Over the past two years, artificial intelligence has dominated the technology landscape. From conversational AI to assisted coding and do-it-yourself analytics, tools like ChatGPT, Claude, and agentic coding environments like Cursor are reshaping how we interact with software. Every company is evaluating how this revolution can improve operations.

But here is the reality of the renewable energy sector: AI alone cannot run your business.

The Gap Between AI and Execution

AI is an incredibly powerful capability. It can summarize complex documents, write scripts, and identify patterns at lightning speed. However, an AI model inherently lacks domain-specific physics, real-world operational knowledge, and the rigorous data foundations required to manage complex energy assets and portfolio.

You cannot simply plug a large language model into raw, noisy power and energy data and expect it to effectively dispatch a technician to a faulty inverter or optimize dynamic battery storage controls. Organizations still desperately need powerful, purpose-built tools like enSights to do the heavy lifting. Before AI can be useful, data must be centralized from disparate hardware and software sources. It must be cleaned and validated.

You need powerful, industry-specific engines for precise energy and power calculations. You need reliable financial and income tracking over time. You need a platform that can actually open support calls, track field technicians, and provide an intelligent, compliant Energy Management System (EMS) for PV, storage, grid, and load orchestration.

That is precisely where enSights.ai excels, combining clean and accurate data with best in class tools to manage your business and AI models and agents that handle the heavy lifting for you. 

The Perfect Synergy: enSights.ai + Model Context Protocol (MCP)

This is where the magic happens: combining the robust, validated, and structured business context of enSights with the flexible intelligence of AI. To bridge this gap, enSights is introducing its new Model Context Protocol (MCP) integration.

Our new MCP connectors allow industry-leading AI tools, like Claude, ChatGPT, n8n, Cursor and more, to communicate directly and securely with your trusted enSights data. AI is no longer guessing based on raw data, it is making decisions backed by the enSights engine, which understands your agreements, your site behavior, your storage use case, your equipment history, and your financial obligations.

Welcome to the Era of the Energy Creator

By fusing AI via MCP with the enSights agentic Energy Business Management platform, we are giving our users the ultimate superpower: the ability to become a Creator. You are no longer restricted to rigid dashboards. You can use DIY (do it yourself) analytics and natural language to build exactly what your specific user needs.

With full access to your fleet data, you can seamlessly create:

• Custom Reports & Forms: Instantly generate Losses reports, QBRs, ESG reports, site diagnostics, and periodic PPA updates.

• Dynamic Dashboards: Build Digital Twin dashboards, dedicated Fleet/Site Health views, and specialized site use cases such as community solar boards.

• Actionable Insights & Alerts: Set up custom PPA trackers, automatically schedule maintenance or cleaning visits, and directly open service calls in your CMMS in enSights or your own CRM.

The industry doesn't just need more AI. It needs AI grounded in validated energy data and operational truth. By leveraging enSights as your core data engine and unlocking its potential through MCP, you get the absolute best of both worlds. Don't just monitor and react. Create, automate, and build the future of your energy business.