By Sagar Shankaran, Founder of CallSphere
Ensure AML/CFT calling compliance with this guide covering transaction monitoring, suspicious activity reporting, and communication audit trails.
Key takeaways
Anti-Money Laundering (AML) and Countering the Financing of Terrorism (CFT) regulations have traditionally focused on transaction monitoring, customer due diligence, and suspicious activity reporting. However, regulators worldwide have increasingly recognized that voice communications are a critical data source for detecting and investigating financial crime.
The Financial Action Task Force (FATF) Recommendation 11 requires financial institutions to maintain records of all transactions and communications sufficient to reconstruct individual transactions and comply with information requests from competent authorities. In practice, this means that every phone call related to a financial transaction, account inquiry, or investment decision may fall within the scope of AML/CFT record-keeping requirements.
In 2025, global AML enforcement actions totaled $6.2 billion in fines, with communication surveillance failures cited in 34% of enforcement orders. The message from regulators is clear: inadequate communication monitoring is an AML compliance failure.
FATF Recommendation 11 requires financial institutions to maintain:
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
Voice communications that relate to transactions fall squarely within the "records necessary to reconstruct individual transactions" requirement. A verbal instruction to execute a trade, transfer funds, or modify account details is a transactional record.
When call monitoring reveals indicators of money laundering or terrorist financing, financial institutions are obligated to file Suspicious Activity Reports (SARs) or Suspicious Transaction Reports (STRs) with their national Financial Intelligence Unit (FIU).
Key call-based red flags:
Financial institutions must establish internal controls including:
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The BSA requires financial institutions to:
FinCEN's 2025 guidance on communication monitoring explicitly states that financial institutions with telephone-based customer interactions must include call recordings and transcripts in their transaction monitoring programs. Institutions relying solely on transaction data without corresponding communication analysis are considered to have a "significant gap" in their AML program.
Penalties: Civil penalties up to $1 million per day of violation; criminal penalties up to $500,000 and 10 years imprisonment per willful violation.
The 6th Anti-Money Laundering Directive (6AMLD) and the upcoming Anti-Money Laundering Regulation (AMLR) establish:
The Anti-Money Laundering Authority (AMLA), operational from 2025, will directly supervise the highest-risk financial entities across the EU and has indicated that communication monitoring effectiveness will be a key supervisory focus.
The UK's MLR 2017 (as amended) requires:
MAS Notice 626 on Prevention of Money Laundering and Countering the Financing of Terrorism requires:
AUSTRAC requirements include:
At minimum, financial institutions must:
Limitation: Manual review is resource-intensive and typically covers only 1-5% of total call volume, leaving significant gaps in monitoring coverage.
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Automated keyword detection can flag calls for human review:
Improvement over Tier 1: Automated flagging typically increases monitoring coverage to 15-30% of call volume while reducing false negatives.
AI-powered call analysis platforms provide the most comprehensive monitoring:
CallSphere's AI-powered call analytics platform provides Tier 3 monitoring capabilities with pre-built AML/CFT detection models trained on regulatory enforcement patterns. The platform integrates with existing transaction monitoring systems to provide a unified view of customer activity across both communication and transactional channels.
For each recorded call, maintain the following metadata:
When a suspicious call triggers a SAR/STR filing:
AML/CFT communication compliance training should cover:
Not necessarily all calls, but your monitoring program must be risk-based and cover a sufficient proportion of calls to be effective. Calls involving high-risk customers, large transactions, PEPs, customers from high-risk jurisdictions, and new account openings should receive priority monitoring. Regulators expect your monitoring coverage to be proportionate to your risk exposure.
AI transcription and analysis can significantly enhance monitoring coverage and efficiency, but current regulatory expectations still require human oversight. AI should be used to flag and prioritize calls for human review, not as a complete replacement. The AML compliance officer must retain ultimate decision-making authority for SAR/STR filing decisions.
AML/CFT obligations constitute a legal obligation that provides a lawful basis for processing call recordings under GDPR Article 6(1)(c) and equivalent data protection frameworks. However, you must still apply data minimization principles — monitor only what is necessary for AML purposes, restrict access to authorized compliance personnel, and retain recordings only for the mandated periods. Your privacy notice should inform customers that calls may be monitored for regulatory compliance purposes.
Regulators evaluate whether your monitoring program is reasonable and effective, not whether it catches every instance of suspicious activity. If a failure is due to a systemic gap in your monitoring program (e.g., no call monitoring at all, or monitoring that excludes high-risk customer segments), enforcement action is likely. If the failure occurred despite a well-designed, properly implemented, and regularly tested program, regulators may require remediation rather than imposing penalties.

Written by
Sagar Shankaran· Founder, CallSphere
LinkedInSagar 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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