Perspectives
Quantum Metric and Google Cloud deepen collaboration to bring Felix AI Agentic to Gemini Enterprise.
By Mario Ciabarra
Oct 9, 2025

7 min read
Typical Monday morning. You’re trying to get something simple done at work—like filing a vacation request or resolving a customer issue—but the information you need lives across five different systems. You’re jumping between Salesforce, call center tickets, analytics dashboards, maybe even a mobile app, just to piece together a single answer.
For years, this has been the reality for employees at every level of an organization. Even as we’ve collected more data and built more tools, the experience of using that data hasn’t caught up. It’s still slow. It’s still fragmented. And it still puts too much of the burden on people to connect the dots.
That’s what led us to build our agentic solution, Felix AI Agentic in Gemini Enterprise. Felix is an intelligent analyst, designed to help every team across an organization quickly uncover the “why” behind customer behavior and take meaningful action to improve the digital experience.
To deliver this capability, we needed a way to get Felix into the hands of enterprise teams. We needed a partner that would be secure, scalable, and open enough to grow with our vision. After careful consideration, we chose Gemini Enterprise, Google’s advanced agentic platform that brings the best of Google AI to every employee, for every workflow..
Here’s why.
3 key criteria that led us to Gemini Enterprise.
When we set out to build Quantum Metric’s agentic solution, we knew the platform we chose would shape everything from security and scalability to how easily customers could adopt it. After looking closely at several options, three factors stood out as essential:
1. Trust and enterprise readiness.
For enterprise customers, data trust isn’t optional. It’s the foundation. Many of our largest retail and financial customers have told us they won’t put sensitive data in platforms they don’t fully trust. Google Cloud has earned that trust with banks, governments, and global brands, thanks to enterprise-grade privacy, security, and compliance. That was a major differentiator for us.
2. Technical capability in handling real-world complexity.
Enterprise use cases aren’t simple. Most AI systems today struggle to maintain context across that level of complexity, especially when conversations span multiple steps or systems. Many large language models fall short when handling these ongoing, multi-step conversations. They can manage a single question well, but lose track when follow-up questions build on previous ones. Google’s Gemini models are different. They lead the field in understanding and maintaining large context windows, which means they can keep track of a complex dialogue over time and respond accurately as the conversation evolves. This prevents the frustrating experience of interacting with “dumb” agents that can only answer very narrow, disconnected questions.
3. Openness and flexibility.
Gemini Enterprise uses Google’s Agent-to-Agent (A2A) protocol, which creates a shared language for how different agents communicate within the Google ecosystem. While it’s still early, we see A2A as a strong foundation for the future of connected enterprise agents. It gives us the flexibility to build solutions like Felix AI that can integrate smoothly with other Google-based agents and evolve alongside the broader ecosystem.
Choosing a platform that covers these factors for Felix AI to not only deliver value today, but also keep the pace with where the ecosystem is headed next.
Expanding Felix AI agentic with Gemini Enterprise.
That is why we are making our Felix AI Agentic available through Gemini Enterprise. Felix acts as a 24/7 digital analyst, turning fragmented customer data into clear answers and next steps for every employee, right inside Gemini Enterprise.
Let me paint a picture:
A digital operations manager at a leading airline turned to Gemini Enterprise with a pressing question: “Why are upgrade purchases down on today’s flights to Chicago?” Felix Agentic AI instantly analyzed Quantum Metric’s detailed behavioral data, surfacing the “Quantified Why”: customers attempting to purchase upgrades were encountering repeated errors when selecting seats in the mobile app. The Felix agent response revealed a 60% increase in abandonment on the upgrade step, representing nearly $1.5M in lost ancillary revenue for the day.
To enrich the context, Felix pulled in an additional external data point—live weather reports showing heavy storms around Chicago. By correlating this with Quantum Metric’s insights, Felix highlighted that disrupted travelers were especially motivated to purchase upgrades to book available seats, magnifying the revenue impact of the app issue. The operations manager asked, “What’s the next best action?” Felix generated a ready-to-execute Jira ticket with detailed evidence for engineering, while simultaneously preparing a proactive message flow for loyalty customers through the airline’s CRM. Within hours, the error was resolved, upgrade conversions rebounded, and the airline salvaged both revenue and customer goodwill.
With Gemini Enterprise, we’ve positioned Felix, our customers, and our partners to take advantage of this ecosystem shift as it unfolds.
Looking ahead.
By combining Quantum Metric’s deep expertise in digital experience analytics with the Gemini Enterprise platform, we’re making it easier than ever for teams to go from questions to answers, and from insight to action, in seconds.
We believe this is just the beginning of what’s possible when agentic solutions are thoughtfully designed and seamlessly delivered. If you’d like to keep updated on this offer and explore how it could fit into your organization, visit our Felix AI Agentic listing on the Google Cloud Marketplace.
"Gemini Enterprise brings the latest advancements in Google AI to every workflow and employee,” said Dai Vu, Managing Director, Marketplace & ISV GTM Programs at Google Cloud. “By making their AI agent available through Gemini Enterprise, Quantum Metrics is giving customers powerful new capabilities to accelerate innovation and achieve their transformation goals.”
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