41% call connection with Voice Agent investor reactivation
An anonymous Hong Kong securities brokerage used multilingual Dyna.Ai Voice Agent engagement to restart conversations with investors, identify intent, summarize each interaction, and route relevant follow-up to relationship managers. The AI handled the first conversation; licensed human teams retained responsibility for suitability, advice, and customer decisions.
The business challenge was not simply a lack of outbound activity. Investor reactivation requires a useful next step. A brokerage must recognize whether a customer is interested, understand what prompted that interest, and give the relationship manager enough context to continue the conversation productively.
The existing process placed a high burden on a small call-centre team. Campaigns had to be designed, calls had to be conducted across languages, and interactions had to be analysed manually. A high volume of activity did not necessarily create a high volume of qualified opportunity. The brokerage needed to scale the first conversation while keeping relationship-manager attention focused on conversations that warranted human follow-up.
The challenge
Investor outreach needed more than a call list
Dyna.Ai provided a multilingual Voice Agent for the first reactivation conversation. The workflow could engage investors, identify signals such as interest in an IPO or another follow-up topic, and create a summary for the relationship manager.
The solution therefore changed the handoff, not the customer relationship itself. The AI organized outreach and intent evidence. Relationship managers received the context needed for the next conversation and retained responsibility for advice, suitability, and customer outcomes.
This is a meaningful distinction in securities operations. An Voice Agent can help a brokerage qualify interest and route a next step. It should not be described as making an investment recommendation or deciding whether a customer is suitable for a product.
The deployment
Voice Agent started the conversation; managers owned the follow-up
The workflow was designed around the brokerage’s outreach and relationship-manager process. The available evidence supports multilingual outbound conversations, intent recognition, conversation summaries, and follow-up routing. Exact CRM integration, campaign controls, language coverage, approval process, and escalation rules still need confirmation.
The operating model can be expressed in four steps: an approved investor list enters the outreach workflow; the Voice Agent conducts the first conversation; the interaction is classified and summarized; and the relevant context is routed to a relationship manager. The human team then decides what follow-up is appropriate.
The customer’s existing responsibility structure remains visible. Dyna.Ai does not replace the relationship manager, suitability process, or regulated advice. It helps the brokerage make the first interaction more scalable and the handoff more informed.
How the workflow changed
Connected calls created better investor context
Before the workflow, outbound campaigns depended on manual conversation design, execution, and analysis. After deployment, the brokerage could use Voice Agent for multilingual first contact and return structured intent evidence for human follow-up.
The reported case results included a 41% call connection rate, 44% IPO participation compared with 37% for human agents, approximately 10% funding conversion among high-intent clients, and 2.2× the daily call volume per agent. Voice Agent created the first conversation and structured the signal; relationship managers remained responsible for follow-up and customer decisions.
The results
From first contact to funded investor action
The result was a more productive investor-reengagement motion: more conversations connected, high-intent investors were easier to prioritise, and human teams received clearer context for the next commercial action.
