Every Traveler Needs to Be Your Only Traveler
At Digital Travel Connect 2026, Aampe’s Chief Scientist & Co-Founder, Schaun Wheeler, took to the stage to focus on a simple idea with major implications for travel brands: Every traveler needs to feel like your only traveler. That is a higher bar than just “personalization” as the industry has traditionally defined it. It’s not about […]
Beyond Guesswork: How Agentic AI Is Changing Marketing Decisioning
Beyond Guesswork, How Agentic AI Is Changing Marketing Decisioning In Aampe’s recently sponsored CommerceNext webinar, Aampe’s CTO & Co-Founder, Sami Abboud, sat down with Kristen Brophy of ThredUP and Justin Emig of Artisant Lane Furniture to discuss a question many marketing teams are now facing: when does a system that seems to be working stop […]
Reward Functions: A Clearer Way to Define Success in Customer Engagement
AI now handles more decision-making in customer engagement than ever before – determining what message to send, when to send it, and which users are most likely to respond. But there is a limit to how effective any optimization system can be if success is defined too broadly. For years, most engagement systems have relied […]
From Rules to Reasoning: How Marketers Can Stop Managing Campaigns and Start Building an AI-Driven Engagement System
At the CMO Summit in Silicon Valley on April 14, Aampe’s Head of Solutions Strategy, Zach Dorner , took the stage to make a simple but important point: most teams are not struggling because they lack AI tools. They are struggling because they are trying to bolt those tools onto infrastructure built for a different […]
Thompson Sampling: Why the Simplest Adaptive Algorithm Outlearns Rules, Campaigns, and A/B Tests
Rajat Goyal is an engineering leader at Aampe, where he helps build the adaptive decisioning systems behind Aampe’s AI agents. His work focuses on how software can learn from user behavior in real time and make increasingly personalized decisions across channels, messages, timing, and product experiences. Thompson Sampling: Why the Simplest Adaptive Algorithm Outlearns Rules, […]
Most AI Optimization Fails Before the Model Even Runs
AI optimization has improved how customer engagement programs operate. It can test more combinations, react faster than manual workflows, and continuously adapt message selection based on user behavior. That part is real. But there is also a hard truth hiding underneath much of the excitement around AI decisioning: Many optimization systems fail long before the […]
Sweating the small stuff with Patches
The problem Most product teams have a version of this problem. You care about the product feeling polished: the button that’s a few pixels off, the empty state that doesn’t explain itself, the bit of copy that reads awkwardly. But none of that work ever quite makes it to the top of the list. It’s […]
Why We Moved 600+ Airflow Workflows from Cloud Composer to Astronomer
Infrastructure Friction as a Signal:Why We Moved 600+ Airflow Workflows from Cloud Composer to Astronomer Divyang Prateek Pandey is a founding engineer at Aampe, where he architects the systems behind the company’s adaptive AI agents and leads key strategic infrastructure initiatives. He owns the data pipelines, orchestration layer, and core architectural decisions that allow Aampe’s […]
Content Is the Unit of Personalization
Most personalization still runs on the same basic move: figure out who someone is, then decide what to send them. Better segments, better timing, a model that guesses who’s most likely to click. The tooling has gotten more sophisticated. The underlying question hasn’t changed in twenty years, and it’s the wrong question. The right one […]
Event Scoring for AI Decisioning Agents: Signals, Guardrails, and Goals
Someone glancing at their watch mid-conversation is a small tell, easy to miss, easy to talk past. Someone recoiling when you say the wrong thing is not. A good conversationalist reads the difference and adjusts accordingly. Most customer engagement software never gets that chance, because it’s built to watch for exactly one thing, a purchase, […]