AI agents are fundamentally changing how teams operate — not by automating a few tasks, but by rethinking how work is planned, executed, and improved. As large language models evolve, agents are moving beyond content creation to take on complex, multi-step workflows grounded in real data and business intent.
In this Visibility Brief Deep Dive, Chris Brownlee, Head of Product at Yext, and Rebecca Colwell, SVP of Marketing, explore how AI agents are transforming marketing and product teams. Chris breaks down how agents differ from traditional automation, why data quality determines their effectiveness, and how organizations can move from productivity gains to meaningful business outcomes.
What You'll Learn
How AI agents differ from traditional automation
Unlike rules-based workflows, AI agents can understand intent, reason through ambiguity, and execute complex actions across systems. This flexibility allows teams to move faster without being constrained by rigid processes.
Why data is the foundation of effective agents
Agents are only as good as the data that grounds them. Without access to trusted, high-quality information, AI systems are prone to hallucination. Organizations with strong data foundations are best positioned to unlock real value from agents.
Where AI delivers value beyond task automation
While early AI use cases focused on saving time, the real impact comes from accelerating decision-making, prototyping, and iteration. Agents can synthesize feedback, surface insights, and help teams move from idea to validation faster than ever before.
Why many small agents outperform one "master" agent
Instead of relying on a single all-purpose agent, teams are finding success by deploying multiple specialized agents that work together. This approach reduces risk, improves accuracy, and mirrors how effective teams operate today.
How agents are changing product roadmaps and team structures
As capabilities evolve weekly, not yearly, long-term roadmaps are giving way to thematic goals and rapid iteration. This shift is blurring traditional role boundaries and reshaping how product, marketing, and engineering collaborate.
Why Watch
If you're navigating rapid change across marketing, product, or operations, this session offers a grounded look at how AI agents are actually being used and where they deliver the most value. You'll gain clarity on how to think about agents beyond hype, how to evaluate trust and data readiness, and how to help teams adapt without losing momentum.
This deep dive is especially relevant if you're:
Experimenting with AI agents and workflows
Rethinking product roadmaps in a fast-moving AI landscape
Looking to balance speed, trust, and human oversight
Why It Matters
AI agents aren't just changing how work gets done — they're changing how organizations think about roles, decision-making, and execution. Teams that treat agents as copilots, grounded in trusted data and guided by clear intent, can move faster without sacrificing quality.
This deep dive outlines why flexibility, strong data foundations, and iterative thinking are becoming essential — not optional — as AI continues to reshape the nature of work.
