Description:

Speaker Biography

Dushyant Sengar

Co-Founder & Partner

 Dushyant Sengar is an Author and Co-Founder/Partner at RegVizion, where he leads the Model Risk Management (MRM) and AI Governance Practice alongside the RegTech product development initiatives. He blends deep financial services expertise with cutting-edge technology to empower banks, credit unions, and Fintechs.

 With two decades of experience, he guides institutions through regulatory challenges such as SR 26-02, CECL, and Credit Risk using AI/ML, data science, MRM, and innovative governance frameworks. His career highlights include publishing a book “Modern Data Mining with Python” aimed at building and managing high-risk AI/ML systems at financial institutions, launching Natural Language Processing/GenAI products with multi-million ROI and co-leading a nation-wide MRM practice at a global Big 6 consulting firm.

 Today, Dushyant partners with financial institutions to help them adopt AI and analytics responsibly, serves on the Boards of various non-profits working in this area, enhancing model risk management and regulatory resilience while preserving sound decision-making tailored for the unique needs of community banks and beyond.

Topic

The AI systems in focus for project managers in 2026 look nothing like the predictive models of five years ago. Agentic AI systems perceive, decide, and act autonomously across tools, databases, and workflows. The risk has shifted from "the model gave a wrong answer" to "the agent took a wrong action." Over 40% of agentic AI projects are expected to be canceled within the next year due to escalating costs, unclear value, or inadequate risk controls, and 80% of organizations have already encountered risky behaviors from deployed agents. Yet most PMs are still applying traditional IT governance to systems that need fundamentally different oversight.

This session draws on two decades of governing high-risk AI systems in financial services to give project managers a practical governance toolkit for the agentic AI era. Attendees will learn how to scope an agent's "action space" and autonomy level during planning, structure human-in-the-loop checkpoints that preserve the value of autonomy, define what "done" means for a system whose outputs change with context, and monitor agent behavior post-deployment when actions evolve in ways no requirements document anticipated.

Schedule

5:30-6:00 General Networking
6:00-6:45 
     - Break-out room - Recruiter
     - Break-out room - Think Tank (0.5 PDU)
6:45-7:00 Welcome and Announcements
7:00-8:00 Presentation

Cancellations and Refund Policy:  
Full refunds will be granted if a request is submitted before the defined early bird deadline identified for the event. In addition, partial refunds of 50% of the course registration fee will be refunded if the cancellation request is received after the early bird deadline but before the day of delivery for the event. Please refer to the Refund and Cancellation Policy for additional information.

PDU
PMI Dallas Chapter Dinner meetings are 1.5-PDU events per PMI CCR guidelines. For instructions on how to claim your PDUs for this event, please go to Reporting PDUs for 1-2 PDU meetings or events.

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Questions
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