Bills nobody saw coming
AI prototypes, test agents and data queries keep running and keep charging. Without budgets and alerts, you find out when the invoice arrives.
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Damson Cloud webinars | 11:00 - 11:30 November 19th 2026
Why every organisation building AI on Google Cloud needs a foundation. Join our free 30-minute live webinar on controlling costs and security before you scale.
Meet your speakers
Account Manager at Damson Cloud
Cloud Solutions Architect
Why it matters
Google Cloud makes it easy to start building with AI. Without a foundation underneath, it’s just as easy for costs and risks to grow unseen.
AI prototypes, test agents and data queries keep running and keep charging. Without budgets and alerts, you find out when the invoice arrives.
Most Google AI tools run on Google Cloud behind the scenes. Teams start their own projects and billing accounts, and nobody has the full picture.
An AI agent with more access than it needs can expose data fast. Exposed API keys and default network settings make it worse.
A GCP Foundation sets up structure, access, security and cost controls once, so every new project starts secure and within budget.
Technology and finance leaders at organisations using, or planning to use, Gemini or other Google AI tools. That includes CTOs, CFOs, IT managers, and anyone responsible for cloud spend or risk. No deep technical knowledge needed.
A Cloud Foundation is the set of guardrails your Google Cloud should have from day one. It covers how projects are organised, who has access to what, how networks and security are set up, and how everything is monitored. It’s built once, so every new project, including your AI projects, starts secure, structured and ready to scale.
No. Most organisations we work with are already running projects when they come to us. We start with a Discovery to understand your current setup, then fix security gaps and tidy up what’s there before building the foundation. Nothing changes until you know what you have, so existing work isn’t disrupted.