
AI Speech-to-Text & Sentiment Analysis: The Technology Powering Call Centre Compliance
The Technology Behind AI Call Monitoring
Understanding how speech-to-text and sentiment analysis work helps CFOs and compliance officers evaluate AI platforms. But transcription and sentiment alone aren't enough for regulatory compliance.
Regulativ combines speech-to-text, sentiment analysis, regulatory rule engines, policy compliance, and questionnaire-based validation—all while protecting customer PII through intelligent data masking.
Beyond Basic Speech-to-Text: The Regulativ Advantage
Most AI call monitoring platforms stop at transcription and sentiment analysis. Regulativ goes four layers deeper:
| Capability | Basic AI Platforms | Regulativ Platform |
|---|---|---|
| Speech-to-Text | ✅ 95% accuracy | ✅ 98%+ accuracy |
| Sentiment Analysis | ✅ Basic emotion detection | ✅ Advanced sentiment + context |
| Regulatory Rule Engine | ❌ Not included | ✅ FCA, MiFID II, SM&CR, Consumer Duty |
| Policy Compliance | ❌ Manual setup required | ✅ Custom policy enforcement engine |
| Questionnaire Validation | ❌ Not available | ✅ Automated script adherence checks |
| PII Protection | ⚠️ Full transcript sent to LLM | ✅ Intelligent data masking |
The PII Protection Challenge: Why Most AI Solutions Fail Compliance
Here's the problem with basic AI call monitoring: they send the entire transcript to large language models (LLMs) for analysis. This creates massive GDPR and data protection risks.
The Risk: Customer names, addresses, account numbers, card details, national insurance numbers, and medical information all get transmitted to third-party AI services.
The Regulativ Solution: Intelligent data masking and selective information extraction before LLM analysis.
How Regulativ Protects Customer PII
Step 1: PII Detection & Masking
- Real-time identification of sensitive data patterns
- Account numbers → [ACCOUNT_NUMBER]
- Card details → [PAYMENT_CARD]
- Names → [CUSTOMER_NAME]
- Addresses → [ADDRESS]
- National insurance numbers → [NI_NUMBER]
Step 2: Context Preservation
- Maintain conversation flow and compliance context
- Extract compliance-relevant phrases without PII
- Preserve regulatory language and script adherence
Step 3: Secure LLM Analysis
- Only masked, anonymized text sent for AI analysis
- Compliance rules applied to context, not personal data
- Zero customer PII exposure to third-party AI services
The Four-Layer Compliance Scoring System
Regulativ doesn't just analyze sentiment—we score calls across four critical compliance dimensions:
1. Regulation-Based Compliance (FCA, MiFID II, SM&CR)
- Mandatory risk disclosures verified
- Suitability assessments confirmed
- Treating Customers Fairly (TCF) principles monitored
- Consumer Duty good outcomes validated
- SM&CR individual accountability tracked
2. Policy-Based Compliance (Internal Procedures)
- Custom organizational policies enforced
- Sales process adherence monitored
- Escalation procedures verified
- Authorization requirements checked
- Product-specific rules validated
3. Questionnaire-Based Compliance (Script Adherence)
- Mandatory questions confirmed asked
- Required information collected
- Script sequence adherence tracked
- Customer responses documented
- Completeness of fact-finding validated
4. AI Technology (STT + Sentiment Analysis)
- 98%+ transcription accuracy
- Speaker diarization (agent vs customer)
- Real-time sentiment and emotion detection
- Vulnerable customer indicators identified
- Comprehension and confusion signals detected
Composite Compliance Scoring: The Complete Picture
Regulativ generates a comprehensive compliance score by combining all four layers:
| Scoring Component | Weight | What It Measures |
|---|---|---|
| Regulatory Compliance | 40% | FCA, MiFID II, SM&CR adherence |
| Policy Compliance | 25% | Internal procedure adherence |
| Script/Questionnaire | 20% | Required questions and information |
| AI Technology Analysis | 15% | Sentiment, tone, vulnerability indicators |
Result: A single compliance score that reflects true regulatory, policy, and procedural adherence—not just sentiment analysis.
Real-World Impact: Why This Matters
A major UK bank implemented Regulativ's four-layer compliance scoring system:
Case Study: Tier 1 UK Bank (12,000 Calls/Day)
Challenge: Previous AI platform provided sentiment analysis but missed 73% of regulatory violations because it only analyzed emotion, not FCA rule compliance.
Regulativ Solution: Four-layer scoring with PII protection
Results After 6 Months:
- Regulatory violations detected: ↑ 73% (previous platform missed these)
- Policy breaches identified: ↑ 84% (internal procedures now enforced)
- Script adherence improved: 67% → 94%
- Customer PII incidents: Zero (previous platform had 3 data breaches)
- FCA examination outcome: Zero findings (previous year had 12 findings)
- Annual savings: £2.3M (avoided fines + reduced manual monitoring)
Core Technologies: How Regulativ Works
Advanced Speech Recognition
- Multi-dialect support (UK, US, Australian, Indian English)
- Accent-agnostic transcription models
- Background noise filtering
- Real-time and batch processing modes
- Speaker diarization (who said what)
Natural Language Processing (NLP)
- Context-aware phrase detection
- Regulatory language recognition
- Intent classification
- Entity extraction (products, accounts, amounts)
- Conversation flow analysis
Sentiment & Emotion Detection
- Multi-dimensional sentiment analysis
- Frustration and anger detection
- Confusion and comprehension indicators
- Vulnerable customer signals
- Agent stress and tone monitoring
Continuous Machine Learning
- Models improve with every analyzed call
- Regulatory rule updates automatically applied
- False positive reduction over time
- Custom vocabulary learning
- Industry-specific terminology adaptation
Why Regulativ Outperforms Basic AI Platforms
1. Comprehensive Compliance Coverage: Regulatory + Policy + Script + AI analysis (not just sentiment)
2. PII Protection Built-In: Intelligent masking prevents data breaches and GDPR violations
3. Financial Services Expertise: Pre-configured for FCA, MiFID II, SM&CR, Consumer Duty
4. Actionable Insights: Specific violation details, not just sentiment scores
5. Audit-Ready Documentation: Complete evidence trail for regulatory examinations
The Bottom Line: Technology That Actually Protects You
Speech-to-text and sentiment analysis are just the starting point. True compliance monitoring requires:
- ✅ Regulatory rule engines that understand FCA requirements
- ✅ Policy enforcement that validates internal procedures
- ✅ Script adherence checking that confirms required questions
- ✅ PII protection that prevents data breaches
- ✅ Composite scoring that reflects true compliance risk
Regulativ delivers all five—at human-level comprehension, machine speed, and 100% call coverage.
See the Four-Layer Compliance System in Action
Discover how Regulativ's comprehensive approach protects your organization beyond basic AI monitoring.
Explore Regulativ platform | Contact us | Learn about AI agents



