# EPAM Systems Canonical page: https://aiteamrecord.com/company/epam-systems/ > AI advisory, platform engineering and implementation for enterprise workflows. ## What this provider does EPAM Systems describes AI services that connect business assessment with platform and product engineering. Its generative AI offering includes proofs of concept, minimum viable products and support for operational adoption. Separate advisory and responsible AI services address project prioritization, data foundations and governance. The combination is relevant to organizations commissioning a business-system change that requires both software delivery and changes in how teams work. ### Choosing the first implementable use case EPAM’s advisory service begins with an enterprise assessment and workshop. It describes examining available business and industry data, identifying where information is stored and used, and prioritizing a portfolio of possible AI projects. The work is intended to connect an opportunity with the data and organizational changes needed to implement it. Its roadmap approach considers a future operating model, then works backward to a practical starting point. Data curation and knowledge management are part of the preparation. The service also includes engineer onboarding and training around AI-assisted work, with productivity measures used to evaluate adoption. Sources: [EPAM — Generative AI Advisory](https://www.epam.com/services/strategy/generative-ai-advisory) ### Moving from an experiment into a working system For a selected use case, EPAM describes developing a proof of concept with foundational data capabilities, followed where appropriate by an MVP and a scaling roadmap. This separates feasibility work from the larger task of creating an operating platform. Model research and experimentation inform recommendations about language models and custom solutions. The broader delivery offering covers data platforms, AI products and operating-model changes. EPAM identifies machine learning operations and LLMOps alongside organizational change management as part of operationalizing the result. The service page supports this lifecycle scope; a particular engagement still needs its own deliverables and support arrangement. Sources: [EPAM — Generative AI Services](https://www.epam.com/services/artificial-intelligence/generative-ai) ### Customer service in an existing operation EPAM’s published 1&1 case describes replacing parts of a telecommunications customer-service workflow with voice-enabled agents. The account says EPAM embedded specialists in the business, ran stakeholder workshops and developed the transformation and implementation approach. Microsoft Azure supplied cloud and AI capabilities. The technical account identifies DIAL as a common API access layer for language models, together with agent evaluation and conversation management in EPAM’s delivery approach. This illustrates how model access, workflow design and organizational participation fit together. It remains a provider-published example, not independent confirmation of performance or a forecast for another buyer. Sources: [EPAM — 1&1 Agentic AI Customer Service Case](https://www.epam.com/services/client-work/an-agentic-ai-customer-service-breakthrough) ### Assessing governance as part of the work EPAM offers responsible AI assessment focused on enterprise governance, policies and risk management. Its page describes reviewing systems as well as advising on how they are developed. Examples include assessing an AI document-processing application and examining data-licensing concerns in a consumer-facing system. These examples indicate an assessment-and-remediation service rather than a certification attached to every implementation. For a project involving sensitive data or consequential decisions, this work can be scoped alongside engineering so that technical changes and organizational responsibilities are considered together. Sources: [EPAM — Responsible AI Assessment and Services](https://www.epam.com/services/artificial-intelligence/responsible-ai) ### Buyer fit Teams planning a substantial AI implementation within existing enterprise systems. Smaller businesses should confirm minimum engagement size, budget, access requirements and post-launch ownership before commissioning work. ## Services and focus - Provider type: AI implementation partner; AI consultancy - Delivery mode: AI Implementation - Tasks: [Automate business workflows](https://aiteamrecord.com/tasks/automate-business-workflows/) - Industries: Not stated ## Claims and sources A listing is not an endorsement or a guarantee of delivery. Provider-reported statements are not independent verification. Not stated means unknown, not absent. Source review dates are distinct from independent verification dates. Owner claim status concerns profile control, not service delivery. ### End to end Statement: Describes proofs of concept, MVP delivery, data platforms and operational adoption. Status: Provider-reported - Source: [EPAM — Generative AI Services](https://www.epam.com/services/artificial-intelligence/generative-ai) ### Human review Statement: Not stated Status: Not stated ### Licensed signoff Statement: Not stated Status: Not stated ### Private deploy Statement: Not stated Status: Not stated ### API export Statement: Not stated Status: Not stated ### Multilingual Statement: Not stated Status: Not stated ### SLA public Statement: Not stated Status: Not stated ### Outcome pricing Statement: Not stated Status: Not stated ### Guarantee Statement: Not stated Status: Not stated ### No training on data Statement: Not stated Status: Not stated ### SOC 2 Statement: Not stated Status: Not stated ### ISO 27001 Statement: Not stated Status: Not stated ### HIPAA Statement: Not stated Status: Not stated ### GDPR Statement: Not stated Status: Not stated ### Liability named Statement: Not stated Status: Not stated ### Advisory outputs Statement: Describes enterprise assessment, workshops, prioritized use cases and an implementation roadmap. Status: Provider-reported - Source: [EPAM — Generative AI Advisory](https://www.epam.com/services/strategy/generative-ai-advisory) ### Responsible AI assessment Statement: Offers governance, policy and risk assessment with remediation planning. Status: Provider-reported - Source: [EPAM — Responsible AI Assessment and Services](https://www.epam.com/services/artificial-intelligence/responsible-ai) ### Provider case example Statement: Describes voice-agent implementation for 1&1 using Microsoft Azure and DIAL. Status: Provider-reported - Source: [EPAM — 1&1 Agentic AI Customer Service Case](https://www.epam.com/services/client-work/an-agentic-ai-customer-service-breakthrough) ## Service details - Service coverage: Not stated - Headquarters: Not stated - Languages: Not stated - Pricing: Not stated - Official website: [EPAM Systems](https://www.epam.com/) ## Profile sources and updates This profile has not been independently verified. Sources last reviewed: 2026-10-09 Content last updated: 2026-10-09T03:15:39.787Z Owner claim status: Not claimed ### Original sources - [EPAM — Generative AI Advisory](https://www.epam.com/services/strategy/generative-ai-advisory) — Provider source; checked 2026-10-09 - [EPAM — Generative AI Services](https://www.epam.com/services/artificial-intelligence/generative-ai) — Provider source; checked 2026-10-09 - [EPAM — Responsible AI Assessment and Services](https://www.epam.com/services/artificial-intelligence/responsible-ai) — Provider source; checked 2026-10-09 - [EPAM — 1&1 Agentic AI Customer Service Case](https://www.epam.com/services/client-work/an-agentic-ai-customer-service-breakthrough) — Provider source; checked 2026-10-09 Corrections: https://aiteamrecord.com/correction?provider=epam-systems Interpretation guide: https://aiteamrecord.com/methodology.md