Strategic Enterprise Modelling Capability Solution

The procurement contact named on the official notice.

NATIONAL ENERGY SYSTEM OPERATOR LIMITED publishes Software & IT Systems work continuously — 7 notices, roughly one every 43 days. This is a stream to watch, not a cycle to wait for.

38% of NATIONAL ENERGY SYSTEM OPERATOR LIMITED’s awards go to a supplier it has used before.

Which is the argument for getting on the list rather than winning this one. The incumbent is rarely the last winner — it is the roster. See the retention odds by category →

NESO is inviting suppliers to take part in pre-market engagement to help us understand market capability, appetite and enterprise solution options for Strategic Capability for end-to-end Modelling Services.

As NESO continues its transformation into an independent public corporation and advances its strategic data and digital capabilities, it is seeking to establish a modern enterprise CNI technical platform that enables the consistent representation, management and governance of data, models, calculations, business concepts and relationships across the organisation.

The proposed capability will enable enterprise-wide technical solution for modelling, analytical transparency, decision support and AI-enabled innovation.

This technology is aimed at establishing capabilities including but not limited to Energy data ontology and orchestration layer, lineage of source to decision auditability, cross modelling scenario analysis and complex modelling, when needed.

It is intended to support the integration of data, context, calculations, scenarios and business knowledge across a range of NESO services, technology platforms and operational domains.

NESO operates in a Critical National Infrastructure environment hence there is a need to comply to NESO's Data and Security policy and control postures.

NESO is undertaking Preliminary Market Engagement to: • Understand the maturity of currently available market solutions. • Inform the future procurement strategy and requirements. • Explore implementation, transition and operating model options. • Understand commercial models, licensing approaches and contractual considerations. • Assess supplier capability, experience and innovation within this market. • Identify potential risks, dependencies and transition requirements associated with replacement of existing services.

The solution is expected to support outcomes including but not limited to: • Achieve trust and transparency in NESO's advice to stakeholders, customers/industry participants regulators through improved quality of modelling outputs and ability to trace from source to recommendation/ decisions. • Achieve measurable at pace decision making and optimum developer experience through seamless, intuitive and self-serve capabilities. • Enhanced interoperability between NESO's data, analytical and operational platforms. • Achieve standardization, common representation and rigour in NESO's energy modelling and analytics by connecting data, context, calculation and scenarios and demonstrable adherence to Data standards, analytical standards and technical standards aligned to NESO's operational requirements. • Establish modern best-in-class technical capability enabling innovation opportunities and exploit AI • Provision of secure, resilient and highly available services At this stage the contract term is anticipated to be an initial term of 5 years with extension options up to 2 years in 12-month increments however this may change based on the discussions held as part of the Pre Market Engagement Activity to ensure NESO can meet its key and strategic objectives.

Free to start. Named contacts come from published notices; the strategy is generated from the buyer’s news, accounts and people.

Five included while we’re in beta, and the agent asks before it spends on any paid step.