Presidio (FTW) Corporate presentation summary

Asset base and market positioning

• 2,300+ operated wells across the Anadarko and Arkoma Basins; 100% PDP-focused, low-decline, long-life assets and current production of 23 MBoe/d.

• Current production mix: 57% gas, 27% NGL and 16% oil; current revenue mix: 57% oil, 29% NGL and 14% gas.

• Strategy is positioned around durable energy demand, shrinking high-quality drilling inventory and the value of producing, low-decline U.S. assets.

AI operating strategy

• 2026 target: 3–5% production uplift from technology with no new drilling; 2.3% delivered through Q2 against program baselines.

• Three priorities: production uplift, 10× employee productivity and scaling intelligence across 2,300+ wells, supported by shared cloud, data and security.

• Programs include well surveillance, AI-set plunger cycles and weekly field checklists; pilots are measured against pre-program baselines, with field teams making final calls.

• Weekend WellCheck delivered ~1.4% annualized production uplift against its pre-program baseline, included in the 2.3% reported through Q2.

• DOUG prioritizes production variances across SCADA wells to help crews address problems sooner; acquisition review proof of concept was built in 2 days using internal well data.

AI platform and operating model

• The Gauntlet is an AI software factory with shared engineering, operational, security, compliance and quality standards for repeatable product development.

• Mainspring provides one operating platform, login and access-control layer; DOUG powers applications, with security and audit controls designed in.

• The presentation describes an AI-native operating model where agents execute objectives within guardrails and people supervise by exception.

• In 12 months, the stated ambition is a fuller oil and gas operating system, applications across key functions and AI built into everyday team workflows.

• Longer-term plans extend agents across upstream functions and envision sensor-enabled predictive operations and autonomous routine field decisions within guardrails.