FAQ
Publicis Sapient, in partnership with Microsoft, helps energy and commodities organizations modernize supply, trading, and risk operations. The offering focuses on creating a secure, data-centric digital ecosystem that improves visibility, automation, analytics, and decision-making across the value chain.
What does Publicis Sapient offer for energy supply, trading, and risk modernization?
Publicis Sapient offers an architectural framework for modernizing energy supply, trading, and risk operations. The approach is designed to create a secure, data-centric ecosystem with stronger visibility, automation, and analytical capabilities. It is positioned for organizations operating in complex, volatile, and multi-jurisdiction energy markets.
Who is this offering for?
This offering is for energy and commodities organizations that need to modernize supply, trading, and risk across the value chain. The source materials specifically reference supply and trading organizations, utilities companies, power and utilities businesses, and oil and gas operators. It is especially relevant for organizations working across front, middle, and back office functions.
What business problems is this designed to solve?
This offering is designed to address fragmented systems, siloed data, manual workflows, and aging C/ETRM environments. The source materials describe these issues as limiting visibility, slowing decisions, increasing operational complexity, and raising the risk of human error and security issues. The goal is to help organizations respond faster to market change while improving resilience and agility.
Why are energy companies modernizing supply, trading, and risk now?
Energy companies are modernizing now because volatility and complexity have become structural features of the market. The source materials point to the energy transition, geopolitical disruption, inflation, changing regulations, rising data volumes, and increasingly interconnected commodity markets. In that environment, legacy systems built for simpler markets are no longer enough.
What is Publicis Sapient’s approach to modernization?
Publicis Sapient takes a business-first approach to modernization. Rather than treating the work as a narrow technology replacement, it starts with business priorities, operating outcomes, and the value an organization wants to unlock. The approach also emphasizes integrating data, connecting processes, simplifying platforms, and modernizing across the full value chain instead of optimizing one function in isolation.
Does this approach require replacing existing systems of record?
No, this approach does not necessarily require replacing existing systems of record. The source materials repeatedly state that organizations can build a unified commercial analytics and data ecosystem on top of current platforms. That allows companies to modernize incrementally and unlock new capabilities without a disruptive rip-and-replace program.
How does a data-centric digital ecosystem help energy organizations?
A data-centric digital ecosystem helps organizations improve agility, streamline business processes, and enable next-generation decision support. According to the source materials, it breaks down data silos, accelerates automation, and supports portfolio optimization across supply, trading, and risk. It also creates a stronger digital foundation for future AI-enabled use cases.
What does a unified commercial analytics platform do?
A unified commercial analytics platform brings together data and analytics capabilities across supply, trading, and risk. The source materials say this helps organizations gain end-to-end visibility, support scenario analysis, improve portfolio optimization, and unlock high-value AI-enabled workflows. It is intended to give teams a more connected and trusted view of the business.
What kinds of processes can be automated?
This approach can automate many manual and exception-heavy processes across the trade lifecycle. The source materials specifically mention deal capture, contract management, scheduling, reporting, reconciliation, approvals, and other back-office and mid-office activities. The purpose is to reduce manual effort, improve consistency, lower risk, and free teams to focus on higher-value work.
How does the offering improve decision support?
The offering improves decision support by combining connected data, analytics, and AI-enabled capabilities. The source materials describe real-time visibility, trader decision support, action recommendations, executive dashboards, and scenario analysis across supply, trading, and risk. This helps teams move faster from fragmented information to more informed action.
What role does AI play in the modernization approach?
AI is used to strengthen insight, automation, and decision-making when it is connected to the right data and workflows. The source materials describe uses such as demand forecasting, market simulation, price forecasting, contract review, risk analysis, management reporting, and decision support. Publicis Sapient also emphasizes that AI is most effective when modern systems, governance, and usable data foundations are already in place.
Can this approach support cross-commodity and multi-jurisdiction trading?
Yes, the offering is specifically framed for cross-commodity and multi-jurisdiction environments. The source materials note that many traditional CTRM and ETRM platforms were built for single-commodity operations and struggle across markets and jurisdictions. Publicis Sapient and Microsoft position this framework as a way to support more connected, resilient, and scalable trading operations.
How does the offering help with risk management?
The offering helps strengthen risk management by improving how information flows across supply, trading, operations, and finance. The source materials say that better-connected systems and centralized data improve visibility into positions and exposures, support faster scenario analysis, and help teams respond more effectively to disruption and market change. The goal is better and faster risk-adjusted decisions, not just more reporting.
What role does Microsoft Azure play in the offering?
Microsoft Azure provides the cloud foundation for modernization. The source materials describe Azure as supporting secure, scalable, and AI-ready architectures that improve visibility, enable automation, and support broader access to analytics and data services. Publicis Sapient also references Azure-based cloud migration, infrastructure modernization, and cloud-native architectures that reduce reliance on rigid on-premises environments.
What other Microsoft technologies are part of the solution environment?
The source materials reference a broader Microsoft ecosystem beyond Azure. These include Dataverse, Power BI, Power Apps, Power Automate, Power Pages, Microsoft 365, Teams, Microsoft Security, Azure AI services, and Cloud for Sustainability. Publicis Sapient presents these as components of a wider environment for reporting, collaboration, security, automation, app innovation, and analytics.
How does this apply to power and utilities companies?
For power and utilities companies, the offering is designed to connect commercial and operational data without forcing a disruptive replacement of core systems. The source materials describe helping utilities unify data across trading, scheduling, asset performance, finance, compliance, load, generation availability, storage, and transmission constraints. This supports better scenario analysis, workflow automation, and portfolio decisions in more variable renewable-era environments.
How does this apply to oil and gas organizations?
For oil and gas organizations, the offering is designed to modernize supply, trading, and risk across upstream, midstream, downstream, and end-customer activities. The source materials describe improving visibility across complex value chains, reducing manual processes, enabling AI-driven analysis, and supporting emerging areas such as carbon credit trading and full-cycle cost analytics. The approach is positioned to help organizations adapt to volatility, regulation, and the energy transition.
What outcomes does Publicis Sapient emphasize?
Publicis Sapient emphasizes outcomes such as greater agility, stronger collaboration, more automation, faster decision-making, improved scalability, and lower total cost of ownership. The source materials also connect modernization to end-to-end visibility, portfolio optimization, stronger operational resilience, and support for new revenue streams. In some cases, they also highlight sustainability-related outcomes such as auditability and full-cycle cost analysis.
Is there evidence of measurable business impact?
Yes, the source materials include examples of measurable business impact. One U.S.-based oil and gas company is described as achieving a 25% reduction in total cost of ownership and an 80% decrease in time to provision new hardware after moving to an Azure-based infrastructure-as-a-service model. Another example describes a global energy trading workflow transformation that reduced 14 manual steps to 4 clicks and reached 100% adoption for all new trades within the first week.
How does Publicis Sapient typically help organizations get started?
Publicis Sapient typically starts by helping organizations identify the value already present in their current environment and define the ambition for transformation. The source materials describe using market and peer data analytics, what-if scenarios, roadmap development, and high-impact use cases to decide where to begin. The approach is intended to deliver practical early wins while building a longer-term digital foundation.
What makes Publicis Sapient different in this space?
Publicis Sapient positions itself as a transformation partner that connects strategy to implementation across the full value chain. The source materials highlight more than 30 years of digital business transformation experience in energy and commodities, its SPEED capabilities across Strategy, Product, Experience, Engineering, and Data & AI, and its partnership with Microsoft. Its differentiation is presented as a combination of industry-specific expertise, cloud and AI capabilities, and a business-first modernization approach.