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Case Study · Banking & Finance Behavioral Economics & Customer Experience

Syarikat Pelaburan Cyprus. Pembantu AI Suara & Teks untuk Pemprosesan Petunjuk dan Pematuhan

Kami telah membina pembantu AI suara dan teks berbilang bahasa untuk mengautomasikan pengendalian petunjuk merentasi telefon, WhatsApp, Telegram, sembang web dan widget terbenam. Sistem ini menyepadukan RAG, penyegerakan CRM, tempahan kalendar dan enjin pematuhan yang memastikan tiada nasihat pelaburan diberikan. AI ini mengurangkan masa pengendalian sebanyak 40–50%, meningkatkan petunjuk yang diproses sebanyak 25–30%, dan memberikan penjimatan kos gabungan serta hasil tambahan melebihi $500k/tahun.

Voice AIRAG & MCPLead Automation
Client
Wealth & Investment Firm
Industry
Banking & Finance Behavioral Economics & Customer Experience
Date
2025-12-12
Timeline

01The Impact

The results, up front.

Handling Time Reduction
50%
Increase in Processed Leads
30%
Financial Impact (Cost + Revenue)
$750k

40–50% reduction in handling time 25–30% more leads processed $200k–$250k yearly cost savings $300k–$500k in additional revenue Fully automated scheduling and lead assignment

02 — The Challenge

Where they started.

The client operated with high staffing costs and a heavy multi-channel inbound load. Compliance requirements restricted how agents answered investment-related questions, creating operational friction. We designed a conversational AI system capable of voice and text interactions, operating across all customer entry points — phone lines, WhatsApp, Telegram, widgets, and website chat. The AI used RAG-based retrieval for accurate information sharing, MCP tools for actions, and CRM integration to synchronize leads. A calendar booking module allowed fully automated meeting scheduling with advisors. A compliance engine monitored every interaction to ensure zero unapproved investment advice.

04 — Approach & Methodology

How we got there.

Lead leakage was significantly reduced by instant response handling. Call center dependency dropped because the AI correctly handled questions, collected lead details, and booked meetings automatically. Compliance controls ensured the system stayed within regulated boundaries while still providing a personalized and fast customer response.

The unified AI assistant created a consistent customer experience across all touchpoints, enabling faster conversions and reduced operational strain.

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