AI Agents
Your 24/7 energy operations team
Transform operations from manual, time-consuming, error-prone processes into intelligent, autonomous workflows.
The Automation Challenge
The Challenge
Energy and commodity trading operations involve countless repetitive tasks that must be executed consistently, on schedule, and without error:
- Daily curve updates when settlement data publishes
- Validation checks ensuring data completeness and quality
- Regular reports distributed to traders, risk managers, and executives
- Monitoring for exceptional market moves requiring immediate attention
- Routine calculations—P&L, risk metrics, portfolio valuations
- Data synchronization between internal systems
- Scheduled exports to downstream applications
Traditionally, these tasks require either manual execution (time-consuming, error-prone, dependent on specific people) or custom automation scripts (expensive to build, brittle, requiring ongoing maintenance). Your operations team spends more time babysitting workflows than solving genuine problems.
When someone goes on vacation or leaves the organization, critical processes break. When market conditions change, rigid scripts fail. When new requirements emerge, development backlogs delay implementation for weeks or months.
Our Solution
OpenDataDSL's AI Agents transform routine workflows from brittle, manual processes into intelligent, autonomous operations.
Unlike traditional scheduled scripts that blindly execute predefined steps, AI Agents understand context, adapt to changing conditions, make decisions, and handle exceptions—all while working autonomously 24/7.
Think of AI Agents as tireless team members who never sleep, never make mistakes, and improve continuously based on your feedback and changing requirements.
AI Agents: Automation That Thinks
Key Benefits
Enable your organization to scale efficiently, operate continuously, and redirect human expertise from routine execution to strategic decision-making.
24/7 Autonomous Operations Without Manual Intervention
Workflows run continuously without human supervision.
AI Agents execute daily curve updates, data quality monitoring, portfolio valuations, and system integrations automatically on schedule or triggered by events—evenings, weekends, holidays. Your operations continue flawlessly while your team focuses on strategic work during business hours. No more manual task lists, no coverage gaps, no weekend calls to handle routine processes.
Intelligent Decision-Making, Not Rigid Scripts
Agents adapt to changing conditions and handle exceptions intelligently.
Unlike traditional scheduled jobs that blindly execute or fail, AI Agents understand context—if settlement data typically arrives at 5pm but occasionally comes at 5:15pm, agents wait appropriately before alerting. They recognize patterns, make contextual decisions about retries vs. escalation, and validate results before downstream impacts occur. Automation that thinks, not just executes.
Dramatic Time Savings and Productivity Gains
Eliminate 15-20+ hours weekly of manual operational work per team.
Agents handle curve rebuilding, data validation, report generation, alert monitoring, and system synchronization automatically—freeing traders to trade, analysts to analyze, and operations teams to focus on genuine exceptions rather than routine firefighting. Tasks that consumed hours daily now run in minutes without human involvement.
Scale Operations Without Adding Headcount
Grow into new markets and expand trading activity without proportional staff increases.
Organizations report expanding into 4+ new commodity markets with zero additional operations personnel—AI Agents absorb the increased workflow automatically. Double your trading volume, add overnight monitoring, implement new reporting requirements—agents scale effortlessly while your team size remains constant.
Consistent Execution and Reduced Operational Risk
Eliminate human error and ensure uniform methodology application.
Agents execute the same validated procedures every time—no variations based on who's on duty, no shortcuts when pressured, no forgetting steps. Automated quality checks catch issues immediately. Complete audit trails document every action. Operational risk drops dramatically when critical workflows run consistently and reliably.
Conversational Creation and Rapid Deployment
Build sophisticated automation through natural language, no coding required.
Tell Fusion "Create an agent that rebuilds my gas curves daily after settlements and emails me if any curve moves more than 5%"—agent deploys in minutes. Refine through conversation: "Also include storage levels in the email." Iterate as requirements evolve. What traditionally required weeks of development and testing now happens conversationally in the same day.
How AI Agents Work
Autonomous Operation
AI Agents work independently once configured, executing workflows without human intervention:
Scheduled Execution: Agents run on your defined schedule—daily at market close, hourly during trading hours, weekly for summary reports, or triggered by specific events.
Event-Driven Actions: Agents respond to conditions—when new data arrives, when a price threshold is breached, when a data quality issue is detected, or when a system status changes.
Continuous Monitoring: Agents watch for conditions requiring attention and act immediately when thresholds are exceeded or anomalies appear.
Intelligent Decision-Making
Unlike rigid scripts, AI Agents apply intelligence to their operations:
Contextual Awareness: Agents understand what "normal" looks like. If settlement data usually arrives at 17:00 but sometimes comes at 17:15, the agent waits appropriately before flagging an issue—it doesn't cry wolf over routine timing variations.
