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.
Data complexity hinders your energy performance
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:
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
What changes with Swiftask
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.
4 steps to automate your energy monitoring
STEP 1 : Enable Enedis connector
Connect your Enedis Data-Connect access to Swiftask in a few clicks via secure authentication.
STEP 2 : Configure analysis agent
Define your agent's goals: peak detection, annual comparison, or off-hours consumption analysis.
STEP 3 : Set alert thresholds
Configure the conditions that trigger a notification or an automatic action from your agent.
STEP 4 : Monitor and adjust
Use the Swiftask dashboard to visualize generated insights and refine analysis rules over time.
Energy data analysis capabilities
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.
Benefits for your energy management
1. Cost reduction
Quickly detect unnecessary consumption to optimize your energy bills.
2. Predictive maintenance
Identify faulty equipment through behavioral analysis of your load curves.
3. Operational time savings
Delegate the tedious work of data analysis to a high-performance AI agent.
4. Data-driven decisions
Base your strategic choices on precise reports generated automatically.
5. Simplified compliance
Maintain a clean, analyzed data history for your CSR reports.
Enedis data security
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
Impact on your energy efficiency
| 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 |
Take action with enedis data-connect
Instantly identify savings opportunities and consumption anomalies without tedious manual analysis.