1. What is the impact of genAI on engineering productivity?

Generative AI impacts productivity for businesses across industries by automating routine tasks, reducing errors, and speeding up development. This lets your team focus more on strategic and innovative tasks, increasing productivity and efficiency.

2. How can AI be used for engineering?

AI-assisted engineering has extensive applicability. It can be utilized in various areas such as streamlining workflows, data analysis and insights, software design and development, testing, debugging, and maintenance.

3. Does genAI improve cycle time, and how does it differ from non-AI-assisted projects?

Yes, genAI can significantly improve cycle time by automating and speeding up multiple stages of the project cycle. This contrasts non-AI-assisted projects that require manual effort and are often slower and more error-prone.

4. Are there any challenges associated with the implementation of genAI?

The challenges associated with genAI implementation can include change management, the learning curve associated with new technologies, and the need for the initial setup and configuration. However, these are common challenges when adopting any new technology and we will be happy to guide you in addressing them.

5. Can you provide AI coaching for our teams?

Yes, we provide comprehensive AI coaching, as we believe in empowering your team with the skills to leverage AI effectively. This includes workshops, coaching, learning materials, and documentation to help your team understand and effectively utilize genAI.

6. How does your team evaluate the impact of genAI?

Our team evaluates the impact of genAI by measuring various metrics like productivity, error rates, and cycle times before and after genAI adoption. We also monitor user engagement and run proficiency analytics to gauge improvements.

7. How do you ensure that my intellectual property is protected?

We will sign an NDA before the start of any project discussions. Our NDAs and MSAs fully address IP protection aspects. As a software engineering and consulting company, we deliver work for hire, meaning that all the IP remains the legal property of the client. All our communication goes through secure channels without interference from unauthorized third parties.

8. Do you build software that is compliant with the GDPR, HIPAA, and other international standards?

We follow all compliance standards that apply to all technology scopes: Anti-Money Laundering (AML), Know Your Customer (KYC), Federal Information Security Management Act (FISMA), HIPAA (Health Insurance, Portability and Accountability Act), General Data Protection Regulation (GDPR), and Payment Card Industry Data Security Standard (PCI DSS).

9. Who is a generative AI engineer?

A generative AI engineer is a professional who designs, trains, and deploys machine learning models capable of generating new data, such as text, images, audio, or video. They have expertise in areas like deep learning, natural language processing, and computer vision. Their responsibilities include data preparation, model architecture design, training optimization, output evaluation, deployment, and addressing ethical considerations.

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generative AI engineering services

Enhance your software engineering teams' efficiency by up to 42% with our EngX GenAI Adoption program — a productivity booster available to businesses of all sizes.

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key facts about
our GenAI Adoption program

12 weeks

pilot program run

30-42%

productivity gain

40+

programs implemented

10+

AI platforms in our toolkit

cost-efficient development, testing & more

By fostering efficient technical practices, genAI can drive faster time to value, making a notable improvement in your overall cost structure.

less rework on software applications

By anticipating potential issues, genAI tools significantly reduce the likelihood of software application rework, enhancing the overall output quality.

reinvestment in new features & efficiency

GenAI-driven efficiency can free up substantial resources, facilitating the development of new features and driving innovation.

top genAI use cases
we work with

Generative AI is a powerful technology, lending itself to numerous applications within the software development lifecycle. Here’s where EPAM’s team can help you drive up to 42% productivity gains:

test code generation & maintenance

Generative AI systems can automate the process of test code generation, simplifying and streamlining consistent creation and maintenance of test environments.

application logic implementation

In application development, genAI can be used to develop, refine and implement complex application logic, driving efficiency and robustness in your applications.

third-party integration

GenAI can automate and streamline integration with third-party systems and services, ensuring seamless compatibility and reliable performance.

requirement analysis and improvement

GenAI can also support business analysis, helping to refine and improve requirements by predicting potential challenges and offering solutions ahead of time.

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GenAI Adoption program:
our success stories

up to 15% more productive engineering with GitHub Copilot

We improved our client’s engineering team efficiency using GitHub Copilot, minimizing rework to 17% and increasing code review acceptance rate from 14% to 30%.

