Verified
ConocoPhillips
Piloting- Oil and gas
- ~9,900 employees
- Digital under the CFO
- AI in gas lift and drilling
- No AI platform named
- No current AI return
ConocoPhillips deploys AI inside its oil and gas operations: AI checks gas-lift wells daily and machine learning predicts drilling-motor failures in its Lower 48 fields, and models forecast gas supply and demand and well decline. Ryan Lance, then CEO, said in May 2026 that AI is being embedded in core processes under an enterprise governance framework. Chief Digital & Information Officer Pragati Mathur's team builds the uses with business product teams; ConocoPhillips has disclosed no employee AI assistant, model provider or current AI-credited return.
conocophillips.comTheir approach to AI
- The platform
- ConocoPhillips has named no enterprise AI platform: its AI runs as models inside operational and commercial workflows, built by product teams that pair business experts with Chief Digital & Information Officer Pragati Mathur's staff, and by a data science and AI group led by Bo Hu.
- The models
- ConocoPhillips has named no model provider or generative AI assistant; the models it describes predict drilling-motor failures, check gas-lift wells with a physics-based calculation and forecast gas markets and well decline, and Pragati Mathur said in Aug 2025 that her team had vetted 100 AI companies.
- The reach
- ConocoPhillips has not said how many of its about 9,900 employees use AI; its named AI uses sit with drilling, production, reservoir and commercial teams, and staff learn through a citizen developer program and data analytics training.
- The catch
- ConocoPhillips reports no current return on AI: the last AI-credited figure, more than $3 million of Eagle Ford drilling savings, dates from Aug 2023, Pragati Mathur gave no figure for the decline-curve savings she called significant in Aug 2025, and the company does not tie its more than $1 billion cost program or its 2025 job cuts to AI.
Snapshot
- Employees
- ~9,900
- Dec 31, 2025; 62% in the U.S., 16% in Norway, 8% in Canada
- Technology budget
- Not disclosed
- Research and development expensed: $78M in 2025
- AI/ML headcount
- Not disclosed
- A Director of Data Science and AI, Bo Hu, leads teams building AI and machine learning (May 2026)
- Who owns AI
- Konnie Haynes-Welsh
- CFO and SVP Digital and Transformation since Sep 2026; CD&IO Pragati Mathur leads the digital function
- Platform
- None named
- Models built with business product teams; gas-lift AI runs on existing well telemetry
- Models
- Not disclosed
- No model provider or generative AI assistant named
- Reach
- Not disclosed
- Drilling, production, reservoir and commercial teams
- Use cases
- Gas lift, drilling, forecasting
- Production uses named from 2023 to Mar 2026
Key findings
Ryan Lance, ConocoPhillips' CEO until Aug 31, 2026, told stockholders on May 12, 2026 that AI builds on the company's long use of data, analytics and modeling and is being embedded in core business processes, with every application governed by an enterprise framework on governance, security and responsible use.
ConocoPhillips' named AI uses sit in operations and commercial work: Chief Digital & Information Officer Pragati Mathur said in Aug 2025 that AI now checks every gas-lift well on digital telemetry each day and that models predict drilling-motor failures and forecast natural gas supply, demand and well decline, and Nick Olds said in Mar 2026 that AI-driven gas-lift optimization is cutting site visits on Lower 48 wells.
ConocoPhillips' digital function has changed reporting lines twice: its Chief Digital & Information Officer reported to the CFO in Feb 2025 and to EVP Kirk Johnson in Feb 2026, and since Sep 2026 CFO Konnie Haynes-Welsh also holds the title SVP Digital and Transformation.
ConocoPhillips reports no current return on AI; its last AI-credited figure was more than $3 million of Eagle Ford drilling savings, about $30,000 per well, reported in Aug 2023, Pragati Mathur gave no figure for the decline-curve savings she called significant in Aug 2025, and the more than $1 billion cost and margin program announced in Aug 2025 is credited to workforce centralization, operating and transport costs and new systems, not to AI.
ConocoPhillips had about 9,900 employees at the end of 2025, down from about 11,800 a year earlier, in a year when it booked $286 million of severance for a restructuring; Ryan Lance said in Sep 2025 that the company would need fewer roles as it took work out of the system, and ConocoPhillips has not tied the reduction to AI.
Where ConocoPhillips sits
- Stage
- Piloting
ConocoPhillips sits at Piloting. AI runs in production in a handful of uses: daily AI checks of gas-lift wells, a drill-motor failure model, and natural gas and decline-curve forecasting, all described by Chief Digital & Information Officer Pragati Mathur in Aug 2025, and Ryan Lance said in May 2026 that every AI application follows an enterprise framework on governance, security and responsible use. ConocoPhillips has disclosed no sanctioned generative AI assistant, so the placement rests on those production models. ConocoPhillips falls short of Scaling because it names no company-wide AI platform, no count of AI use cases or users and no current AI return, and oversight of its digital function moved twice between Feb 2025 and Sep 2026.
