Automated Data Gathering for Renewable Energy Firms With RAG & Agentic Workflows
92% of enterprises call AI “strategic.” But most of today’s systems? They just react. The real leap is agents that can reason, adapt, and pursue goals and still know when to hand things back to a human.
Think coding assistants that follow long-term logic. Or supply chain agents that flag a disruption before it happens. That’s intent-driven AI. They:
- Reason, not just respond - Adapt to dynamic conditions - Pursue goals, not just complete tasks - Combine tools and memory to deliver meaningful outcomes - Know when to bring in a human
If your AI still waits for prompts, it may be time to redefine what autonomy should look like. If you're still building around prompts, you should check out this case study - https://rebrand.ly/agentic-tumb - on how RAGs, LLMs and agentic workflows enhance intelligent data extraction.
