By Sagar Shankaran, Founder of CallSphere
Navigate MAS calling compliance for Singapore financial firms covering Notice SFA 04-N16, PDPA consent, and AI voice agent regulatory guidance.
Key takeaways
The Monetary Authority of Singapore (MAS) is Singapore's central bank and integrated financial regulator. MAS regulates all financial institutions operating in Singapore, including banks, insurers, capital markets intermediaries, financial advisers, and payment service providers. Its regulatory approach to telephone communications combines prescriptive rules (Notices and Regulations) with principles-based expectations (Guidelines and Circulars).
Singapore's position as a global financial center — with over 200 banks, 700 capital markets intermediaries, and 250 insurance companies operating in the jurisdiction — makes MAS communication compliance a priority for international financial groups. In 2025, MAS imposed SGD $28.7 million in financial penalties, with communication and record-keeping failures contributing to 41% of enforcement actions.
MAS Notice SFA 04-N16 (Notice on Recording of Communications) applies to holders of Capital Markets Services (CMS) licenses and requires the recording and retention of communications relating to specified activities.
flowchart LR
CALLER(["Client or Lead"])
subgraph TEL["Telephony"]
SIP["Twilio SIP and PSTN"]
end
subgraph BRAIN["Financial Services AI<br/>Agent"]
STT["Streaming STT<br/>Deepgram or Whisper"]
NLU{"Intent and<br/>Entity Extraction"}
TOOLS["Tool Calls"]
TTS["Streaming TTS<br/>ElevenLabs or Rime"]
end
subgraph DATA["Live Data Plane"]
CRM[("CRM and Notes")]
CAL[("Calendar and<br/>Schedule")]
KB[("Knowledge Base<br/>and Policies")]
end
subgraph OUT["Outcomes"]
O1(["KYC pre-fill done"])
O2(["Funding instructions sent"])
O3(["Compliance officer<br/>escalation"])
end
CALLER --> SIP --> STT --> NLU
NLU -->|Lookup| TOOLS
TOOLS <--> CRM
TOOLS <--> CAL
TOOLS <--> KB
NLU --> TTS --> SIP --> CALLER
NLU -->|Resolved| O1
NLU -->|Schedule| O2
NLU -->|Escalate| O3
style CALLER fill:#f1f5f9,stroke:#64748b,color:#0f172a
style NLU fill:#4f46e5,stroke:#4338ca,color:#fff
style O1 fill:#059669,stroke:#047857,color:#fff
style O2 fill:#0ea5e9,stroke:#0369a1,color:#fff
style O3 fill:#f59e0b,stroke:#d97706,color:#1f2937
Specified activities include:
Under Notice SFA 04-N16:
MAS Guidelines on Fair Dealing establish five fair dealing outcomes that directly impact telephone communications:
Outcome 1: Customers have confidence that they deal with financial institutions where fair dealing is central to the corporate culture.
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Outcome 2: Financial institutions offer products and services that are suitable for their target customer segments.
Outcome 3: Financial institutions have competent representatives who provide customers with quality advice and appropriate recommendations.
Outcome 4: Customers receive clear, relevant, and timely information to make informed financial decisions.
Outcome 5: Financial institutions handle customer complaints in an independent, effective, and prompt manner.
The PDPA requires organizations to obtain consent before collecting, using, or disclosing personal data, including call recordings:
For MAS-regulated firms, the typical approach is:
The Personal Data Protection Commission (PDPC) can impose financial penalties of up to SGD $1 million per breach. The 2021 amendments introduced a higher penalty tier of 10% of annual turnover for organizations with annual turnover exceeding SGD $10 million.
Notable call recording-related PDPC enforcement:
The PDPA (Part IX) establishes Singapore's Do Not Call Registry, which financial firms must check before making telemarketing calls:
Not all calls from financial institutions are telemarketing calls. The following are typically exempt from DNC requirements:
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MAS's Technology Risk Management (TRM) Guidelines apply to AI voice agents used by financial institutions:
MAS's Principles for the Ethical Use of AI (expanded in 2024) establish expectations for AI systems in financial services:
Financial institutions deploying AI voice agents in Singapore should:
CallSphere's AI voice agent platform is designed with MAS compliance built in, including mandatory AI disclosure announcements, configurable human escalation triggers, complete interaction recording, and bias monitoring dashboards.
During on-site inspections, MAS examination teams typically:
Based on published MAS enforcement actions and industry feedback, common findings include:
MAS Notice SFA 04-N16 requires recording of communications relating to specified capital markets activities. For other financial services (banking, insurance, financial advisory), recording requirements are derived from the broader obligation to maintain adequate records and internal controls under the respective MAS Acts and Notices. Best practice for all MAS-regulated entities is to record client-facing calls and retain them for a minimum of 5 years.
Yes, but with conditions. MAS's AI guidelines require transparency (disclosing the AI nature of the interaction), fairness (non-discriminatory treatment), accountability (the firm remains responsible for AI actions), and robustness (reliable performance). All AI voice interactions must be recorded and retained under the same framework as human interactions, and customers must be able to escalate to human agents.
MAS has a range of enforcement tools: reprimands, directions, composition offers (fines), prohibition orders (banning individuals from the industry), and revocation of licenses. Financial penalties under the Securities and Futures Act can reach SGD $1 million per offense for individuals and SGD $2 million for corporations. PDPA violations carry additional penalties of up to SGD $1 million or 10% of annual turnover. In severe cases involving fraud or market manipulation, criminal penalties including imprisonment apply.
Singapore's multilingual environment requires that recording and monitoring systems accommodate language switching. Recordings must capture the full conversation regardless of language. Compliance monitoring programs should include reviewers with relevant language capabilities (Mandarin, Malay, Tamil, and other common languages). AI-powered transcription and analysis tools should support multilingual processing. CallSphere's platform supports 50+ languages with automatic language detection and multilingual transcript generation.
Written by
Sagar Shankaran· Founder, CallSphere
Sagar Shankaran is the founder of CallSphere, where he builds production AI voice and chat agents deployed across healthcare, hospitality, real estate, and home services. He writes about agentic AI, LLM engineering, and shipping voice agents that handle real calls in production.
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