Baker Hughes and EPAM Revolutionize Oil & Gas with Generative AI Assistants

Florence, Italy – Baker Hughes and EPAM have joined forces to develop cutting-edge Generative AI (GenAI) assistants designed to revolutionize productivity in the oil and gas sector. The collaboration, unveiled at the 2025 Baker Hughes Annual Meeting (BHAM), features JenAii™, EPAM’s Digital Assistant, powered by Large Language Models (llms) and Conversational Interfaces. This initiative aims to provide businesses with an interactive and efficient way to engage with customers and internal teams, leveraging Amazon web Services (AWS) and establishing a repeatable framework for creating additional GenAI solutions across Baker Hughes’ operations.

The 2025 Baker Hughes Annual Meeting (BHAM) in Florence served as the stage for showcasing the collaborative efforts between Baker Hughes and EPAM. The meeting’s theme, “Progress @ Scale,” perfectly captured the spirit of innovation and advancement driving the partnership. Attendees were given an exclusive look at JenAii™, EPAM’s Digital Assistant, designed to transform how businesses interact with both their customers and internal teams.

Introducing JenAii™: The Hyper-Realistic Virtual Assistant

JenAii™, pronounced “Jenny,” is more than just a chatbot; it’s a hyper-realistic virtual assistant powered by Large Language Models (LLMs) and Conversational Interfaces. according to Boris Shnayder, Senior Vice President, Co-Head of global Business at EPAM, JenAii offers a visual experience, setting it apart from traditional chatbots. EPAM, the digital parent of JenAii, is a leading digital conversion services and product engineering company.

Shnayder explained, JenAii is a hyper-realistic virtual assistant – instead of a chatbot you interact with a kind face. This visual element aims to enhance user engagement and provide a more intuitive interaction.

JenAii is designed to be cloud-service provider (CSP) agnostic,allowing for seamless integration into existing customer relationship solutions.It can be trained on specific data and terminology, even learning to converse using industry-specific jargon. For BHAM, JenAii was trained on a wide array of content, including the event agenda, key Baker Hughes technologies, and content recommendations from the Energy Forward website.

At the annual meeting, JenAii operated from interactive kiosks, providing attendees with answers to questions about the meeting’s sessions and a range of Baker Hughes solutions in over 100 languages. Shnayder highlighted the versatility of JenAii, stating, JenAii has a lot of use cases – we created it for customers who’d like a visual experience when interacting with GenAI. He added that the assistant was intended to elevate the Annual Meeting by showcasing the potential future of Baker Hughes products with a visual GenAI digital assistant.

For its appearance at BHAM, JenAii was also trained on workflows for Baker Hughes products, including the automated field production solution Leucipa™ and the asset performance management suite Cordant™.

Shnayder elaborated on JenAii’s capabilities, saying, JenAii could guide customers through common workflows, and they could even ask it questions about a particular asset, field or well. JenAii talked them through what she’s still learning, what she knows and understands now. He further explained that JenAii could simulate taking action on behalf of the customer, providing recommendations based on data analysis. The human element remains crucial, with users able to approve and implement JenAii’s suggestions.

She’d say, ‘Based upon this data, this is what I recommend’.The customer could say, ‘Go ahead and implement’ and JenAii would say ‘OK right away’. The human is still very much in the loop and interacting with a very advanced digital assistant which is going to analyze, execute and help you understand the situation in real time.

Boris Shnayder, Senior Vice President, Co-Head of Global Business, EPAM

Leveraging GenAI to Enhance Productivity

Baker Hughes, EPAM, and Amazon Web Services (AWS) have been collaborating over the past year to harness the potential of AI and GenAI to boost productivity. Their initial collaboration focused on building Leucipa, an AI-powered production optimization solution.Building on this success, they aimed to create genai-powered digital assistants, combining Baker Hughes’ industry expertise, the AWS genai toolkit, and EPAM’s proficiency in this domain.

The primary objective was to leverage the best LLMs available to unlock greater productivity for Baker Hughes and its customers. Shnayder noted,Baker Hughes wanted to prove out the value of a use case of GenAI and EPAM has an approach to execute these GenAI projects quickly. He added that their approach involves understanding the possibilities,conducting rapid proof-of-concepts,articulating the value,and determining how to scale the solution for real-world production use cases.

this collaboration has resulted in two GenAI digital assistants that are currently being deployed. One of these assistants, nicknamed ‘Flow,’ is designed to improve the support of critical artificial lift systems, which are essential for the production of most oil and gas wells. Shnayder explained, We wanted to build a GenAI assistant to help field personnel answer common questions that happen around artificial lift equipment.

While Flow cannot answer every question and does not replace human engineers, it frees up their time by addressing common inquiries. Shnayder emphasized that the business case for Flow was quickly established, demonstrating its value for both Baker Hughes and its customers.