How the stages are defined - Ownership
- CFO and SVP Digital and Transformation Konnie Haynes-Welsh (since Sep 2026)
- Platform
- Hybrid: No named AI platform; own models plus vendor tools
- Models
- No provider named; models for drilling, gas lift and forecasting
- Hosting
- Not disclosed; filings cite unnamed third-party cloud providers, and reservoir modeling was set to move to SLB's cloud-based DELFI in 2022
- Reach
- Not disclosed; drilling, production, reservoir and commercial teams
How they deploy
AI as an extension of analytics
Ryan Lance, then CEO, told ConocoPhillips stockholders on May 12, 2026 that AI is an increasingly important enabler that builds on the company's long-standing use of data, analytics and modeling. Lance said ConocoPhillips is embedding AI into core business processes to improve reliability, efficiency and execution quality by scaling proven approaches, and is deliberate about applying AI where it could change how work is planned and executed.
Operations first
ConocoPhillips states its digital ambition as enterprise-wide, scalable solutions that improve safety, reduce operational emissions, lower the cost of supply and make operations more efficient. ConocoPhillips' named AI uses all sit in that frame: machine learning for drilling parameters, drilling-motor failures and paraffin risk in the Eagle Ford, AI-driven gas-lift optimization on Lower 48 wells, forecasting of natural gas markets and well decline, and AI and machine learning for equipment optimization and machine life.
Product teams and a value test
Pragati Mathur, ConocoPhillips' Chief Digital & Information Officer, said in Aug 2025 that the company began developing its AI strategy a few years earlier in line with its digital strategy, and that AI investments must tie to efficiency, cost, safety, shareholder returns and lower Scope 1 and 2 emissions. Mathur said her staff sit on global, matrixed product teams whose owners are usually business experts, and that the team vetted 100 AI companies and spent two days with the 25 it picked.
Automation alongside AI
ConocoPhillips pairs its AI work with automation it does not label AI: software bots for rules-based processes, digital twins at facilities in Norway, Alaska, Australia and Canada, autonomous drone trials at the Teesside oil terminal, and a robotic pipe-handling rig in the Montney. ConocoPhillips said in Jun 2023 that digital twins could become the system of systems for autonomous operation of its assets, and Nick Olds said in Mar 2026 that a Permian trial used real-time fiber-optic measurements to adjust fracturing equipment automatically.
Build skills in-house, buy tools where faster
ConocoPhillips trains employees through a citizen developer program, data analytics training and rotation programs, and has funded data science programs at five U.S. universities since 2019. ConocoPhillips' Lower 48 drilling team said in Aug 2023 that it was trialing outside software that optimizes drilling parameters and connects to rig set points, to get results faster than building the software itself.
Digital moved under the CFO
ConocoPhillips' Chief Digital & Information Officer reported to the EVP and CFO according to the 2024 Form 10-K, filed Feb 2025, and to the EVP of Global Operations and Technical Functions, Kirk Johnson, according to the 2025 Form 10-K, filed Feb 2026. Since Sep 2026, CFO Konnie Haynes-Welsh has also been SVP Digital and Transformation, overseeing finance, digital technology and the company's transformation efforts under new CEO Andy O'Brien.
- Deployment model
- ConocoPhillips runs digital technology, AI included, through a global Digital Technology organization led by Chief Digital & Information Officer Pragati Mathur, which its 2027 internship calls Digital & IT, with digital technology managers in its regional businesses, such as Alaska, Canada, and Europe and North Africa. ConocoPhillips builds its AI uses in global product teams owned by business experts, with Mathur's staff on each team, and Director of Data Science and AI Bo Hu leads teams that build and deploy AI and machine learning across geoscience, reservoir engineering, wells and production, supply chain, finance and commercial work. Earlier models came from operations teams: the Lower 48 drilling model joined Gulf Coast and Rockies Wells, Global Wells and IT. Since Sep 2026, CFO and SVP Digital and Transformation Konnie Haynes-Welsh oversees digital technology.
