Dispatch Secures $18 Million to Boost AI Agents for Wealth Management Efficiency

Dispatch Secures $18 Million to Advance AI in Wealth Management

Dispatch, a WealthTech company, recently raised $18 million in a Series A funding round aimed at accelerating investments in AI-driven data orchestration and agentic workflows. The announcement came on September 4 and highlights the growing role of intelligent automation in wealth management.

Chris Downer, general partner at Brewer Lane Ventures and lead investor in the round, emphasized Dispatch's impact: “Dispatch is creating critical infrastructure that the wealth management industry has been missing. Their approach to data orchestration redefines how firms and FinTechs can serve clients, while giving advisers the tools to operate with speed, accuracy and efficiency.”

Dispatch’s platform focuses on automating repetitive data tasks, streamlining client onboarding, and reconciling client information across multiple systems. Over the past year, the company has rapidly expanded its client base, onboarding major firms like Mariner, Sanctuary Wealth, and Choreo, which collectively oversee over $1 trillion in assets under advisement.

The results are clear: automating data orchestration has saved firms thousands of hours in manual workflows and cut costly errors by more than 90%. For wealth management leaders, this means more reliable data, faster decision-making, and better client service.

Challenges in Adopting Agentic AI

Research shows that while most CFOs understand agentic AI—systems capable of planning, reasoning, and taking actions with minimal human input—few are ready to deploy it. Only 15% of CFOs expressed interest in integrating agentic AI, reflecting skepticism around the technology’s maturity and measurable value.

Concerns include implementation risks, oversight difficulties, and uncertain return on investment. James Prolizo, CISO at Sovos, noted, “These tools are starting to make real decisions, not just automate tasks, and that changes the game.”

Building trust in agentic AI requires safeguards like human-in-the-loop controls that allow ongoing supervision and intervention during critical decisions. For managers, balancing innovation with control is key to safely integrating AI agents into workflows.

OpenAI Unveils Jobs Platform and Certification Program to Boost AI Skills

OpenAI is launching two initiatives to support workers and businesses in an AI-driven economy: a jobs platform and a certification program. Fidji Simo, CEO of applications at OpenAI, outlined these efforts in a recent blog post.

The OpenAI Jobs Platform will connect companies needing AI-related support with skilled candidates. It will also help local businesses and governments find AI talent, extending opportunities beyond large corporations.

In parallel, the OpenAI Certification program aims to verify that employees and job seekers have practical AI skills. It will offer multiple certification levels—from fundamental AI knowledge to prompt engineering—and integrate with corporate learning and development efforts. OpenAI plans to certify 10 million Americans by 2030.

Simo acknowledged the mixed success of past upskilling programs and stressed that OpenAI is designing these efforts to meet the needs of both workers and employers effectively.

Earlier this year, OpenAI launched the OpenAI Academy, a free resource hub featuring tutorials on topics like data analysis with ChatGPT and advanced prompt engineering.

What This Means for Management Professionals

• Investing in AI-driven automation tools like Dispatch can dramatically improve operational efficiency and data accuracy in wealth management.
• Adopting agentic AI requires careful oversight and trust-building measures to ensure safe and effective implementation.
• Certifications and targeted upskilling programs, such as those from OpenAI, provide a pathway to build AI fluency within teams and attract qualified talent.
• Local businesses and governments can leverage emerging AI job platforms to find specialized skills, leveling the playing field with larger competitors.

For leaders looking to enhance AI capabilities within their organizations, exploring practical training and certification options can accelerate readiness. Resources like Complete AI Training certifications offer structured learning paths for AI automation and prompt engineering skills.

By combining AI-powered tools with well-prepared teams, management can improve decision-making speed, reduce errors, and better serve clients in a competitive landscape.