Exception Handling: When something unexpected occurs—missing data, failed connections, unusual results—agents decide whether to retry, escalate to human oversight, or proceed with alternative approaches.
Adaptive Behavior: Agents learn patterns from execution history. If Friday settlements consistently arrive 30 minutes later than weekday settlements, the agent adjusts expectations accordingly.
Validation Intelligence: Agents don't just execute tasks; they validate results. If a curve update produces values outside expected ranges or if calculated metrics seem anomalous, the agent flags the issue before downstream impacts occur.
Common AI Agent Workflows
Some real-world examples of agents
Daily Curve Maintenance
The Challenge: Every trading day requires updated forward curves reflecting latest market data. Manual curve updates consume analyst time and delay morning trading decisions.
AI Agent Solution
- Executes at 17:30 after exchange settlements publish
- Verifies all required input data loaded successfully
- Rebuilds forward curves using Smart Curves methodology
- Validates curve shapes and checks for unusual moves
- Compares new curves to previous day, flag changes >10%
- Publishes updated curves to production environment
- Sends summary email highlighting significant moves
- If input data incomplete, retries at 18:00 and 18:30
- If data still missing at 19:00, alerts operations team
Result: Curves updated consistently every day without manual intervention. Traders arrive each morning to ready-to-use, validated forward curves. Operations team only intervenes for genuine exceptions.
Data Quality Monitoring
The Challenge: Data quality issues—missing values, stale data, outliers—corrupt analytics and risk calculations if not caught immediately.
AI Agent Solution
- Monitors all critical data feeds continuously
- Checks for expected data within normal timing windows
- Validates data completeness (all expected data present)
- Detects outliers beyond statistical norms
- Verifies data freshness (timestamps within range)
- Flags structural changes (new/discontinued contracts)
- Alerts immediately when quality issues detected
- Provides context: what's missing, what's unusual
- Tracks quality metrics over time
Result: Data issues caught within minutes, not hours or days. Operations team receives actionable alerts with full context. Quality metrics trending shows vendor reliability patterns.
Portfolio Valuation and Risk Reporting
The Challenge: Daily mark-to-market valuations and risk metrics must be calculated consistently and distributed to stakeholders on schedule.
AI Agent Solution
- Waits for curve updates to complete
- Retrieves current portfolio positions
- Applies updated curves to all positions
- Calculates P&L vs. previous day
- Computes risk metrics (VaR, Greeks, etc)
- Generates executive summary highlighting key changes
- Creates detailed reports for risk management
- Distributes reports via email
- Archives all calculations for audit trail
- Alerts if P&L or risk metrics exceed thresholds
Result: Consistent daily valuations without manual calculation work. Stakeholders receive reports on schedule every day. Risk breaches flagged immediately for management attention.
Compliance and Regulatory Reporting
The Challenge: Regulatory obligations—REMIT reporting, position limits, transparency requirements—demand accurate, timely submissions with full audit trails.
AI Agent Solution
- Collects required data from multiple internal sources
- Validates completeness and accuracy against standards
- Formats data per specific regulatory requirements
- Generates submission-ready files or API payloads
- Archives all submissions with timestamps and versions
- Tracks submission deadlines and ensures timely filing
- Maintains comprehensive audit trail
- Alerts compliance team of issues before submission
- Handles resubmissions if initial attempts fail
Result: Regulatory obligations met consistently without manual data collection and formatting. Compliance team focuses on interpretation and strategy rather than data wrangling. Complete audit trail for regulatory inquiries.
Integration with Platform Capabilities
AI Agents leverage OpenDataDSL's complete platform
Data Management
Agents check data consistency and report issues.
Smart Curves
Agents rebuild curves using intelligent curve construction.
AI Assistants
Agents consult assistants for complex decision-making.
Data Catalogue
Agents access standardized market data automatically.
ODSL Language
Agents can run ODSL scripts to perform data management tasks.
Custom Tools
Agents use custom tools to integrate with your internal systems.
From Manual to Autonomous
AI Agents transform energy trading operations from labor-intensive, error-prone manual processes into intelligent, autonomous workflows. Your team shifts from executing routine tasks to managing by exception—intervening only when genuine expertise is required.
Traders focus on trading. Analysts focus on analysis. Operations teams focus on strategic improvements rather than daily firefighting. And your firm operates efficiently 24/7, scaling without proportional cost increases.
Ready to Transform Your AI Operations?
Join energy and commodity professionals who are already leveraging OpenDataDSL and Fusion to work smarter, faster, and more profitably.
Get Started TodayCustom Tools
How about a demo?
Our team is here to find the right solution for you, contact us to see this in action.
Fill out your details below and somebody will be in contact with you very shortly.