- Model providers
- ConocoPhillips has named no large language model provider, generative AI assistant or coding assistant in its filings, earnings calls, annual meeting, newsroom or executive interviews through Oct 2026. The models ConocoPhillips describes are its own or unattributed: a Lower 48 model trained on three years of drilling data from 116 wells that predicts the best drilling parameters (Aug 2023), a model that predicts drilling-motor failures, AI run as a physics-based calculation that checks gas-lift wells daily, and models that forecast natural gas supply and demand and well decline (Pragati Mathur, Aug 2025), plus a machine learning system that flags paraffin risk from gas composition in the Eagle Ford (Mar 2023). ConocoPhillips' Lower 48 drilling team was trialing outside drilling-optimization software in Aug 2023, Corva AI won a 2023 ConocoPhillips supplier award for its work with Global Wells, and SLB said in Mar 2022 that it would help integrate cloud-based digital solutions and AI into ConocoPhillips' reservoir engineering.
- Data and infrastructure
- ConocoPhillips consolidated separate business-unit drilling databases from 2019 into the Global Wells Data Warehouse, which held about one billion rows of well data in Mar 2021. ConocoPhillips agreed in Mar 2022 to move its reservoir modeling, data and workflows to SLB's cloud-based DELFI platform, and its gas-lift AI uses the digital telemetry already on its wells (Aug 2025). ConocoPhillips' digital twins, pioneered in Norway, ran on a single software solution in Jun 2023, when the company planned a common cloud and data access layer for them, and an upgrade planned for summer 2025 was to improve the Canadian twins' data integration with SAP and documents. ConocoPhillips' 2025 Form 10-K says third-party cloud and service providers collect, host or process some company data without naming them, and Ryan Lance cited a newly implemented company-wide enterprise resource planning system in Aug 2025. ConocoPhillips has not said where its AI models run.
Platforms and internal tools
Global Wells Data Warehouse2019 to 2021
The Global Wells Data Warehouse is ConocoPhillips' central repository for drilling and completions operational data, built by merging the warehouses its business units had copied from an Eagle Ford model; it held about one billion rows of well data in Mar 2021, with plug-and-abandonment and well integrity data being added, alongside faster Spotfire dashboards.
Global Digital Twin programBy 2023
ConocoPhillips' digital twins are 3D replicas of facilities linked to engineering documents and operating data, pioneered in Norway for North Sea platforms, then used in Alaska and at Australia Pacific LNG, and rolled out at Surmont and Montney in Canada in 2025. The program won a 2023 CIO 100 award, and ConocoPhillips said in Jun 2023 that its licensing allows unlimited use of the software.
Process automation bots
ConocoPhillips runs software bots built with robotic process automation for rules-based, repetitive processes, together with intelligent optical character recognition, process mining and digital assistants, and says employees save over 100,000 hours of processing a year with automation; ConocoPhillips says AI and machine learning could make the bots adapt to system upgrades. An undated UiPath case study says ConocoPhillips automates with UiPath, counts about 800 citizen developers and lets business users build smaller automations in UiPath StudioX.
- Users
- About 800 citizen developers (UiPath, undated)
Vendors and partners
SLBMar 2022
Cloud-based DELFI platform for reservoir modeling · ConocoPhillips agreed to move its reservoir modeling, data and workflows to SLB's DELFI platform, with Petrel, Intersect and Eclipse and cloud high-performance computing, and SLB said it would help integrate cloud-based digital solutions and AI (JPT, Mar 2022).
UiPath
Robotic process automation · An undated UiPath case study says ConocoPhillips automates well-trajectory monitoring for collision alerts and smaller processes built by citizen developers with UiPath tools; ConocoPhillips groups this work under automation rather than AI.
Corva AIBy 2023
Supplier to Global Wells · Corva AI received a Doing Business Better award in ConocoPhillips' 2023 Supplier Recognition Award program, announced in Mar 2024.
Precision Drilling
Robotic pipe-handling rig in the Montney · Precision Drilling's rig PD 868, which ConocoPhillips called the first land rig in North America with modular robotics for pipe handling, is part of a three-year collaboration (Jun 2025).
SAP
Enterprise software; data source for the Canadian digital twins · ConocoPhillips said in May 2025 that an upgrade would improve the Canadian digital twins' data integration with SAP and engineering documents, and ASUG listed a Jul 2026 session in which ConocoPhillips and SAP were to present the company's enterprise AI approach.
Oklahoma State University, University of Houston, University of Oklahoma, University of Texas and Texas A&M University2019
Data science education funded by ConocoPhillips · ConocoPhillips gave nearly $3 million to four universities in Apr 2019 and $1 million for a Texas A&M certificate in data analytics for the petroleum industry in Aug 2021.
Leadership
AI, data and platform leaders
Executives
Board
AI org map
Global Digital Technology organization under the CFO, with regional digital managers and AI built in business-owned product teams
ConocoPhillips names no chief AI officer. ConocoPhillips' Chief Digital & Information Officer, Pragati Mathur, leads the global Digital Technology organization, with regional digital technology managers in the business units, and Director of Data Science and AI Bo Hu leads AI and machine learning teams whose reporting line is not published. The CD&IO reported to the CFO in Feb 2025 and to Kirk Johnson, EVP Global Operations and Technical Functions, in Feb 2026, and since Sep 2026 CFO Konnie Haynes-Welsh, also SVP Digital and Transformation, oversees digital technology, reporting to CEO Andy O'Brien.
