BRYAN JAYNE

Product Design, UX Strategy, Systems & Leadership for Fortune 500 to AI Startups

(415) 710-309 | bryanjayne@gmail.com | LinkedIn


Elevating Complex Workflows with Scalable, AI-Driven UX

From GenAI-powered interactions to enterprise-grade platform tools, these three projects show how I simplify complexity and deliver intuitive solutions for data-heavy, multi-role experiences.

Whether aligning engineering and executive teams at Cisco or transforming user onboarding for a GenAI retail startup, I design with purpose—using deep user insight, scalable systems, and thoughtful interaction design to support real-world business and user needs.

  1. Cisco Enterprise GenAI Chatbot: Unified a fragmented AI experience into a scalable, intent-driven GenAI assistant—boosting usability and confidence across Cisco’s CX Cloud platform.

  2. Cisco Customer Lifecycle & Commerce Tools: Designed end-to-end enterprise UX for partner management, purchasing, and contract documentation—clarifying multi-role workflows and driving team alignment.

  3. Ask AI (GenAI Retail Startup): Created mobile and kiosk UX for a GenAI-powered retail assistant—enhancing first impressions, chat flows, and product clarity to accelerate adoption and multimillion-dollar growth.


CISCO ENTERPRISE GENAI CHATBOT

AI-Powered Support UX Across Enterprise SaaS Ecosystem



Applicable to roles that need:
AI UX, modular service design, enterprise platform thinking, and cross-functional alignment


Role: Principal Designer – GenAI design and strategy


Collaboration: AI engineering · Customer Support Teams · Product Leadership · Content Strategy · Design Leadership · CX Design Team · VP Stakeholders


Problem and Approach: Cisco’s CX Cloud is a SaaS platform that helps enterprise network managers realize the full value of their Cisco investments by guiding them to the right support, insights, and actions. The existing AI-powered chatbot was fragmented and underutilized, lacking a cohesive interaction model, enterprise-scale support, and the ability to take advantage of new GenAI capabilities.

I led the end-to-end UX strategy and design for the next generation of the GenAI CX chatbot. My first step was aligning stakeholders across product, engineering, and leadership to define what a truly holistic AI assistant could look like across the full CX Cloud ecosystem. I articulated a future-state vision and broke it into four focused design workstreams, each covering a distinct interaction layer or content scope.

From there, I developed a set of core design principles, mapped high-level interaction frameworks, and partnered with content leads to define how the chatbot should behave across different service tiers. I created scenario-specific design examples, interaction rules, and scalable UI components using Cisco’s enterprise design system. These not only showed how the chatbot would operate across use cases—but how it could deliver differentiated, high-value service experiences based on user intent and complexity.


Deliverables:

  • AI assistant interaction frameworks

  • Design principles + behavioral logic

  • Scenario-based UI and conversation models

  • Executive presentations and storytelling

  • Modular UI components for design system

  • Cross-team strategy documentation and phased roadmap

Impact:

  • Chatbot UX strategy approved by VP to guide platform-wide expansion

  • Interaction model used to align AI product roadmap across teams

  • Specific features shipped to production via sprint-based delivery

  • Unified fragmented chatbot into a strategic support assistant

Reflection & Why It Mattered: This work turned a disconnected chatbot into a scalable, enterprise-grade AI assistant by aligning design, product, and engineering around a shared interaction model. By leading with strategy, modularity, and behavioral clarity, I helped lay the foundation for how Cisco’s AI support will scale with future technology capabilities.


Full Case Study: If you’d like to talk or see a full case study please email me at bryanjayne@gmail.com.


CISCO CUSTOMER LIFECYCLE & COMMERCE TOOLS

Experience Strategy and Design for B2B Partner Ecosystem & Sales Fulfillment



Applicable to roles that need:
Enterprise UX, partner research, workflow design, AI-integrated systems, and cross-org alignment


Role: UX Strategy and Design Lead — design direction, stakeholder alignment, team mentorship, worked closely with research partner


Collaboration: Cross-functional team leaders from 11 groups · Engineering leads · Design & research team · Executive stakeholders


Problem and Approach: Cisco’s $50B commerce ecosystem spans tools used by partners, sellers, and fulfillment teams—but when I joined the initiative to reimagine the experience, there were no defined users, no agreed-upon goals, and no validated direction. I began by building relationships across product and business stakeholders to surface pain points and understand internal perspectives.

