Home About Events Exclusive AI SDLC workshop for BFSI C-level executives in NYC

90

min of engaging and interactive sessions

30

executives from Fortune 500 companies

1

hour of post-session conversation and networking

Workshop topic: “A practical framework for evaluating AI agents and accelerating enterprise modernization”

Join Microsoft and Grid Dynamics for a private executive workshop that explores how AI agents can reduce technical debt to zero for BFSI enterprises, not through a one-time migration, but by continuously modernizing your tech stack with the quality, reliability, and governance that regulated environments demand.

We’ll start with the foundations of AI agent evaluation, covering practical frameworks and lessons learned from actual deployments:

  • Evaluation methodologies: How to choose between deterministic, model-based, and human-in-the-loop evaluation methods, and what each reveals about agent performance.
  • Failure modes and quality drift: How to identify degradation in long-running, tool-augmented, and research-style agents.
  • Multi-agent orchestration: Where and how to evaluate performance across complex, multi-step workflows.
  • RAG systems and prompt reliability: Discerning systemic flaws from design errors.

Next, we’ll show how these frameworks are applied to build quality-assured agentic modernization flows that safe and continuously running:

  • Modernization Planning: Ensuring agents produce comprehensive, risk-aware modernization strategies, not confident guesses.
  • Modernization Execution: Designing agent workflows with self-validation, functional equivalence testing, and atomic rollback so correctness is proven, not assumed.
  • Continuous improvement: Deploying agents that autonomously refactor, harden, and document code over time, with feedback loops that catch drift before it becomes new debt.
  • Governance: Audit trails, blast radius limits, tiered human review, and regulatory-ready oversight that don’t just mitigate risk but make agents better with every cycle.

You’ll gain insights from real financial services implementations, learn what works (and what doesn’t), and leave with usable frameworks to help your teams deploy AI agents that eliminate technical debt. Following the main session, please join us for a social hour featuring complimentary food and beverages.

Agenda

3:30 PM 4:00 PM

Arrival and Registration

4:00 PM 4:10 PM

Welcome and Opening Remarks

4:10 PM 4:40 PM

Keynote Presentation: “From pilot to production: a practical framework for evaluating AI agents and accelerating enterprise modernization”

4:40 PM 5:00 PM

Panel discussion: “Quality at scale – challenges in AI agent evaluation.”

5:00 PM 5:10 PM

Networking Break

5:10 PM 5:30 PM

Breakout session: “Client Perspective: risks, realities, and lessons learned.”

5:30 PM 5:40 PM

Summary & Q&A

5:40 PM 5:45 PM

Closing Remarks & Next Steps

5:45 PM 6:30 PM

Networking Reception

REGISTER NOW

Speakers

Photo of Mike Richter

Mike Richter

Principal Partner Solution Architect

Exclusive AI SDLC workshop for BFSI C-level executives in NYC
Photo of Murli Buluswar

Murli Buluswar

Head of Analytics, US Personal Bank

Exclusive AI SDLC workshop for BFSI C-level executives in NYC
Nikita Ivanov photo

Nikita Ivanov

VP of Technology, AI

Exclusive AI SDLC workshop for BFSI C-level executives in NYC
Pat Converse

Pat Converse

Senior Director Hyperscaler Partnerships

Exclusive AI SDLC workshop for BFSI C-level executives in NYC
Pavel Azaletskiy photo

Pavel Azaletskiy

Senior Director Cloud & DevOps Practice

Exclusive AI SDLC workshop for BFSI C-level executives in NYC
Suresh Nageswaran photo

Suresh Nageswaran

Senior Director of Technology, Financial Services

Exclusive AI SDLC workshop for BFSI C-level executives in NYC

Mike Richter

Principal Partner Solution Architect

Mike Richter is a Principal Partner Solution Architect in Microsoft Enterprise Partner Solutions, where he helps strategic partners design, build, and commercialize modern cloud and AI solutions on Azure. With over 25 years spanning software engineering, product ownership, architecture, and DevOps leadership, he bridges executive priorities with hands‑on delivery. In recent years, Mike has been at the forefront of helping partners integrate AI into real-world solutions and applications, translating emerging capabilities into practical architectures, demos, and scalable delivery motions.

