Modernize Midstream Legacy Systems With AI That Scales

Consider a recent case: A major pipeline operator faced a critical failure during a capacity auction. Their outdated systems couldn’t handle real-time bids, resulting in a 24-hour delay, over $500,000 in lost revenue and frustrated customers looking to other suppliers. This wasn’t an isolated incident—it’s a symptom of relying on aging technology.

For decades, these systems powered pipelines reliably enough. But as energy markets grow more dynamic, what once worked now constrains growth. Manual processes, siloed data and aging hardware make it impossible to respond to volatility, meet regulatory pressure or keep up with customer and partner expectations. In the midstream sector, legacy systems don’t just slow you down, they can expose you.

At Publicis Sapient, we’ve helped numerous midstream companies through these challenges, replacing obsolete infrastructure with systems that bolster efficiency and growth. Modernization is no longer an IT initiative, it’s a business survival strategy.

Here’s what that journey looks like when it’s done right.

Legacy systems aren’t just technical debt, they’re opportunity cost. Outdated IT infrastructure slow operations, expose vulnerabilities and hinder innovation.

Here are common challenges caused by legacy systems:

• Manual processes: Teams spend excessive time on manual tasks, such as transferring data between disconnected platforms for billing or scheduling. In our experience, this can consume 30 to 40 percent of employees’ time, leading to errors and delays.
• Siloed data, flawed decision-making: Disconnected systems obscure real-time visibility into pipelines, storage or transport, forcing decisions based on incomplete information.
• Aging hardware: Outdated infrastructure demands frequent maintenance, increasing downtime and operational costs.
• Knowledge loss: The retirement of veteran staff risks losing critical, undocumented expertise making it harder for new teams to manage legacy environments.
• Security vulnerabilities: These systems, often unpatched and poorly integrated, are prime targets for cyber threats. Trustwave SpiderLabs’ 2025 report noted an 80 percent surge in ransomware attacks targeting U.S. energy firms, exploiting outdated infrastructure. The 2021 Colonial Pipeline attack, which cost millions and disrupted fuel supplies, underscores the stakes.

In short, legacy systems erode efficiency, security and competitiveness. Addressing them isn’t just about avoiding losses—it’s about positioning your business to thrive.

Modernization transforms challenges into strengths, enabling midstream firms to operate smarter, faster and more profitably. Drawing from our work with industry leaders, here’s what you stand to gain.

Real-time data integration enables smarter decisions.

By consolidating data from pipelines, storage and markets, you gain a clear, live view of operations. For example, we helped a pipeline operator integrate IoT sensors and AI analytics, enabling predictive maintenance that reduced downtime by 25 percent and saved millions in repair costs.

Innovation drives new revenue.

Modern platforms enable services like digital customer portals or predictive maintenance offerings. We assisted a storage operator in launching a real-time shipment tracking portal, boosting customer satisfaction by 40 percent and generating $2 million in new revenue from a premium service within a year.

Automation enhances agility.

Streamlined systems can dynamically adjust operations, such as balancing pipeline capacity based on live nominations. A transport client we supported automated their allocation process, cutting manual work by 50 percent and responding to market shifts in hours, not days. This agility helped them capitalize on supply disruptions, outpacing competitors.

Modern tools empower your workforce.

By reducing repetitive tasks, employees focus on strategic priorities, improving morale and attracting tech-savvy talent. Across our projects, clients report enhanced productivity and engagement.

Modernization positions you to lead in a dynamic energy landscape, from adapting to renewables to meeting evolving market demands.

We’ve guided over 20 midstream companies through modernization, delivering efficiency gains of 25 to 40 percent on average. Below are three key pillars, with clear steps and examples from our work, that consistently delivers these outcomes.

Step 1: Modernize the core infrastructure

Begin with an audit to map your tech stack and identify inefficiencies, then prioritize integrations using APIs to connect siloed systems without costly overhauls. Shift to scalable, cloud-based systems that support flexibility and growth.

How to do it:

• Assess: Conduct a four to six-week review using automated tools to pinpoint bottlenecks.
• Pilot: Test cloud migration on a single function, like inventory management, to demonstrate value.
• Scale: Expand enterprise-wide, with training to ensure adoption.

During early modernization phases, we often use Sapient Slingshot, our AI-powered software development platform, to establish scalable architecture patterns and accelerate alignment. It provides reusable templates, patterns and tooling that help teams move faster, prototype ideas and avoid reinventing foundational components.

Step 2: Secure as you scale with zero-trust and AI monitoring

Adopt a zero-trust security model, continuous monitoring and integrated IT/OT defenses to protect operations.

How to do it:

• Gap analysis: Audit vulnerabilities, particularly in legacy network connections.
• Layer defenses: Implement multi-factor authentication, network segmentation and AI-driven threat detection.
• Simulate threats: Run regular drills to build resilience.

Step 3: Activate AI intelligence to drive efficiency

Leverage automation, AI and analytics to create a data-driven operation. Unify data sources and layer on intelligent tools to optimize processes and customer experiences.

How to do it:

• Unify data: Build a data lake in two to three months to centralize information.
• Add intelligence: Integrate AI for predictive analytics and automation for workflows.
• Iterate: Use feedback to refine systems continuously.

We use Slingshot to prototype AI agents quickly and test ideas without locking clients into a specific model or partner. Its reusable patterns and LLM-agnostic design help teams move faster with less risk.

And while those agents help automate tasks and improve responsiveness, our enterprise-scale agentic AI platform, Sapient Bodhi, strengthens the decisions behind them. By creating a trusted knowledge layer over decades of operational documentation, Bodhi gives frontline teams consistent, accurate guidance when it matters most.

We’ve used this approach with midstream operators facing the same pressures you are. Each has been tested them in the field, refined over time and deliver measurable results.

The midstream landscape is evolving faster than anyone predicted—new energy sources, tighter margins, rising expectations. Companies that modernize now aren’t just keeping up, they’re building the ability to lead.

We’re already seeing this shift. Operators that have moved early on modernization are now experimenting with predictive energy trading, automated maintenance scheduling and adaptive capacity management. They’re the ones capturing new revenue streams while others are still fighting downtime.

At Publicis Sapient, we’ve helped midstream companies transform operations, identify new opportunities and position their organizations for long-term success.