.

Impact

• 150 teams in end-to-end integration on the platform
• 58 agents live in production — 200%+ of FY26 adoption goal
• 3.8M monthly active users
• Live in QuickBooks and TurboTax
• 2.8M Figma component instantiations in the last year

How we got there: focus and betting big on a single shared surface; benchmarking against the industry-best for conversational AI; obsessive iteration with customers and partner teams.