A Singapore securities firm with 200,000 active trading accounts deployed Instadesk’s AI chatbot to automate customer inquiries about account balances,trade ations,and regulatory disclosures.Results after six months:support costs reduced by forty-five percent,agent headcount decreased by thirty percent,and customer satisfaction increased by twenty-five percent.This case study details the firm’s challenges,solution,and outcomes.
Customer Background and Pain Points
The firm provided online brokerage services to retail and institutional clients.Its call center received thirty thousand calls monthly,with sixty percent being routine inquiries:account balance,trade settlement status,dividend payment dates,and regulatory disclosure forms.Agents spent an average of four minutes per call.Labor costs were high,and turnover among junior agents was thirty percent annually.The firm needed an automated solution that could handle financial terminology,integrate with its trading system,and comply with Monetary Authority of Singapore(MAS)regulations.
The Solution: AI Chatbot for Labor Cost Reduction
The firm deployed Instadesk’s AI chatbot on its website and mobile app.Key features included:
•Integration with the trading system for real-time account and trade data.
•Instant balance and trade ation lookup.
•Automated answers to MAS-required disclosure questions.
•Seamless escalation to licensed advisors for complex inquiries.
•24/7 availability,reducing after-hours staffing needs.
Implementation and Results
Deployment took three weeks using Instadesk’s finance template.After six months:
•Call volume to human agents dropped from thirty thousand to sixteen thousand five hundred per month,a forty-five percent reduction.
•Agent headcount reduced from thirty to twenty-one,a thirty percent decrease,saving SGD 400,000 annually.
•Automation rate reached sixty-five percent for routine inquiries.
•Customer satisfaction increased from seventy percent to eighty-seven percent.
•The firm passed an MAS audit with full chat transcripts and audit trails.
Key Lessons for Securities Firms
•Automate high-volume,low-complexity inquiries first:balance,trade status,dividend dates.
•Integrate with trading systems for real-time data;batch updates cause delays.
•Ensure compliance disclosures are built into chatbot responses.
•After-hours automation captures inquiries that would otherwise wait until morning.
How Instadesk Enables Labor Cost Reduction
Instadesk’s chatbot integrates with trading systems via prebuilt connectors.Pre-trained financial intents include balance inquiry,trade ation,dividend status,and regulatory disclosure.Real-time analytics show automation rate and cost savings.Pay-as-you-go per-conversation pricing has no per-seat minimum,directly aligning costs with usage.
Conclusion
This Singapore securities firm proved that an AI chatbot dramatically reduces labor costs while improving compliance and customer satisfaction.Other financial institutions can achieve similar results with Instadesk’s solution.Start with a free trial.
