Agentic AI Workflow Design
For Banking & Finance
- AED 18,000
- 4-Day Executive Residency
- Dubai , U.A.E. | 15th-18th June 2026
Download Programme Brochure
What are Agentic AI workflows?
Agentic AI workflows are carefully designed AI systems capable of autonomously executing and coordinating enterprise operations, decisions, and actions dynamically in real time.
The competitive advantage of autonomous systems will not come from AI tools alone, but from the ability to operationalize them safely, reliably, and at scale through structured workflow and decision design.
Poorly designed autonomous systems risk fragmented automation, governance failures, operational inconsistency, and limited value realization.
This four-day program equips leaders to move beyond LLM chatbots and off-the-shelf AI tools and toward designing agentic systems that reliably run business workflows.
Grounded in real-world application and Ambeone’s proprietary GORDAL framework ©, the program enables the design of multi-agent workflows and decision systems tailored to organizational context, independent of specific tools or platforms.
Most AI programs focus on tools. This program focuses on operational architecture.
Traditional AI courses often revolve around:
- prompts
- chatbot interaction
- AI vendors
- isolated automations
- surface-level workflow overlays
This programs approaches AI from an entirely different perspective.
Participants explore how autonomous operational systems are actually engineered across the enterprise through:
- explicit decision logic
- structured escalation systems
- multi-agent coordination models
- governance-aware workflow design
- operational reasoning structures
- AI-native process re-engineering
The programme treats AI not as the operational system itself, but as one component embedded within a broader architecture of enterprise execution.
Because autonomous workflows must be tailored to industry-specific operational realities and decision structures, this residency focuses primarily on the BFSI sector.
- Banking & Financial Services
- Risk & Compliance
- Insurance & Claims
- Enterprise Operations
Participants will explore guided enterprise agentic workflow examples across areas such as:
- Real-Time Fraud & AML Escalation
Imagine an AI system that continuously monitors transactions, detects suspicious behavioral patterns, coordinates sanctions and compliance checks, and autonomously escalates high-risk cases across banking workflows. - Multi-Agent Compliance Monitoring
Explore how specialized AI agents can coordinate across policies, regulations, audit requirements, and operational systems to continuously monitor compliance and trigger corrective actions. - Autonomous Credit Decision Systems
Understand how agentic workflows can support credit assessment, risk evaluation, document verification, approval routing, and exception handling across lending operations. - Human-in-the-Loop Escalation Systems
Learn how enterprise agentic systems determine when decisions should remain autonomous, when additional verification is required, and when escalation to human oversight becomes necessary.
These guided examples, along with additional enterprise scenarios, will be deconstructed throughout the residency to demonstrate how enterprise-grade autonomous workflows are architected, governed, and operationalized.
Designed for leaders driving operational transformation and enterprise AI adoption.
- CTOs & CIOs
- COOs & Operations Leaders
- Heads of AI / Data / Transformation
- Banking & Financial Services Executives
- Strategy & Innovation Leaders
- Enterprise Architecture Teams
- Process Excellence & Workflow Leaders
- Senior Decision Makers Responsible for AI Strategy
The program combines:
- in-person 4 days workshop
- real world case studies
- cross functional multi agentic AI scenarios
- guided simulations
The programme is intentionally designed as:
- non-coding
- software agnostic
- operationally focused
- executive-level
Locations Offered In
- Dubai, U.A.E.
Dr. Nishant Das
Ph.D. in Management (Finance), IESE Business School
Visiting Doctoral Researcher, UC Berkeley
B.Eng. Nuclear Engineering, McMaster University
AI strategist and enterprise systems researcher specializing in autonomous decision systems, workflow orchestration, behavioral AI, and operational intelligence.
Management consultant with over 15 years of experience leading enterprise AI transformation, probabilistic decision systems, NLP, and operational analytics initiatives across the GCC region.
Ms. Nita Mathur
B.Sc. Statistics, Gold Medalist
PGDM (MBA), Indian Institute of Management Calcutta
Senior management professional and corporate trainer with over 35 years of experience across executive education, business transformation, e-commerce, organizational strategy, and business process reengineering initiatives.
Extensive experience in corporate training, operational management, and enterprise process improvement.