Murli Buluswar

Head of Analytics, US Personal Bank

Murli Buluswar has built a reputation in the financial services and insurance sectors as an executive focused on delivering material data driven innovation by connecting imagination with data insights, operating knowhow, and guiding cross-functional collaboration. His most recent role is Head of U.S. Personal Banking Analytics (USPBA) at Citibank. Murli’s mission was to lead his team to be “bold thought leaders, driven by scale outcomes – guided by commercial curiosity, data, and learning.” In this capacity, he has implemented material financial alpha outcomes through business analytical insights, data science intelligence, and AI enabled Automation. Prior to Citi, Murli was a Senior Advisor to The Boston Consulting Group (BCG), the Chief Science Officer at AIG (member of its Operating Committee), Head of Insight & Innovation at Farmers Insurance, Product Manager at Progressive Insurance, and a statistician at Capital One. He studied Economics & Statistics (Auburn University) and has an MBA from Chicago Booth School of Business. A former member of the United Guaranty Corporation Board of Directors, Murli currently sits on The Steering Committee for The James Kilts Center of Marketing at the University of Chicago’s Booth School of Business. Previously Murli advised the Head of the Monetary Authority of Singapore (MAS), the founders of Netradyne, and Wondeur.ai, and was an Executive-In-Residence at Columbia University. Murli is a noted speaker on AI enabled innovation in mature industries. He is an avid strategy board game player and enjoys racquet sports and adventure travels.

Nikita Ivanov

VP of Technology, AI

Nikita is a technology executive and product-driven innovator with over 25 years of global leadership across AI, software engineering, and digital transformation. Product-centric leader with extensive experience in developing new software middleware and GenAI/LLM/RAG/AI Agentic products, managing software engineering & data science teams, and nurturing product evolution throughout all stages of its lifecycle. Frequent international speaker and Forbes Technology Council member, long-time startup mentor, advisor and investor, active open source contributor, Java/Scala founding community member. Recognized expert and authority on distributed high-performance data processing. Industry innovator in NLP and GenAI/Agentic, reinforcement learning and deterministic AI/ML. Global thought leader in In-Memory Computing. Expert in programming languages, design and compiler development. Trusted advisor to boards and executive teams on AI strategy, national digital transformation, and workforce innovation.

Pat Converse

Senior Director Hyperscaler Partnerships

Senior Technology Consulting Executive and digital innovator with 25+ years in tech and digital engineering consulting experience. Has led global tech consulting and advisory practices at Accenture/Avanade and several PE backed firms.Industry expertise includes Oil & Gas, manufacturing, Aerospace, Retail/CPG, and High Tech.

Pavel Azaletskiy

Senior Director Cloud & DevOps Practice

Leads practices across Cloud, DevOps, and AI-augmented SDLC. He has helped global enterprises modernize legacy systems, embed AI across engineering workflows and embrace outcome-based delivery models. Pavel brings 20 years of cross-sector experience, including a decade building financial capabilities for telecom and payment providers, and another decade driving operational excellence and delivery transformation for large service providers. His consulting expertise spans operating model design, performance optimization, and intelligent operations across BFSI, retail, and technology sectors. He combines deep technical fluency in AI, classical ML, and simulation with pragmatic business acumen to deliver measurable impact at scale.

Suresh Nageswaran

Senior Director of Technology, Financial Services

Suresh Nageswaran works with clients in Wealth Management, Capital Markets, and Banking with a focus on AI-driven, cloud-native solutions. He specializes in applying advanced analytics, semantic search, and bitemporal architectures to complex problems in private markets, portfolio construction, and regulatory compliance. With deep experience across structured products, payments, and alternative investments, he bridges business strategy and hands-on engineering. As an active thought leader, he frequently writes and speaks on topics such as Total Portfolio Approach, private-market data challenges, and agentic AI systems.

Intended audience

This workshop is designed for:

C-suite and senior technology leaders in BFSI (CTO, CIO, CDO, CAIO, CRO, CCO)

Heads of AI, Data, and Machine Learning

Senior leaders responsible for AI governance, risk, and production quality

Executives overseeing enterprise-scale AI platforms and agent-based systems

Why should you attend?

  • Hear insights about AI risk management and governance from experienced professionals at Microsoft and Grid Dynamics
  • Explore tested approaches to evaluating AI agents
  • Understand how to effectively govern AI beyond the pilot phase
  • Connect with peers facing the same challenges
  • Engage in off-the-record executive dialogue
 

Location

The Harvard Club of New York, 35 W 44th St, New York, NY 10036
United States

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