ConocoPhillips has not disclosed how many people work in AI or data science. ConocoPhillips' AI work sits in its global Digital Technology organization under Chief Digital & Information Officer Pragati Mathur, which recruits for artificial intelligence, data engineering, cloud engineering, IoT, automation development and emerging digital technologies; in a data science and AI group led by Director Bo Hu, whose teams work across geoscience, reservoir engineering, wells, production and business functions; with regional digital technology managers in Alaska, Canada, and Europe and North Africa; and in engineering analytics teams inside operations such as Global Wells and Lower 48 Wells. ConocoPhillips' IT internships are based mainly in Bartlesville, Oklahoma, and Houston.
Reporting lines
President and CEO
Finance, Digital and Transformation
Konnie Haynes-Welsh, CFO and SVP
Oversees finance, digital technology and transformation since Sep 2026
Chief Digital & Information Office
Line inferred from Haynes-Welsh's remit; the Feb 2026 Form 10-K had the CD&IO under Global Operations and Technical Functions
IT/OT Security
Annessa McKenzie, Chief Information Security Officer
Alaska Digital Technologies
Works with Alaska and enterprise teams; direct line not published
Digital Technology, Europe and North Africa
Anne Mette Pettersen
Member of the global Digital Technology organization
Global Operations and Technical Functions
Kirk Johnson, EVP
Lower 48 and Global HSE
Nick Olds, EVP
Home of the drilling and gas-lift AI uses
ConocoPhillips does not publish an org chart below its executive leadership team. The reporting line of the Chief Digital & Information Officer comes from the cybersecurity sections of the 2024 and 2025 Forms 10-K; the line to Konnie Haynes-Welsh after Sep 2026 is inferred from her published remit over digital technology, and the lines of the regional digital managers and of Bo Hu's data science and AI group are not published.
Named people
Use cases
ConocoPhillips has named a small set of AI and machine learning uses in production, all in operations and commercial work: AI checks of gas-lift wells (Aug 2025 and Mar 2026), a drilling-motor failure model and drilling-parameter models (2023 to 2025), natural gas supply and demand forecasting and decline-curve forecasting (Aug 2025), paraffin risk detection in the Eagle Ford (2023) and equipment optimization, after earlier pilots on rod pumps and fiber-optic data. ConocoPhillips has published no count of AI use cases and no current return for any of them: Pragati Mathur called the decline-curve savings significant in Aug 2025 without a figure, the last AI-credited figure, more than $3 million of Eagle Ford drilling savings, dates from Aug 2023, and ConocoPhillips reports no firm-level return on AI.
| Use case | Area | Status | ROI |
|---|---|---|---|
| AI-driven gas-lift optimization ConocoPhillips uses gas lift on thousands of wells that produce nearly 500,000 barrels of oil a day, and Pragati Mathur said in Aug 2025 that AI, run as a trusted physics-based calculation on existing digital telemetry, now assesses each of those wells daily, where one engineer used to manage about a dozen a day, with more frequent adjustments and more hydrocarbons lifted. Nick Olds said in Mar 2026 that AI-driven gas-lift optimization on existing Lower 48 wells improves reliability, reduces site visits and lifts well performance. | Lower 48 production | In production | |
| Drilling-motor failure prediction and drilling-parameter optimization A Gulf Coast and Rockies Wells team built machine learning models that predict drilling-motor failures and, from three years of data on 116 wells and more than 138,000 observations, the best drilling parameters; in Eagle Ford tests they cut premature drilling-motor failures by 65% and raised vertical drilling speed by 20% (Aug 2023), and Pragati Mathur cited the drilling-motor failure model as a working AI use in Aug 2025. | Lower 48 drilling | In production | |
| Natural gas supply and demand forecasting ConocoPhillips uses AI models to forecast natural gas supply and demand more accurately, including flows on the interconnectors between the UK and the EU, according to Pragati Mathur (Aug 2025). | Commercial | In production | |
| Predictive decline curves ConocoPhillips uses AI on historical well data to forecast supply through decline curves and is applying the approach to reserves forecasting; Pragati Mathur called the cost savings significant in Aug 2025 but gave no figure. | Reservoir and production forecasting | In production | |
| Paraffin risk detection in the Eagle Ford An Eagle Ford operations engineer, who received a 2023 SPIRIT Award for Innovation, built a process that runs gas composition data through a machine learning system and a surface detection algorithm to head off paraffin plugging in pads and gathering lines (Mar 2023). | Lower 48 production | In production | |
