Put AI to Strategic Use

B2B marketers are being asked to drive revenue, yet most have never been trained to sell. This session explores how and why to use an AI as a sales assistant.

Brooke Sellas will share the thinking behind the bot she built, while Lindsay Tjepkema demonstrates how she uses it as a real-time sales coach to clarify offers, handle objections, and accelerate decision-making.

Through a live case example—including closing a $5,000/month client within 48 hours—attendees will learn how to use AI to drive revenue, not just activity.

You'll learn how to:

• Set up your own sales bot (custom GPT)
• Leverage your sales bot to support sales efforts (as a marketer)
• Use AI for revenue-driven activities versus content-driven activities

Say goodbye to Blank Page Syndrome. AI can generate endless content, but most marketers are still stuck wondering what to say, how to stay consistent, and how to avoid sounding like everyone else. With Canva's newest AI-powered features, creating content is faster than ever. But speed without strategy still leads to forgettable marketing.

In this practical session, you'll learn how to build a repeatable workflow that takes you from idea → draft → design → publish in less time, while protecting your brand voice. You'll discover how to use Canva's latest AI tools alongside the Brand Voice Builder to brainstorm smarter, create polished content faster, and turn one idea into multiple high-quality posts.

Whether you're a solo marketer or part of a busy team, you'll leave with a system you can start using immediately.

You'll leave knowing how to:

• Build your brand voice guidelines with the Brand Voice Builder, so AI-generated content sounds consistent, clear, and authentically you
• Use Canva's latest AI tools to move from idea → draft → design → publish faster
• Turn one strong idea into multiple on-brand social posts without starting from scratch each time

Forget having AI create content for you. Use it to tap into the areas where you aren't the expert. With basic LLMs and Google Workspace tools you can automate the manual work that's slowing your marketing team down—and you don't need a developer, a budget request, or an expensive new tool.

This session will show marketers operating at even a basic technical level how to use inexpensive LLM access and the Google tools already in your stack to turn repetitive workflows into systems that run themselves.

Phoenix will show you a real example from start to finish, plus where to start with your own.

You'll leave knowing how to:

• Spot the manual, repeatable tasks in your workflow that are the best candidates for automation
• Use AI as a thought partner to map out a workflow before building anything
• Connect everyday Google tools (like Forms, Docs, Gmail, and Sheets) into an automated pipeline
• Take a first step that's small enough to finish in an afternoon, not a sprint

AI promises to transform marketing, but most B2B marketers are using it to write content faster instead of to think more clearly. This session flips the script.

We'll go through a practical, end-to-end workflow for using AI to power your marketing strategy—from voice-of-customer research to buying-committee mapping to campaign adaptation.

No theoretical tips. You'll see real tools, real prompts, and a repeatable process you can run right away. Ideal for demand gen leaders, content strategists, and marketing ops professionals.

You'll leave knowing how to:

• Run an AI-powered research workflow using voice-of-customer data to uncover buyer language, surface messaging gaps, and identify persona-specific angles
• Build a strategy framework that maps your internal data to buying committee roles, messaging priorities, and campaign planning
• Identify and fill content gaps using AI as an audit tool, so your next campaign investment is driven by strategy, not guesswork

Marketers often get stuck between a strong idea and the resources needed to build it. You know what you want to launch, but engineering time and budget don't always line up.

"Vibe coding" closes that gap. You describe what you want in plain English, and AI handles the build.

In this session, you'll see that process in action. We'll go from a raw idea to a working Chrome extension using Google AI Studio—built live, step by step. The example: a tool that analyzes competitor websites and surfaces insights marketers can actually use.

You'll leave knowing how to:

• Create software using plain English. Move from syntax to intent. Write clear prompts that translate directly into working tools—no coding background required.
• Go from raw idea to live product in minutes. Follow a live build. See how quickly an idea turns into something you can install and use.
• Use "Mini-PRDs" to get exactly what you want. Apply the VIBE framework to structure prompts that produce useful outputs instead of generic results.

What if you could hand off tedious weekly tasks to software that completes them without constant supervision or enterprise budgets?

This session provides a practical framework for building, deploying, and delegating work to AI agents that operate autonomously. Not chatbots needing babysitting—actual agents that work like a travel agent, taking requirements and delivering results independently.

If you're supervising the machine, you're not using an agent. We'll map the agentic landscape as it stands today, from low-tech tools like Claude Cowork through advanced tools like Hermes Agent.

You'll leave knowing:

• A clear definition of what an agent actually is—and the critical test to know if you're using one (hint: if you're babysitting the machine, it's not an agent)
• A practical roadmap of the five levels of AI enablement, so you know exactly where to start based on your current abilities
• A walkthrough of how to use Claude Cowork or similar platforms (OpenAI Codex, Google Antigravity, Microsoft Github Copilot, OpenWork, etc.) to see an agentic build of an email marketing campaign from start to finish