Episode Details

What’s up everyone, today we have the pleasure of sitting down with Olga Andrienko, Former VP of Marketing Ops at Semrush.
 

• (00:00) - Intro
• (01:24) - In This Episode
• (03:55) - How AI Agents Reshape Marketing Ops Roles
• (08:53) - How To Beat AI Imposter Syndrome And Start Using Custom GPTs
• (13:28) - How AI Content Agents Generate Drafts Using Internal Context
• (24:29) - How to Use a Risk and Reward Grid to Prioritize AI Projects
• (33:19) - How To Use Google Workspace To Skip AI Vendor Approvals
• (40:00) - How To Decide Which AI Agent to Use
• (46:44) - How To Build an AI-First Reflex in Marketing Ops
• (51:59) - AI’s Endgame: Play-to-Earn and Mandatory Human Quotas
• (01:03:58) - What Happens When You Optimize Your Body Like a Martech Stack

Summary: Olga thought she was ahead of the AI curve, but a weekend course on autonomous systems showed her she was thinking too small. She pitched a shared internal AI stack at Semrush, built systems off APIs, skipped procurement by using already-approved tools, and tracked hours saved instead of promising vague ROI. She started with the work she already knew, made it faster, and used that time to build better systems. Now she’s looking ahead, watching work blur into participation, prepping for human quotas, and making sure ops teams aren’t caught off guard while the rest of the company is still testing prompts.

About Olga

Olga Andrienko spent nearly 12 years at Semrush, where she helped build one of the strongest B2B marketing brands in tech. She started by leading social media, then expanded into global marketing, eventually becoming VP of Brand and later VP of Marketing Operations. She helped guide the company through its IPO, launched brand campaigns that drove massive reach, and scaled AI systems that saved her teams hundreds of hours.

Most recently, she built out a marketing and AI ops function from scratch, automating reporting, content feedback, and influencer analytics across the org. Recently, Olga announced she was leaving Semrush to go out on her own. She’s now building a marketing SaaS product while advising companies on how to use AI agents to rethink marketing operations from the inside out.

How AI Agents Reshape Marketing Ops Roles

Olga had already logged countless hours with Claude and ChatGPT. She was building chatbots, fine-tuning prompts, and staying sharp on every update. Then she joined a weekend course on agent-based AI. At first, it felt like overkill. By the end of day two, she had completely changed direction. That course forced her to realize she had been spending time in the shallow end. Agent AI wasn’t just a smarter assistant. It was a structural overhaul. It changed what could be automated and who was needed to do it.

Agent AI builds systems instead of just responding to inputs. Olga described a clean divide between tools that help you finish tasks faster and agents that actually run the tasks for you.

How agent AI differs from task-level tools:
Traditional tools require manual input for each use
Agent systems operate autonomously and initiate actions
Tools accelerate individual work
Agents orchestrate end-to-end processes
Tools help you move faster
Agents help you step away entirely

She saw use cases stacking up that didn’t fit inside marketing’s current playbook. Systems could now operate without manual checkpoints. Processes that once relied on operators could be built into fully autonomous loops.

“I went into panic mode. Even with our tech stack at Semrush, I realized we were behind. Every company is behind.”

The realization came with a cost model. Internal adoption of Claude and ChatGPT was rising fast. Olga noticed growing subscription bills across teams, with everyone spinning up individual account