| Equipment optimization and machine life ConocoPhillips applies AI and machine learning to make predictions and take prescriptive actions within automation workflows, for example to optimize equipment and extend machine life. | Operations, company-wide | In production | |
| Software bots and intelligent document capture ConocoPhillips automates rules-based, repetitive processes with robotic process automation, intelligent optical character recognition, process mining and digital assistants, which it groups under automation rather than AI. | Business processes | In production | |
| Machine learning on fiber-optic data ConocoPhillips geophysicists list a pending patent on machine-learning-based fracture-hit detection from low-frequency fiber-optic signals and were testing acoustic signals with machine learning as virtual multiphase flow meters for production optimization (Oct 2021). | Geophysics | Pilot | |
| Rod-pump optimization with machine learning ConocoPhillips' rod-pump Internet of Things program set out to collect higher-resolution data from about 2,700 rod pumps so machine learning could tune them, an idea that began as a reinforcement learning pitch at a 2018 internal symposium; the program was in its data-analysis phase in Jan 2021. | Artificial lift | Pilot |
Adoption
ConocoPhillips has spread AI through engineering, operations and commercial teams rather than through a tool for every employee: an advanced analytics workflow for Eagle Ford drilling data in 2015, a company effort to become data-driven from 2016, internal symposiums that seeded machine learning projects in 2018, production models in drilling from 2023, and by Aug 2025 AI in gas lift, gas market forecasting and decline curves, built in product teams owned by business experts. ConocoPhillips trains staff through a citizen developer program, data analytics training and rotation programs, and its 2027 Digital & IT internship lists artificial intelligence among its disciplines. ConocoPhillips has not disclosed an employee AI assistant, a count of AI users or how often staff use AI.
By the numbers
Rollout, first pilot to today
2015
ConocoPhillips built its first advanced analytics workflow for drilling and completions data in the Eagle Ford, later copied across nine assets.
2016
ConocoPhillips began a multi-year effort to turn itself into a data-driven company.
2018
ConocoPhillips' internal Analytics & Innovation Symposium produced the ideas behind its machine learning drilling project and a reinforcement learning pitch for rod-pump optimization.
Apr 2019
ConocoPhillips gave nearly $3 million to data science programs at Oklahoma State University, the University of Houston, the University of Oklahoma and the University of Texas.
2020
A ConocoPhillips Gulf Coast and Rockies Wells team started a multi-phase machine learning project in the Eagle Ford to predict drilling-motor failures and speed up drilling.
Mar 2021
ConocoPhillips' Global Wells merged business-unit data warehouses into a central Global Wells Data Warehouse of about one billion rows, with an IT analytics center of excellence.
Mar 2022
ConocoPhillips agreed to move its reservoir modeling, data and workflows to SLB's cloud-based DELFI platform, and SLB said it would help integrate cloud-based digital solutions and AI into ConocoPhillips' reservoir engineering.
Jun 2023
ConocoPhillips' Global Digital Twin program, pioneered in Norway and adopted in Alaska and Australia, won a 2023 CIO 100 award.
Aug 2023
ConocoPhillips reported that machine learning had cut premature drilling-motor failures by 65% in Eagle Ford tests and that the team planned to move its models to real-time data and the cloud.
May 2025
ConocoPhillips Canada rolled out digital twins at Surmont and Montney after Norway and Australia, with full build-out of the main Canadian facilities expected by the end of 2026.
Aug 2025
Pragati Mathur said ConocoPhillips' AI now checks every gas-lift well on digital telemetry daily, and described a drilling-motor failure model, natural gas supply and demand forecasting and decline-curve forecasting in use.
Mar 2026
Nick Olds said AI-driven gas-lift optimization is running on ConocoPhillips' Lower 48 wells.
May 2026
Ryan Lance told stockholders that ConocoPhillips is embedding AI into core business processes under an enterprise framework on governance, security and responsible use.
Sep 2026
CFO Konnie Haynes-Welsh took on oversight of ConocoPhillips' digital technology and transformation as SVP Digital and Transformation.
Economics & controls
Spend and ROI
Technology and AI spending
ConocoPhillips does not disclose a technology, digital or AI budget, or what it spends on models, compute or AI staff. ConocoPhillips expensed $78 million on research and development in 2025 and $81 million in each of 2024 and 2023, according to its 2025 Form 10-K, where its technology programs focus on unconventional reservoirs, recovery from legacy fields, exploration, heavy oil and emissions.