I then co-led partner-facing research, including interviews and concept testing with Cisco’s 2-tier partners. This uncovered core Jobs-To-Be-Done and highlighted critical gaps between internal assumptions and how partners actually conducted business. To move the work forward, I prioritized a high-impact user type and created future-state journey flows, clickable wireframes, and prototypes that showed how redesigned workflows could both improve efficiency and directly support partner profitability. As momentum grew, the work expanded to cover additional partner tiers and even consumer-facing use cases.

To gain early traction, I developed a narrative walkthrough illustrating how a Cisco partner could serve their customer using the redesigned tools—annotated with UX gains and strategic business impact. Despite the complexity embedded in many steps, this focused story, design strategy, and clear prototypes aligned stakeholders and earned SVP-level approval, setting the stage for continued build-out across the platform.

Deliverables:

  • Internal + partner user research (in close partnership with 3 researchers)

  • Strategy workshops with cross-functional stakeholders

  • JTBD (jobs to be done) synthesis and user prioritization

  • Executive-level narrative presentations

  • Annotated wireframes + working prototypes

  • Future-state journey mapping

  • Design strategy aligned to roadmap

  • Designs from wireframes and flows to hi-fidelity prototypes

  • Direction for 8 designers working in tandem with me

Impact:

  • Design strategy and designs approved by VP and SVP leadership

  • Prototypes helped visualize business impact and usability gains

  • Provided the roadmap leading from the 0-1 discovery through extended development

  • Designs credited with aligning user needs to partner profitability


Reflection & Why It Mattered:
This initiative successfully transformed a complex commerce ecosystem into a more user-centric and profitable experience. By aligning design with product and engineering around a shared understanding of partner needs, and by leading with a clear strategy and tangible prototypes, I helped lay the groundwork for Cisco's future commerce platform.


Full Case Study: If you’d like to talk or see a full case study please email me at bryanjayne@gmail.com.


ASK AI (GEN AI STARTUP)

GEN AI UX Across Mobile, Kiosk, and Retail Journeys



Applicable to roles that need:
AI UX, cross-platform experience strategy and product design, intent-based interaction models, and conversational interfaces, systems thinking and design systems.


Role: Principal Designer – GenAI flows, multi-surface design, and workshop facilitation


Collaboration: Founders · GenAI engineers · Product leadership


Problem and Approach: An interactive retail experience for kiosks and mobile was struggling: customers left within 10-20 seconds, and the team didn't know why.

I led research, focusing on the first few seconds and initial tasks. I discovered users were confused by three disconnected modes: an animated avatar, a chat UI, and video explainers. They didn't understand the assistant's value or how the parts worked together.

Although the team initially believed the problem was visual, my research revealed it was structural—users lacked a clear mental model of how the assistant worked. I created personas based on retail mindsets and introduced an intent-capture model after the avatar’s intro, allowing users to select a goal (e.g., “help me decide”). This clarified the assistant’s purpose and guided them into the appropriate experience. The overall solution unified all three interaction types into a seamless, user-driven flow.


Deliverables:

  • User research & synthesis

  • Cross-functional strategy workshops

  • Intent-capture model & UX framework

  • Product UX & UI redesign

  • Cross-platform design system


Impact:

  • Designs addressed issues with in users’ first impression and core interactions with the product that led to drop-off

  • Unified experience across kiosk, mobile, and video explainers with product demos

  • Work was lauded by leadership as directly contributing to multi-million-dollar retail contracts


Reflection & Why It Mattered:
By designing for user intent instead of passive flow, I helped turn a fragmented GenAI assistant into a purposeful, user-led experience. This reframed the product and made it scalable across new retail partners, product offerings and retail mindsets.


Full Case Study:
If you’d like to talk or see a full case study please email me at bryanjayne@gmail.com.