AI Strategy & Implementation

I help organisations move from AI experimentation to production systems — designing and building RAG pipelines, agent workflows, and decision-support tools

About

Elena Sedova


Technology executive with 15+ years building and scaling digital businesses.


  • McKinsey (9 years, Digital)
  • Managing Director, VEON (fintech and corporate investments)
  • CEO, technology ventures firm

Wharton MBA. MSc Computer Science.


I now work at the intersection of AI strategy and hands-on implementation — designing and building systems such as RAG pipelines, agent workflows, and multi-agent orchestration.


Open to consulting engagements and advisory roles.

What I do
My work includes:

  • Designing RAG systems over internal data
  • Building agent workflows for research, operations, and decision-making
  • Structuring multi-step AI processes using multiple models
  • Identifying high-impact AI use cases and taking them to pilot

Examples

  • Virtual Boardroom System
    Multi-agent system simulating stakeholders with different objectives (finance, risk, operations). Used to stress-test decisions and automatically generate board-ready outputs.
  • RAG
    Knowledge System
    Retrieval system over internal documents integrated with messaging interfaces for real-time use
  • AI Strategy for European Bank
    Defined AI use-case roadmap and prioritisation framework. Shortlisted three cases handed over for a pilot and further implementation (confidential client)
Focus
I work primarily with:

  • Financial institutions
  • Private equity and portfolio companies
  • Enterprise environments with complex decision-making and fragmented data
Contacts

elena@lindendigit.com


linkedin.com/in/elena-sedova