Reported ROI
ConocoPhillips reports no current return on AI. The last AI-credited figures on its own site are more than $3 million of Eagle Ford drilling savings, about $30,000 per well, from its machine learning drilling project (Aug 2023), and more than 125,000 barrels of oil equivalent a year saved by a machine learning paraffin process (Mar 2023). Chief Digital & Information Officer Pragati Mathur said in Aug 2025 that AI decline-curve forecasting had brought significant cost savings and that AI gas-lift checks had lifted more hydrocarbons, without a figure for either. ConocoPhillips said in Mar 2021 that its drilling analytics model, copied across nine assets, had saved hundreds of millions of dollars, but it describes that work as data analytics, not AI.
Cost program and headcount
ConocoPhillips announced more than $1 billion of cost reduction and margin enhancement opportunities in Aug 2025, to be reached on a run-rate basis by the end of 2026, and Ryan Lance said about 80% sits in G&A, lease operating, and transport and processing costs, citing workforce centralization, the company's larger scale and technologies it is deploying, including a new company-wide ERP system. ConocoPhillips said in Sep 2025 that it planned to cut 20% to 25% of its global workforce, employees and contractors, in a restructuring Boston Consulting Group advised on, and Lance cited rising costs per barrel, with no mention of AI (Reuters). ConocoPhillips booked $286 million of severance in 2025 and had about 9,900 employees at the end of 2025, down from about 11,800 a year earlier; the company has credited AI with no part of either.
Productivity markers
ConocoPhillips credits its roughly 15% drilling and completions efficiency gain in 2025 to new technologies and practices such as automated drilling, longer laterals, simultaneous fracturing and continuous pumping, without naming AI (Nick Olds, Mar 2026). ConocoPhillips says employees save over 100,000 hours of processing a year with automation such as robotic process automation, a figure it gives without a date or a cost value and does not attribute to AI.
Governance and risk
Enterprise AI framework
Ryan Lance said on May 12, 2026 that all of ConocoPhillips' AI applications are guided by an enterprise framework on governance, security and responsible use. ConocoPhillips has not published the framework, who owns it or how it reviews AI models.
IT and OT security
ConocoPhillips runs an IT/OT Security Program that covers enterprise IT and operational technology architecture, a Cybersecurity Operation Center, data privacy and governance, and supply chain security, and consults frameworks such as the NIST Cybersecurity Framework, according to its 2025 Form 10-K. ConocoPhillips' CISO leads the IT/OT Security Team and reports to the Chief Digital & Information Officer, and workers must complete information security training every year.
Disclosed AI risk
ConocoPhillips' 2025 Form 10-K lists the growing sophistication of generative AI as a risk that may expand cybercriminals' capabilities in ways it cannot predict, and notes exposure where company data is collected, hosted or processed by third-party cloud and service providers. ConocoPhillips' third-party risk management assesses providers by their access to its network, data and systems.
Board oversight
ConocoPhillips' Audit and Finance Committee oversees information systems and cybersecurity and hears cybersecurity reports several times a year, and the full board receives one annually. ConocoPhillips' 2026 proxy statement lists technology expertise as a board skill because the company increasingly uses its global data to monitor and optimize operations, and cites director Sharmila Mulligan's experience in artificial intelligence. Pragati Mathur said in Aug 2025 that her team had held a technology showcase for the board, which asked for a repeat with new solutions.
Recent signals
Sep 8, 2026
ConocoPhillips introduced Andy O'Brien's leadership team, in which CFO Konnie Haynes-Welsh, also SVP Digital and Transformation, oversees finance, digital technology and transformation.
Aug 6, 2026
ConocoPhillips named CFO Andy O'Brien to succeed Ryan Lance as CEO and Konnie Haynes-Welsh as CFO, effective Sep 1, 2026, with Lance becoming executive chair.
Aug 6, 2026
Ryan Lance said on ConocoPhillips' Q2 2026 call, his last as CEO, that the company will benefit from what he called the coming AI revolution, in remarks on the importance of energy security.
Jul 28, 2026
ASUG scheduled an online session in which Roger Bhalla, listed as a department head at ConocoPhillips, and an SAP adviser were to present ConocoPhillips' approach to enterprise AI: setting up governance, ranking high-value use cases and a roadmap for responsible adoption.
May 12, 2026
Ryan Lance told ConocoPhillips' annual meeting that AI is an increasingly important enabler being embedded in core processes, with every application under an enterprise framework on governance, security and responsible use.
May 11, 2026
JPT published a summary of an SPE executive breakfast on returns from AI, held Mar 26, 2026, at which ConocoPhillips' Director of Data Science and AI, Bo Hu, led the round on metrics; the summary attributes no figures to ConocoPhillips.
