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Jimmy Daugherty

Product leader with 20 years in product management and leadership experience.

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© 2026 Jimmy Daugherty. All rights reserved.

Practice / Generative AI

Building with AI, on purpose.

Leading Tapestry's Generative AI practice across Coach, Kate Spade, and Stuart Weitzman — focused on practical applications that delivered tangible business value while protecting brand integrity.

+15%
AOV lift
-35%
Resolution time
3
Brands unified
6
Step framework

What I've shipped

Products I've Built

Beyond leading AI inside the enterprise, I build and ship my own AI products.

botified

Service-as-software

A go-to-market platform for AI practitioners. The tagline is “We find the AI clients. You deliver the AI.”

The problem
Brilliant AI builders are great at building, not at selling. They live on referrals and feast-or-famine pipelines. The skills to build AI are not the skills to win business.
What I built
A productized version of a go-to-market agency, software doing the work a team would. A multi-tenant SaaS app with a client portal and internal admin, a lead-sourcing and multi-API enrichment pipeline, AI cold-opener and pitch generation, campaign automation that pushes to and syncs from Instantly, a RAG-powered AI inbox, and background worker infrastructure running it at scale.
Stack
Next.js 15, Supabase, Vercel AI (Claude), VPS workers, Stripe.

Service-as-software. The outcome of an agency, delivered by software you log into.

n8nwizard.ai

AI tool

An AI tool that turns plain-English descriptions into ready-to-use n8n automation workflows. The tagline is “Describe it. Paste it. Automate.”

The problem
n8n is powerful but has a steep learning curve, and building workflows by hand takes hours. Non-experts cannot easily translate business needs into working automations.
What I built
Natural-language to valid n8n JSON generation, iterative chat editing (upload an existing workflow and refine it by conversation), a searchable library of 2,346 example workflows and 7,966 feature configurations, plus versioning and subscriptions.
Stack
Next.js 15, Supabase, OpenRouter and the Vercel AI SDK, Stripe.

A focused AI tool, shipped fast.

Where it created value

Four fronts
01

AI-Enhanced Customer Experiences

Transforming how customers discover, decide, and return.

  • AI-powered recommendations that lifted AOV by 15%
  • Conversational shopping assistants that guide purchase decisions
  • Personalized post-purchase journeys driven by behavior
02

Operational Efficiency

Removing friction from the work behind the work.

  • Cut customer service resolution time by 35% with AI-assisted support
  • Automated product and marketing copy generation
  • Predictive inventory management to optimize stock levels
03

Strategic Decision Making

Turning messy data into a clear point of view.

  • Models that anticipate emerging fashion trends
  • Dashboards that surface action, not just numbers
  • Scenario planning tools to weigh strategic options
04

Innovation Acceleration

Compressing the distance from idea to prototype.

  • AI-powered design exploration for new products
  • Rapid prototyping workflows using generative AI
  • An internal AI lab to pressure-test emerging tech

The method

An implementation framework that survives contact with the enterprise

01

Value Identification

Start with clear business objectives and the specific problems AI is uniquely suited to solve.

02

Data Strategy

Assess data availability, quality, and the governance required to use it responsibly.

03

Capability Building

Develop internal expertise and partner with external specialists where it accelerates progress.

04

Pilot & Prove

Begin with high-impact, low-risk use cases that demonstrate measurable value quickly.

05

Scale & Integrate

Expand the pilots that work and weave them into core business processes.

06

Ethical Governance

Establish frameworks for responsible AI use, monitoring, and accountability over time.

“The most successful product leaders won't be replaced by AI — they'll be the ones who use it to amplify their teams and deliver exceptional customer value.”
Jimmy Daugherty

Where this is heading

The next decade

Understand

Deeper customer understanding

Sharper insight into needs and behaviors, enabling far more precise problem identification.

Experiment

Accelerated experimentation

Rapid hypothesis testing and dramatically faster iteration cycles.

Personalize

Personalization at scale

Truly individual product experiences tailored to each user's context.

Decide

Augmented decision-making

Pattern recognition across complex datasets that sharpens strategic calls.

Let's put AI to work on something that matters.

Discuss AI Opportunities