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.