May 5, 2026
Pragati Mathur, ConocoPhillips' Chief Digital & Information Officer, was listed as a panelist on AI in industrial operations at the Metis Strategy Summit.
Mar 30, 2026
ConocoPhillips' 2026 proxy statement cited director Sharmila Mulligan's experience in artificial intelligence, cloud computing and data analytics, and said the company increasingly uses its global data to monitor and optimize operations.
Mar 24, 2026
Nick Olds said AI-driven gas-lift optimization is improving reliability and cutting site visits on ConocoPhillips' Lower 48 wells, and that a Permian trial used real-time fiber-optic data to adjust fracturing equipment automatically.
Feb 17, 2026
ConocoPhillips' 2025 Form 10-K reported about 9,900 employees, down from about 11,800, $286 million of restructuring severance, a Chief Digital & Information Officer reporting to Kirk Johnson, and generative AI as a cyber risk.
Quick answers
- How does ConocoPhillips deploy AI?
- ConocoPhillips deploys AI inside its oil and gas operations: AI checks gas-lift wells daily and machine learning predicts drilling-motor failures in its Lower 48 fields, and models forecast gas supply and demand and well decline. Ryan Lance, then CEO, said in May 2026 that AI is being embedded in core processes under an enterprise governance framework. Chief Digital & Information Officer Pragati Mathur's team builds the uses with business product teams; ConocoPhillips has disclosed no employee AI assistant, model provider or current AI-credited return.
- What does ConocoPhillips use AI for?
- ConocoPhillips has named a small set of AI and machine learning uses in production, all in operations and commercial work: AI checks of gas-lift wells (Aug 2025 and Mar 2026), a drilling-motor failure model and drilling-parameter models (2023 to 2025), natural gas supply and demand forecasting and decline-curve forecasting (Aug 2025), paraffin risk detection in the Eagle Ford (2023) and equipment optimization, after earlier pilots on rod pumps and fiber-optic data. ConocoPhillips has published no count of AI use cases and no current return for any of them: Pragati Mathur called the decline-curve savings significant in Aug 2025 without a figure, the last AI-credited figure, more than $3 million of Eagle Ford drilling savings, dates from Aug 2023, and ConocoPhillips reports no firm-level return on AI.
- Who leads AI at ConocoPhillips?
- AI at ConocoPhillips is led by Konnie Haynes-Welsh (Chief Financial Officer and Senior Vice President, Digital and Transformation); Pragati Mathur (Chief Digital & Information Officer); Bo Hu (Director of Data Science and AI). Ownership of AI on the org chart: CFO and SVP Digital and Transformation Konnie Haynes-Welsh (since Sep 2026).
- What AI platform does ConocoPhillips use?
- ConocoPhillips has named no enterprise AI platform: its AI runs as models inside operational and commercial workflows, built by product teams that pair business experts with Chief Digital & Information Officer Pragati Mathur's staff, and by a data science and AI group led by Bo Hu.
- Which AI models does ConocoPhillips use?
- ConocoPhillips has named no model provider or generative AI assistant; the models it describes predict drilling-motor failures, check gas-lift wells with a physics-based calculation and forecast gas markets and well decline, and Pragati Mathur said in Aug 2025 that her team had vetted 100 AI companies.
- How many ConocoPhillips employees use AI?
- ConocoPhillips has not said how many of its about 9,900 employees use AI; its named AI uses sit with drilling, production, reservoir and commercial teams, and staff learn through a citizen developer program and data analytics training.
- How far has AI spread at ConocoPhillips?
- ConocoPhillips sits at Piloting. AI runs in production in a handful of uses: daily AI checks of gas-lift wells, a drill-motor failure model, and natural gas and decline-curve forecasting, all described by Chief Digital & Information Officer Pragati Mathur in Aug 2025, and Ryan Lance said in May 2026 that every AI application follows an enterprise framework on governance, security and responsible use. ConocoPhillips has disclosed no sanctioned generative AI assistant, so the placement rests on those production models. ConocoPhillips falls short of Scaling because it names no company-wide AI platform, no count of AI use cases or users and no current AI return, and oversight of its digital function moved twice between Feb 2025 and Sep 2026.
Open questions
- Does ConocoPhillips' Chief Digital & Information Officer, Pragati Mathur, now report to Konnie Haynes-Welsh, and where does Bo Hu's data science and AI group sit?
- Does ConocoPhillips give employees a sanctioned generative AI assistant or coding assistant, and which model providers sit behind it?
- Which cloud providers host ConocoPhillips' data and AI models beyond SLB's DELFI, and do any models run in its own data centers or at the well site?
- What business return do ConocoPhillips' deployed AI uses deliver now, such as the extra hydrocarbons from AI gas-lift checks, the decline-curve savings Pragati Mathur called significant, the drilling-motor failure model and natural gas forecasting?
