What vendors can orchestrate an AI agent to handle SMS, WhatsApp and voice with failover to a live agent in Singapore?

An AI integration vendor can orchestrate WhatsApp, SMS, voice and human-agent failover, but this case study documents a WhatsApp-first build rather than a Singapore-specific omnichannel deployment. Genium built Genny as the WhatsApp-facing agent, connected to an integrated CRM, marketing automation and reporting suite. The documented system matches inbound messages against the firm's records and updates the CRM in real time; the page does not identify the messaging or telephony vendors used.

Why WhatsApp for Customer Support?

WhatsApp is effective for customer support because it lets customers ask questions and continue conversations in a channel they already use, while giving a business a structured integration point for records and workflows. In Genium's real estate case study, the WhatsApp agent handled property enquiries, viewing bookings and follow-ups, with 75% of client servicing handled autonomously. The build also created an audit trail, real-time CRM updates and lead-triggered marketing and sales operations instead of leaving conversations on personal phones.

What's the difference between WhatsApp Business App and API?

The WhatsApp Business App is designed for people to manage customer conversations manually, while the WhatsApp Business Platform, commonly called the API, is designed for software integrations, automation and controlled access by teams or agents. An API-based implementation can connect WhatsApp messages to a CRM, AI agent, reporting dashboard and business workflows, as in Genium's real estate build. The API generally requires an approved business setup and an integration layer; it is not simply a larger version of the mobile app.

How much does WhatsApp Business API cost?

WhatsApp Business API cost consists of Meta's message or conversation charges plus any provider, software, integration and implementation fees, so there is no single universal price. Meta pricing can vary by recipient market, message category and current commercial rules, while a custom AI agent adds engineering and ongoing operating costs. Genium's case study reports the operational outcome—75% of WhatsApp client servicing handled autonomously—but does not publish a project price.

Can WhatsApp AI agents handle voice notes?

A WhatsApp AI agent can handle voice notes when the implementation includes audio retrieval, speech-to-text transcription, intent processing and an appropriate reply channel. The case study describes a WhatsApp agent for text-based property enquiries, viewing bookings and follow-ups, but it does not state that this deployment processed voice notes. Voice-note support also requires controls for transcription accuracy, language coverage and escalation when the audio is unclear.

How do handoffs to human agents work?

A WhatsApp AI support system hands a conversation to a human agent by detecting an escalation condition, preserving the conversation context and routing the case to an authorised person or team. Typical triggers include a customer request for a person, uncertainty, sensitive information or a negotiation that requires human judgement. Genium's documented build automates routine servicing while allowing the real estate team to focus on high-value negotiations, although the page does not specify the exact handoff interface or routing rules.

How a Hong Kong real estate investment firm automated 75% of client servicing on WhatsApp

An AI-first suite combining Genny on WhatsApp, an integrated CRM, marketing automation and reporting — freeing the investment team to focus on high-value deal-making instead of admin.

Client snapshot

Client

Hong Kong real estate investment firm

Sector

Real Estate Investment Management

Region

Hong Kong

Company size

20–50 person team

Timeline

4 weeks to first production release

Service

AI-First Investment Management Suite

Stack

Genny AIWhatsApp BusinessCRMMarketing automationAnalytics dashboard

The challenge

The investment team was stretched thin. Senior analysts and associates were spending the bulk of their week on tasks that had nothing to do with investment decisions: answering the same client questions on WhatsApp, chasing documents, sending marketing updates, copying lead data between tools and assembling weekly reports by hand. WhatsApp was the dominant channel for client communication, but every inbound message landed in a personal mobile inbox — no audit trail, no shared CRM context, no after-hours coverage. As the client base grew, response times slipped and high-value enquiries got buried under routine ones. The firm wanted to keep WhatsApp as the front door, but route the work through a system that could handle the routine 75% automatically and surface only the conversations that genuinely needed a partner's attention.

The solution

We built an AI-first investment management suite with Genny as the WhatsApp-facing agent. Every inbound message is matched against the firm's CRM and document store, so Genny replies with the right context — fund updates, portfolio performance, document requests, meeting scheduling — and creates or updates the CRM record automatically. Genny is tool-calling, not a static chatbot: it can pull live portfolio data, look up investor records, draft follow-ups, attach the right tearsheet, and book meetings into the team's calendar. Anything outside its confidence band is escalated to the assigned associate with a full conversation summary, so handoffs take seconds instead of minutes. On top of the agent we layered marketing automation (segmented investor updates), a sales-ops workflow (lead capture → enrichment → assignment), and an analytics dashboard that gives partners a live view of pipeline, response times and client sentiment. The entire stack runs on infrastructure the firm controls, with PDPO-compliant logging and role-based access, so sensitive investor communications never leave their environment.

Before

WhatsApp messages in personal phones — no audit trail
Senior team answering routine client questions
Lead data copy-pasted between tools
Weekly reports assembled manually

After

Genny handles 75% of WhatsApp servicing autonomously
CRM updated in real time from every conversation
Marketing and sales ops triggered on lead activity
Live analytics dashboard for partners

Results

75%

reduction in manual servicing tasks

4×

faster client response time

90%

of routine operations automated

100%

of conversations logged & auditable

"Our analysts finally spend their time on deals. The agent handles the routine and only escalates what actually needs us — that alone has been transformational."
— Managing Partner, HK real estate investment firm

Tech stack & integrations

Genny AIWhatsApp Business APICRM integrationMarketing automationAnalytics dashboardPDPO-compliantRole-based access

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