Beyond Chatbots: How Agentic AI scales AUM and Liberates Advisors in 2026 – What does this FinSight Series webinar talks about?
This on-demand webinar explains how wealth and asset management firms are using agentic AI to move beyond chatbots and pilots into production-grade automation. It focuses on real-world applications across onboarding, client servicing, compliance, and reporting, showing up to 90% reduction in manual processes. The session includes a live demo and practical frameworks for scaling assets under management (AUM) without increasing headcount.
What is Agentic AI in Financial Services?
Agentic AI refers to autonomous AI systems that can execute multi-step workflows across enterprise systems without constant human prompting.
In wealth and asset management, agentic AI is used to:
- Automate onboarding workflows
- Handle client servicing tasks
- Support compliance and audit processes
- Generate and distribute reporting outputs
Unlike chatbots or copilots, Agentic AI performs end-to-end operational execution, not just assistance.
Why Wealth Management Firms Are Moving Beyond Chatbots
Most financial institutions are still stuck in:
- Chatbots for client interaction
- Copilots for internal productivity
- AI pilots that never reach production
These approaches fail because they do not:
- Integrate across workflows
- Automate full processes
- Deliver measurable operational ROI
Leading firms are now shifting to agentic AI systems embedded in core operations.
Proven Impact of Agentic AI (Real Outcomes)
Firms implementing agentic AI in wealth management are achieving:
- Up to 90% reduction in manual operational work
- Faster client response times
- Improved compliance consistency
- Scalable operations without hiring additional staff
- More audit-ready and standardized workflows
What This Webinar Covers (On-Demand)
This session provides practical, real-world insights into AI transformation in financial services.
You will learn:
- Why 2026 is the inflection point for agentic AI adoption
- How wealth managers are deploying AI agents in production
- Real-world Salesforce + AI use cases in financial services
- How to transition from AI pilots to enterprise-scale systems
- Live demonstration of autonomous AI agents in action
- Key operational and governance considerations
What You Will Get
After accessing this webinar, you will receive:
- Full on-demand recording
- Key insights and frameworks
- Practical AI implementation examples
- Guidance for scaling AI in financial services
- Access to future sessions
Key Insight
The financial services industry is shifting from AI experimentation to autonomous execution systems.
The firms that succeed will be those that operationalize agentic AI across core workflows—not those stuck in chatbot and pilot-stage implementations.
📥 Access the Webinar
Watch the full on-demand session to see how leading firms are scaling AUM with agentic AI.
Access recording below:
Frequently Asked Questions
What is agentic AI in wealth management?
Agentic AI refers to autonomous systems that execute workflows such as onboarding, servicing, compliance, and reporting without manual intervention.
How is agentic AI different from chatbots?
Chatbots respond to queries. Agentic AI executes complete business processes across systems.
What is the business impact of agentic AI?
Typical outcomes include up to 90% reduction in manual work, faster turnaround times, and scalable operations without hiring.
Is this relevant for Salesforce users?
Yes. Many implementations integrate directly with Salesforce to automate CRM-driven workflows.
🏦 About Navirum
Navirum helps financial institutions implement Salesforce-based AI and agentic automation systems that move beyond experimentation into production-scale execution.
Focus areas:
- Wealth and asset management transformation
- AI-driven operational automation
- Scalable enterprise AI architecture
- Measurable business impact delivery
Join the conversation