Beyond the Chatbot: Engineering Reliable Multi-Agent Workflows in the Enterprise
Last week, I sat through a demo where a vendor showed off a ‘fully autonomous AI agent’ that could supposedly manage a global supply chain with just a natural language prompt. It was impressive, right up until someone asked what happens when the API for the shipping carrier returns a 503 error or an expired OAuth token. The demo fell apart because it wasn't built for the messiness of real enterprise systems. It was built for a happy path that doesn't exist in production. In real projects, we’re moving past the honeymoon phase of Retrieval-Augmented Generation (RAG). Most of my clients have figured out how to point an LLM at a vector database and get a summary. The actual challenge we’re facing for 2025 and 2026 is execution. We need systems that don’t just talk about data, but take actions—canceling orders, updating CRM records, or triggering CI/CD pipelines—across hybrid cloud environments without a human holding their hand for every step. We’re shifting toward what some c...