BY CHOICE, not by chance
I am writing this from thousands of feet above, on my way to Seattle for Confluent’s Global Kick Off 2026.
It’s been three months since I joined. Looking back, leaving my previous role wasn’t easy. I was comfortable. I knew Azure like the back of my hand. Moving here meant leaving that safety net for a completely new technology stack. I have always loved technology, and I learned everything put in front of me. But the biggest change isn’t just the tech—it’s how I explain my job.
We frequently ask questions to gather requirements and provide our designs and solutions. Many organizations standardize their questions for consistency among teams. Can chatbots handle these questions? Yes, AI services can be utilized to make decisions and trigger DevOps pipelines to deploy the desired design or service.
By using Infrastructure as Code (IAC), we can quickly deploy design templates using AI to assist in choosing the appropriate design. This allows customers to focus on workload migration instead of landing zone design. Although, not every customer is the same, for example, a secure Azure VNet hub and spoke design can be deployed initially and improved upon while testing non-critical workloads in the cloud. We can drive move from design workshop to design selection workshop where you are helping the customers to pick up one of best design available.
Another solution is deploying services on an existing subscription, where customers can quickly deploy VMs or PaaS services by answering a few questions posed by a chatbot, without waiting for a human response. This speeds up the deployment process and increases customer satisfaction.
In conclusion, by utilizing AI and chatbots, customers can avoid creating tickets and waiting for support, as they can immediately provision resources by answering questions and confirming with AI suggestions.
What do you think?
anoop.blog 