Swiftask connects your Enedis Data-Connect data to AI agents to turn load curves into strategic recommendations.
Result:
Instantly identify savings opportunities and consumption anomalies without tedious manual analysis.
AI Agents
enedis data-connect
Connector enedis data-connect · Secure OAuth 2.0
Raw data from Enedis Data-Connect is valuable but difficult to interpret manually. Without advanced analytics, you miss abnormal consumption spikes or cost-reduction opportunities.
Main negative impacts:
Delayed anomaly detection
Anomalous consumption at night or on weekends is often only detected when the bill arrives, far too late to take action.
Analytic overload
Extracting and cross-referencing thousands of data points manually is time-consuming and error-prone for your teams.
Lack of strategic visibility
Without a consolidated and intelligent view, you cannot anticipate energy needs or adjust business processes effectively.
Swiftask automates load curve analysis. Our AI agents process your Enedis data in real-time, isolate key trends, and alert you as soon as an optimization opportunity is detected.
BEFORE / AFTER
Manual data tracking
Your teams download CSV files from the Enedis portal, import them into spreadsheets, attempt to create charts, and manually search for inconsistencies. This process is reactive rather than proactive.
Augmented analysis with Swiftask
The AI agent queries the Enedis Data-Connect connector directly. It analyzes load curves continuously, compares historical data, and sends you a summary report or a precise alert as soon as a drift is found.
1
STEP 1 : Enable Enedis connector
Connect your Enedis Data-Connect access to Swiftask in a few clicks via secure authentication.
2
STEP 2 : Configure analysis agent
Define your agent's goals: peak detection, annual comparison, or off-hours consumption analysis.
3
STEP 3 : Set alert thresholds
Configure the conditions that trigger a notification or an automatic action from your agent.
4
STEP 4 : Monitor and adjust
Use the Swiftask dashboard to visualize generated insights and refine analysis rules over time.
The AI analyzes seasonality, weekly consumption patterns, and charge trends to distinguish normal usage from deviations.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-enedis-data-connect@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Quickly detect unnecessary consumption to optimize your energy bills.
Identify faulty equipment through behavioral analysis of your load curves.
Delegate the tedious work of data analysis to a high-performance AI agent.
Base your strategic choices on precise reports generated automatically.
Maintain a clean, analyzed data history for your CSR reports.
Swiftask applies enterprise-grade security standards for your enedis data-connect automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Analysis time | Several days per month | Continuous real-time analysis |
| Anomaly detection | Reactive (billing) | Proactive (immediate) |
| Insight precision | Human-limited | AI-driven and exhaustive |
| Deployment | Complex IT project | Rapid no-code setup |
Instantly identify savings opportunities and consumption anomalies without tedious manual analysis.