We offered support using our GenAI Adoption framework
We provided training and coaching to key roles
We measured productivity impact of GitHub Copilot
Up to 15% individual productivity boost achieved

up to 36h of team time saved daily with SDLC throughput optimization

We helped the client adopt strategies to improve team throughput, saving up to 36h of team time daily.

We ran a 3-month program involving 100+ participants
We provided a dedicated genAI consulting team for training and coaching
We implemented manageable monitoring of genAI adoption and productivity outcomes
We successfully established the GenAI Ecosystem

up to 34% faster cycle time with genAI tools

Through EPAM's 12-week program, several measures were implemented to enhance our client’s team productivity:

We ran a 12-week program involving 26 participants
Our genAI consultants provided support, training, coaching and monitoring
We effectively developed the client’s GenAI Ecosystem
Development velocity was boosted up to 34%

partner with us to start your AI-assisted engineering journey

key components of
our GenAI Adoption framework

Our GenAI Adoption framework is based on EPAM’s Engineering Excellence program, combining the best of AI and software engineering practices for optimal outcomes.

productivity measurement & use cases

Leverage our AI technology for team productivity measurement, accelerated project execution, and high-quality software delivery. Our use cases highlight successful system integration and cycle time reduction.

AI coaching & training

Stay ahead with our customized AI coaching and hands-on training sessions driven by our AI experts. Enhance proficiency and confidence in using AI tools among your team.

AI-powered SDLC model

Optimize and automate your SDLC with our artificial intelligence-powered approach. Benefit from efficient resource allocation, improved project visibility, and better quality control.

rollout approach

Our strategic rollout approach uses needs analysis, customized AI plan development, and robust implementation support to seamlessly adopt AI capabilities.

long-term playbook

Ensure sustainable growth and competitiveness with our long-term playbook to establish an AI-driven culture and continually adapt to AI changes.

ROI assessment

Measure your tangible benefits from AI investment with our comprehensive ROI assessment, evaluating cost savings, efficiency gains and overall business impact.

book a free consultation

how we measure
AI adoption KPIs & productivity gains

user engagement

We gauge the level of user engagement as an indicator of improved efficiency. Increased user involvement often signifies streamlined workflows and heightened productivity.

AI proficiency analysis

We gain insights into genAI usage patterns, task completion times, and overall project progress by conducting regular proficiency analytics. These data points are essential for measuring productivity gains.

productivity impact assessment

Our productivity impact assessment offers a comprehensive review of your current work output. To determine productivity improvements, we measure time savings, increased accuracy and overall efficiency.

choose your genAI Adoption program options

We offer two primary options for implementing our GenAI Adoption program. Choose yours based on your readiness and requirements. Our consultants are here to advise on the best option as well.

configurations

The first step is to set up and configure genAI tools, paving the way for pilot adoption and familiarizing with the new technology.

training and coaching

We conduct specialized training and coaching sessions to augment your team's coding skills and productivity.

baseline metrics analysis

Before progressing further, measuring your current performance levels is essential. This baseline metrics analysis provides valuable insights into potential areas for improvement and measures the impact of genAI.

productivity use cases

We gather productivity use cases to tailor the use of genAI, ensuring that it fits seamlessly into your existing processes and ultimately meets your distinctive objectives.

get started with genAI

This structured pilot program includes configuring a custom genAI toolset, expert coaching and hands-on workshops, leading to enhanced productivity and process optimization. The holistic plan enables you to leverage AI and prepare for scaling it across your organization. The program runs for 12 weeks in total, with the stages overlapping for faster value delivery:

setup: 2 weeks

Configuration of genAI toolset
Measurement of initial metrics
Identifying limitations
Setup of the delivery pipeline
Engaging the team

coaching: 10 weeks

Curated learning materials
Workshops
Hands-on coaching
Accumulation of use cases
Interactive metrics tracking

delivery: 12 weeks

Plan rollout
Delivery metrics & adoption analysis
Pipeline model adjustments
Library for use cases
Productivity gain monitoring

leverage the power of genAI to streamline your software engineering

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frequently asked questions

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