Automate Enedis Data-Connect workflows with AI Agents

Enedis Data-Connect is a powerful API platform that unlocks access to France’s energy consumption and production data for service providers. But what if your team could analyze, share, and act on Enedis Data-Connect insights instantly, right from your everyday chat tools? By combining Enedis Data-Connect with AI agents powered by Runbear, teams can automate data retrieval, streamline analytics, and foster deeper collaboration—all from Slack, Microsoft Teams, or Discord. The result is smarter, faster, and more efficient energy management workflows.

About Enedis Data-Connect

Enedis Data-Connect is an API platform developed by Enedis, France's leading electricity distribution network manager. It enables energy service providers to access real-time and historical energy usage and production data—collected from Linky smart meters—once end users provide consent. Service providers use Enedis Data-Connect to build energy management tools, consumption tracking apps, and data-driven solutions for households, businesses, and municipalities. Its core features include secure API access, granular consumption/production data, and seamless integration with energy applications. Teams adopt Enedis Data-Connect to develop innovative energy services, optimize usage, and drive sustainability across the French electrical grid ecosystem. With its open, secure data model, Enedis Data-Connect is fast becoming the go-to resource for teams building the next generation of energy analytics and optimization software.

Use Cases in Practice

Let’s see exactly how teams unlock the full potential of Enedis Data-Connect when it’s powered by Runbear’s AI agent in their team chat. Imagine a utility analytics team receiving a daily Slack digest with energy usage highlights—no more logging into external dashboards. Or a project lead querying live historical consumption trends by simply messaging the AI agent, which returns instant insights without cumbersome spreadsheet exports. With scheduled KPI tracking, the team automatically receives weekly updates on peak load factors and deviations, helping them proactively address energy targets. Finally, the AI agent can analyze consumption patterns, sharing timely efficiency tips or flagging unusual spikes to the right channels. This collaborative, AI-driven approach ensures that all team members—not just technical specialists—have on-demand access to critical Enedis Data-Connect information, mirroring the convenience of instant Slack-native analytics and reporting or real-time Excel querying. By integrating Enedis Data-Connect with Runbear, teams break down silos, respond rapidly to energy data, and keep every stakeholder engaged and empowered.

Enedis Data-Connect vs Enedis Data-Connect + AI Agent: Key Differences

Integrating Enedis Data-Connect with Runbear transforms manual, siloed energy data management into dynamic, collaborative intelligence. Teams move from piecemeal data pulls to instant, chat-based energy insights and automation. AI agents centralize reporting, automate repetitive analyses, and empower all team members to interact with energy data conversationally—unlocking new levels of collaboration, speed, and data-driven decision-making.

Implementation Considerations

Teams implementing Enedis Data-Connect often face practical hurdles: setting up API authentication, maintaining data pipelines, and training non-technical members to access or interpret data. Change management is required to shift from legacy spreadsheets or manual exports to a more data-driven workflow. Security and data privacy are paramount; teams need to govern who can access sensitive energy data, ensuring permissions and regulatory compliance. Integration typically requires development resources, which increases initial costs and slows rollout. A robust cost-benefit analysis is important, balancing integration/maintenance overheads against the potential for improved workflows and insights. With Runbear, many of these challenges are mitigated—AI agents remove the technical barrier for end-users, centralize data access through team chat, and secure sensitive workflows by leveraging each platform’s permission controls.

Get Started Today

The fusion of Enedis Data-Connect and Runbear’s AI agent platform unlocks a new era of team-centric, automated energy data management. Teams no longer need to struggle with manual data pulls or complex reporting cycles—AI agents make energy insights accessible, collaborative, and actionable for everyone. By empowering your team to interact naturally with Enedis Data-Connect data from Slack, Microsoft Teams, or Discord, you drive smarter decisions, faster reactions, and better business outcomes. Ready to experience AI-powered energy management for your team? Get started with Enedis Data-Connect and Runbear today!