Clients /
wealth management

From 30-minute prep to 5: Driving more meetings and growth with Agentforce

See how a leading asset management firm increased advisor engagement, reduced meeting prep time by over 80%, and drove measurable growth by embedding AI directly into Salesforce.

About the customer

This leading North American asset manager supports a nationwide network of financial advisors, helping them deliver investment solutions to clients.

Its distribution teams are responsible for growing relationships across thousands of advisors, balancing the need to expand into new relationships while deepening engagement with existing ones. As the business scaled, so did the complexity of managing advisor data, engagement signals, and sales activity across territories.

When data exists, but action is slow

The organization had a robust Salesforce environment and access to rich data, including advisor activity, engagement history, and product interactions. However, turning that data into timely, actionable insight was a challenge.

Sales teams relied on static call lists, segmentation models, and manual research to decide who to contact and how to prepare. Meeting prep required reviewing notes, analyzing purchase history, and checking engagement across systems, often taking 20 to 30 minutes per advisor.

Follow-up after meetings added additional friction. Reps needed to log notes, assign tasks, and draft emails, all within limited time between meetings.

As a result:

  • Reps spent too much time navigating data instead of engaging advisors
  • Outreach was reactive rather than signal-driven
  • Meeting quality and follow-through varied across the team

The business needed a way to help sales teams focus on the right advisors, at the right time, with the right message, without increasing administrative burden.

The Zennify Solution

Clouds implemented

Sales Cloud, Data Cloud, Agentforce, Marketing Cloud Account Engagement, Einstein Next Best Action

Systems integrated

Salesforce CRM, advisor engagement data, AUM and product activity signals, Marketing Cloud engagement data

Systems replaced

Static call lists, manual advisor research, fragmented meeting prep workflows, manual follow-up processes

Third-party applications

Tableau, Data Cloud integrations, AI-driven advisor intelligence and workflow automation

Core capabilities delivered

AI-driven advisor prioritization
Sales teams receive daily recommendations based on advisor engagement, AUM trends, and product activity. Instead of relying on static lists, reps can focus on advisors showing real signals of opportunity or risk.

Instant meeting intelligence
Agentforce generates advisor summaries, highlighting key context, engagement history, and opportunities, along with suggested agendas. Meeting preparation that once required reviewing multiple systems is now available in a single view.

Automated follow-up and task management
Reps capture quick notes, and Agentforce generates structured summaries, assigns follow-up tasks, and drafts emails, ensuring consistent execution while keeping all actions user-approved and compliant.

Unified data and signal integration
CRM data, marketing engagement, and fund-level signals are brought together into a single experience, giving teams a complete view of advisor activity and intent.

Results at scale

10%

Increase in advisor meetings year over year

18%

Growth in gross sales within target segments

5 minute

Average meeting prep time, down from 30 minutes

From time in the system to time with advisors

With Agentforce embedded into Salesforce, sales teams now start each day with clear priorities and actionable insight. Instead of spending time searching for information, they can focus on engaging advisors with relevant, timely conversations.

Meeting preparation is faster and more consistent, giving every rep access to the same level of insight regardless of experience. Follow-up is streamlined, ensuring that commitments are captured and completed without adding administrative work.

The result is a shift in how the team operates: less time in Salesforce, more time in the field, and more meaningful advisor interactions.

Looking ahead: From advisor insight to enterprise intelligence

With a strong foundation in place, the organization is expanding its use of AI beyond individual advisor interactions.

The next phase focuses on:

  • Aggregating insights across territories
  • Identifying trends and opportunities at the business level
  • Supporting executive decision-making with predictive analytics

By combining Agentforce with Tableau and Data Cloud, the organization is evolving from advisor-level intelligence to enterprise-wide insight, enabling faster, more informed strategic decisions.

“Agentforce has fundamentally changed how our teams operate. We’re spending less time in Salesforce and more time in front of advisors, having better, more relevant conversations. What used to take 20 to 30 minutes of preparation now takes five, and that efficiency is directly translating into more meetings and stronger growth.”

Ready to reduce meeeting prep time by 80%?