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Case Study • Narrative Architecture & Brand Storytelling

20+ Teams.
Peak AI chaos.

Building narrative architecture during a tech inflection point.

ChatGPT broke the internet. By mid-2023, every Cisco team had different AI messaging. I built the narrative architecture that unified them, translated complex capabilities into compelling stories, and created frameworks that scaled across the enterprise.

01 Discovery

Listened to everyone.

Started with an audit. Then a listening tour. AI wasn't new to Cisco. It was just scattered everywhere.

First thing, audit.

Two decades of AI work. Predictive networks. Security systems. Observability tools. Collaboration features. It was all there. Nobody was connecting it.

Then came the listening tour.

Spent three weeks talking to the people building this stuff. Silicon One engineers. Security architects. Data scientists. I stopped asking what the technology could do. Started asking what it made possible for customers.

Found the insight.

Nobody buys features. They buy what those features make possible. Not "AI-powered security" but actual protection against today's threats. Not "predictive networks" but systems that just work. The story wasn't about Cisco's AI capabilities. It was about what AI does for the people who rely on it.

02 Framework

Built one framework.

The strategic foundation that unified the company. Made the complex simple without losing what made it powerful.

The Framework
01
Core Positioning
"Cisco has the infrastructure to power AI, unmatched breadth and scale of data to feed it, and a portfolio optimized to secure it."
02
Philosophy
Responsible AI is non-negotiable. Ethics, privacy, sustainability embedded in everything.
03
Approach
Deep listening before deep learning. Customer needs first, technology second.
Sound Bites That Stuck

"When it comes to AI, a trusted business partner is needed as much as an algorithm."

"Grounded doesn't mean we're not groundbreaking."

"Responsible AI isn't a campaign, it's a commitment."

Origin Document AI Messaging Exploration • July 2023
Overview

Generative AI has sparked the world's imagination. It's the technology of the moment. It has made coding fun again and made college students rethink their majors.

ChatGPT made AI visible, tangible, and most importantly, accessible. AI went from this complicated thing for PhDs and data scientists to something everyone could play with and therefore understand its potential. Especially those in the boardrooms.

Cisco is well positioned to leverage this AI moment to benefit our customers and our own employees. We're in the sweet spot to be a leader in the AI for the Enterprise space.

Point of View

Generally speaking, there are five advanced AI capabilities: Human-AI Interaction, Decision-making, Motion, Creation, and the one that scares some, Sentience. All of these capabilities are amplifications of human attributes. Generative AI is just another form of AI as an amplifier, only on a scale we've never seen before.

There is no one formula that is AI, just as there are many additional methods of AI that are, or have the potential to be, just as groundbreaking. We see AI as more than the method used. It's about the problems it's helping to solve for our customers that human effort couldn't accomplish on its own.

Approach

While AI is not new to Cisco, Generative AI does raise novel issues. But it doesn't change our approach to AI: human-first.

Responsible AI is non-negotiable because responsible tech is a given for us. Always has been for Cisco. Ethics, privacy, sustainability. Just another layer of requirements of the stack. Mandatory, reviewed, and beyond reproach before anything is shipped.

At Cisco, deep listening comes before deep learning. Or machine learning. Or computer vision. AI for the Enterprise is first and foremost about customizing and adapting technology to the customers' specific needs and priorities.

Closing Thought

Epiphanies can be hidden in the most ordinary of intersections. AI can spot the patterns in places humans never even thought to look.

The future will be one of compounding intelligence.

03 Rollout

Used everywhere.

From internal doc to enterprise-wide adoption. PR, employee comms, CEO comms, analyst comms, external campaigns. Let's all say the same thing.

How It Shipped

GCC messaging document deployed enterprise-wide for all communications

cisco.com/ai external positioning and content strategy

AI Readiness Index thought leadership campaign with global research

Talk tracks for company-wide meetings and executive briefings

Spokesperson training and messaging for executives at Cisco Live

Government affairs talking points for policy discussions

Partners repeating exact language: "unmatched breadth and scale"

"When it comes to AI, a trusted business partner is needed as much as an algorithm."