- Which SAP AI tools, if any, does ConocoPhillips use, given its Jul 2026 ASUG session on enterprise AI with SAP?
- How many AI use cases does ConocoPhillips run in production, and how many people work in AI and data science roles?
- What does ConocoPhillips' enterprise framework on governance, security and responsible use of AI require, and who enforces it?
- Did AI or automation contribute to ConocoPhillips' 2025 restructuring or its more than $1 billion cost and margin program?
- Will Andy O'Brien, who oversaw technology as SVP Strategy, Commercial, Sustainability and Technology in 2024 and 2025, set AI targets as CEO, starting with the Q3 2026 call on Nov 5, 2026?
Sources
ConocoPhillips
- Digitizing our business
- Innovation and technology
- Leadership team
- Konnie Haynes-Welsh, CFO and SVP Digital and Transformation, biography
- Andy O'Brien, President and CEO, biography
- Kirk Johnson, EVP Global Operations and Technical Functions, biography
- Nick Olds, EVP Lower 48 and Global HSE, biography
- Ryan Lance, Executive Chair, board biography
- Sharmila Mulligan, director, board biography
- Khoa Dao, SVP Commercial and Strategy, biography
- Heather Hrap, SVP Human Resources and Real Estate and Facilities Services, biography
- Shannon Kinney, SVP Legal, General Counsel and Corporate Secretary, biography
- Andrew Lundquist, SVP Government Affairs and Surface Lands, biography
- Career areas: Information Technology
- Intern, Information Technology 2027
Executive interviews and talks
- CIO.com: AI-powered transformation at ConocoPhillips, interview with Pragati Mathur (Aug 27, 2025)
- JPT: Bo Hu, Director of Data Science and AI, author biography
- JPT: SPE executive breakfast on AI returns, from metrics to execution (May 11, 2026)
- Metis Strategy Summit agenda, Pragati Mathur panel (May 5, 2026)
- ASUG: Beyond AI hype, ConocoPhillips' practical approach to enterprise AI (Jul 28, 2026)
- Energy Workforce: 2025 annual meeting technology and innovation panel, Pragati Mathur biography (Mar 12, 2025)
- Security Boulevard: CISOs to watch in Texas energy (Apr 8, 2026)
Regional business units
Filings, letters and investor materials
- ConocoPhillips 2025 Form 10-K (filed Feb 17, 2026)
- ConocoPhillips 2024 Form 10-K (filed Feb 18, 2025)
- 2026 proxy statement (Mar 30, 2026)
- 2025 Annual Report
- 2026 annual meeting: answers to stockholder questions (May 12, 2026)
- 2026 annual meeting transcript (May 12, 2026)
- Form 8-K on the CEO and CFO succession (Aug 11, 2026)
- Q2 2026 earnings call transcript (Aug 6, 2026)
- Q4 2025 earnings call transcript (Feb 5, 2026)
- Q3 2025 earnings call transcript (Nov 6, 2025)
- Q2 2025 earnings call transcript (Aug 7, 2025)
Company news and stories
- Leadership succession: Andy O'Brien named President and CEO (Aug 6, 2026)
- Andy O'Brien and experienced leadership team usher in next chapter (Sep 8, 2026)
- Nick Olds on Lower 48 results through scale, inventory and tech (Mar 24, 2026)
- Teesside tests autonomous drones (May 26, 2026)
- Canada rolls out digital twins for Surmont and Montney (May 27, 2025)
- Montney's automated drilling rig (Jun 18, 2025)
- How ConocoPhillips uses data to optimize its Lower 48 operations (Aug 9, 2023)
- Girls Talk Tech IT summer program, with the CD&IO and CISO (Aug 22, 2023)
- Digital twins: the system of systems (Jun 12, 2023)
- The serial innovator: an Eagle Ford paraffin risk index (Mar 14, 2023)
- Winners of the 2023 Supplier Recognition Award program (Mar 26, 2024)
- Geophysicist profile: fiber optics and machine learning (Oct 12, 2021)
- Global Wells leads digital transformation in analytics (Mar 30, 2021)
- Pumped on technology: the rod-pump IoT program (Jan 25, 2021)
- ConocoPhillips gives $1 million for a Texas A&M data science certificate (Aug 23, 2021)
- ConocoPhillips donates nearly $3 million to support data science (Apr 25, 2019)
Data confidence
- Confirmed
- Stated in a primary or reputable public source.
- Estimated
- Derived or approximated from public reporting.
- Unconfirmed
- Reported, but not yet corroborated.
ConocoPhillips profile · Enterprise AI diffusion report by Imagine · facts checked against their sources on Nov 1, 2026
