We combine domain understanding with practical delivery experience to help energy trading, risk, operations and data teams work more effectively.
Help clients deliver platform change with lower operational risk and stronger business ownership across trading, risk, operations and finance.
Reduce manual extracts and build trusted, reusable data foundations for risk, margin, finance and operations teams.
Improve exposure visibility, margin process control and daily decision support for risk, treasury and collateral teams.
Strengthen support ownership, operational controls and incident response for business-critical ETRM processes.
We identify and build governed AI capabilities around ETRM platforms — knowledge access, support automation, data quality and decision assistance — with human-in-the-loop control at every step.
AI-powered search across Endur documentation, runbooks and support history. Faster incident triage, onboarding support and knowledge reuse without tribal dependency.
Detect unusual movements in MTM, exposure or margin data. Classify and explain reconciliation breaks for Risk, Finance and Operations with source-system evidence.
Explain exposure and margin changes between runs, summarise Initial Margin drivers and assist with broker statement comparison and intraday cash visibility.
AI-assisted generation of test scenarios, code review guidance, documentation from code and release notes — keeping human review and governance in place.
All AI capabilities are built with human-in-the-loop approval workflows, controlled prompt libraries and audit trails. AI assists — it does not replace ETRM controls or accountability.
Connect AI capabilities to existing tools — Jira, Confluence, GitHub, SharePoint, ServiceNow — with a secure retrieval layer over approved enterprise data sources.
We focus on use cases where AI reduces real operational burden for trading, risk, operations and technology teams. Each capability is designed to be auditable, human-supervised and aligned to how ETRM businesses actually operate.