EPAM also guided Baker Hughes on the GenAI journey for Leucipa. James Brady, Chief Digital Officer Oilfield Services & Equipment (OFSE) with Baker Hughes, stated, They helped us to build a technical stack around AI and showed us the fundamentals of an LLM program. They’ve really nurtured us on how to build it at scale. Brady expressed high ambitions for Leucipa, expecting it to transform the oil and gas industry. He credited EPAM with turning the

Generative AI: Reshaping the Oil & Gas Industry – An Exclusive Interview

Is the oil and gas industry on the verge of a digital revolution driven by generative AI? Absolutely. The integration of smart virtual assistants is poised to transform operational efficiency and customer interaction in ways we’ve only begun to imagine.

Q: Dr. Anya Sharma, leading expert in digital change within the energy sector, welcome. Could you explain how generative AI assistants like JenAii™ are revolutionizing the oil and gas industry’s productivity and customer interaction?

A: The oil and gas industry,traditionally reliant on complex,data-heavy processes,is ripe for disruption. Generative AI assistants,such as JenAii™,offer a significant leap forward in productivity and customer experience. These AI-powered solutions act as intelligent intermediaries, streamlining workflows, automating tasks, and providing real-time insights. This leads to optimized resource allocation, reduced downtime, and improved decision-making. For customers, the impact is equally transformative – more efficient support, personalized interactions, and readily available information. Think of the ability to instantly access information on a specific asset’s performance, receive tailored recommendations for maintenance, or even have routine workflows automated. This translates to a marked advancement in overall customer satisfaction.

Q: What are the key benefits of using hyper-realistic virtual assistants like JenAii™ over traditional chatbot solutions? What makes them so effective?

A: The key advantage of hyper-realistic virtual assistants lies in their enhanced user engagement. The visual element of a realistic avatar fosters trust and improves the overall user experience. Unlike traditional text-based chatbots which frequently enough feel impersonal and limited in scope, a hyper-realistic virtual assistant mirrors human interaction in manner that’s more natural and intuitive. This leads to higher user satisfaction and more effective communication, making it better suited for more complex interactions, particularly in addressing customer queries on technological solutions.This visual component enhances engagement considerably, making the interaction more memorable and resulting in more positive outcomes. The technology also facilitates multilingual support.

Q: beyond customer interaction, how can generative AI solutions help optimize internal team workflows and enhance collaboration within companies like Baker Hughes?

A: Internal workflows greatly benefit from generative AI assistants in various ways. Firstly, AI assistants can analyze vast amounts of data to identify trends, predict potential problems, and proactively suggest solutions. This prevents costly delays and downtime caused by equipment malfunctions or inefficient processes. Secondly, these digital assistants can handle routine tasks, freeing up employees to focus on more strategic and complex issues. Consider the time saved in answering frequently asked questions,providing access to relevant documentation,or even creating initial reports. This streamlined approach to routine processes leads to higher overall organizational productivity and improves internal collaboration.

Q: Let’s talk about implementation. What are the key factors companies should consider when adopting generative AI assistants such as JenAii™?

A: Here’s a step-by-step approach for a successful integration of generative AI:

Needs Assessment: Carefully define your specific needs and goals for the implementation of a generative AI solution.

Data Preparation: Ensure the quality and integrity of your data for effective AI training and accurate responses.

Technology Selection: Choose the appropriate AI platform and tools depending on the scale and requirements.

Integration: Seamlessly merge the generative AI system with existing infrastructure and workflows.

Training and Monitoring: Provide adequate training for users and continuously monitor performance for improvement.

Security and compliance: Implement robust measures to uphold data security and regulatory compliance.

Q: What are some of the potential challenges with implementing such technologies? Are there any risks associated with over-reliance on automation in this field?

A: While generative AI offers immense potential, it’s crucial to be aware of potential challenges. Data bias in training data can lead to inaccurate or unfair results. Ensuring data diversity and fairness during the model training phase is crucial.moreover, the initial investment cost and the need for technical expertise to manage this sophisticated system can be a hurdle for some organizations. mitigating the risks associated with over-reliance on automation is crucial. Human oversight and the capacity to override AI decisions are essential to maintain safety and address any potential errors.

Q: Looking ahead, what future developments can we expect to see in the field of generative AI within the energy sector?

A: The future of generative AI in energy promises even more advanced applications. We can anticipate:

Enhanced Predictive Maintenance: More accurate predictions of equipment failure, minimizing costly downtime.

Advanced Automation: Full automation of many aspects of oil and gas production, increasing efficiency and safety.

Personalized Customer Experiences: Hyper-personalized interaction tailored to individual customer needs.

Improved Environmental Monitoring: More efficient detection and remediation of environmental hazards.

generative AI represents a transformative technology with the potential to reshape the oil and gas industry’s operations and customer relationships. By carefully addressing the challenges while embracing its potential, businesses can unlock tremendous efficiency gains and create a more lasting future. We encourage you to share your thoughts and experiences in the comments below!