With the CloudGeometry AI Adoption Framework, we deliver outcomes — automated workflows, modernized systems, and measurable ROI. Built on proven Open Source and Enterprise-Ready technologies, you get the best of both worlds: instant AI innovation without lock-in, and long-term industry leadership without compromise.
The first step in AI adoption is understanding what’s possible — how today’s technologies can streamline workflows, reduce manual effort, and open new opportunities for your business.
The result: You leave with clarity on AI’s potential and the confidence to move forward with a shared vision.
The first step toward effective automation is taking a holistic view of your business processes — both internal and customer-facing — to uncover where AI can deliver the fastest and most sustainable impact.
The result: Quick automation wins and a clear level of effort to achieve full-featured automation across the organization.
The quality of your AI will only be as high as the quality of your data. Ensuring that your data and cloud infrastructure are ready is essential for reliable, scalable, and cost-effective AI adoption.
The result: A clear remediation roadmap that strengthens data foundations, optimizes infrastructure, and prepares your organization for enterprise-scale AI adoption.
We evolved from Cloud and Data specialists into AI leaders, maintaining Advanced Consulting Partner status with the industry leaders like AWS, Azure, Databricks, and adopting emerging AI Powered technologies like Claritype and Control Plane.
We stick to your existing technology stack and extend it with well-integrated Open Source and commercial solutions — tailored to your goals and budgets, avoiding lock-in, and enabling faster GTM.
The result: A solid AI stack that supports continuous process automation. By reviewing technology choices, we gain the insights needed to evaluate cloud, data, and AI agent platform efforts, configure an AI-powered SDLC for rapid prototyping and next-day deployment, and define your business automation roadmap milestones with confidence.
Now that the executive team is educated, use cases are prioritized, and we have a clear view of cloud, data foundations, and enabling technologies, we can confidently build the AI strategy and lay down a short- and mid-term roadmap.
The result: An AI strategy and phased roadmap that balances quick validation (MVP agents) with governance, ROI visibility, and a structured path to replace outdated processes — giving executives confidence that AI adoption is both achievable and value-driven.
Building on the high-level requirements prepared in the previous stages, we begin AI agent & application development using the CloudGeometry AI-Powered SDLC process.
The result: Robust AI agents & applications that evolve from prototypes into enterprise-ready solutions — safely tested in staging environments and prepared for smooth production deployment.
Once agents & applications are hardened, we move to secure deployment in your environment and enable your teams to operate and extend them with confidence.
The result: Secure, compliant AI agents deployed in your infrastructure — supported by enabled teams and human-in-the-loop controls to ensure responsible adoption from day one.
Once deployed, AI systems require ongoing monitoring and iteration to stay reliable, compliant, and aligned with business needs. We embed continuous improvement practices into your AI operations.
The result: Continuous improvements that optimize business use cases and enable the adoption of new AI solutions and optimized model versions — keeping your AI systems competitive and future-ready.
“Every day there are dozens of new AI products coming to market. In our weekly committee meetings we review and evaluate new technologies; CloudGeometry clients and partners benefit from this up-to-date knowledge.”
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