AI that a bank board can defend.
VoxID unifies AML monitoring, salami-slicing fraud detection and an agentic AI contact centre on one auditable platform — with live, Power BI–class intelligence for the C-suite and the regulator.
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- STP rate0.92
From rule-based alerts to explainable AI typologies.
Traditional AML systems drown analysts in noise — 90%+ false-positive rates are not unusual. VoxID layers behavioural baselining, network analytics and voice-biometric verification on top of your existing rules engine, so every alert arrives with a rationale, a risk score and a recommended next action.
- Structuring & smurfing detection
- Round-trip & layering graphs
- PEP / sanctions screening
- Beneficial-owner risk scoring
- Trade-based ML indicators
- Mule-account clustering
- STR/SAR auto-drafting
- Regulator-ready audit trails
- Suspicious tx velocity0.46
The AML command centre.
Switch perspectives the way a Tier-1 analyst does — from the global alert queue, into a single typology, all the way down to the case file.
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- STRUCTAcct 4471·22 · 14 deposits ≤ KES 99,5000.91
- PEPWire to sanctioned BO match (87%)0.87
- MULECluster of 23 fan-in beneficiaries0.82
- TBMLInvoice over-valuation · LC #884120.74
- Suspicious tx velocity0.46
Catch the invisible thousand cuts.
Salami-slicing attacks siphon tiny amounts — fractions of a cent on interest postings, rounding remainders on FX conversions, micro-debits across millions of dormant accounts — that individually fall below every alerting threshold. VoxID's anomaly engine watches the aggregate behaviour of beneficiary accounts, GL suspense buckets and rounding journals to surface the pattern before it becomes a board-level incident.
Three signals turn noise into evidence.
Each slice is invisible; the pattern is not. VoxID stacks behavioural, network and ledger evidence and only escalates when all three converge.
- Loss trend+406% YoY
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- Loss trend-94% YoY
Agents that act, not just answer.
A VoxID agent authenticates the caller by voice in under 8 seconds, retrieves the right context from your core banking and CRM, executes the transaction with policy-aware tool use, and hands a clean summary to a human only when the situation truly requires it. The result: fewer security questions, lower AHT and a measurable lift in first-contact resolution.
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- VOICEVerified · balance shared7s
- AGENTStop-payment executed11s
- ESCALATEHigh-risk → humanreview
A call, end-to-end, in under 30 seconds.
Follow the same call your floor manager hears every day — from ring to resolution — and watch the Power BI deflection chart fill in real time.
- 10s · RingCaller routed; voiceprint capture begins on the first 'hello'.
- 27s · AuthVoice + device + behavioural score → silent pass. No security questions.
- 311s · IntentAgentic NLU classifies: 'stop payment on card ending 4471'.
- 416s · Tool useAgent calls core banking API; policy guardrail confirms limit & dual-control.
- 522s · ActionCard blocked, replacement ordered, dispute case opened, SMS sent.
- 628s · WrapCompliance-graded call summary written to CRM; QA score 96/100.
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- Self-service deflection
- First-contact resolution
- Compliance score
- Resolution rate0.84
A Power BI-class view your CEO will actually open.
Every signal — AML, fraud, contact centre, channel adoption — flows into a single, drill-down executive dashboard with branch, region and product slices.
- Resolved by AI / hr0.92
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- STP rate0.92
A Tier-1 East African bank, 12 months in.
Anonymised numbers from a production VoxID deployment across 142 branches, 4.1M customers and a 380-seat contact centre.
"VoxID gave us, for the first time, an AML and contact-centre view our board could actually act on. Inside one quarter we cut analyst backlog, killed a salami-slicing pattern that had run for two years, and reduced AHT without losing a single compliance point."
Adjust the assumptions. Watch NPV and payback update.
Proof a regulator and a CISO can both sign.
Every claim above is backed by documented controls, third-party assurance and a model-governance regime designed for supervised banking environments.
Voiceprints encrypted at rest (AES-256) and in transit (TLS 1.3). Tenant-isolated KMS keys. Data residency on request (KE, ZA, AE, EU).
Every model decision, prompt, tool call and human override is captured with cryptographic hash chaining. Exportable for regulators in <60s.
Versioned models with documented training data, bias testing, drift monitoring and a four-eyes change-approval workflow.
Pre-mapped controls for Kenya DPA, GDPR, CBK Risk Mgmt Guidelines, FATF 40 recommendations and Basel operational-risk reporting.
Built for every team that touches the customer.
- Voice verified call centre
- Account balance self service
- Stop payment automation
- Loan eligibility checks
- Dormant account activation
- Fraud monitoring
- AML alerts
- Customer onboarding
- Diaspora verification
- High value transaction confirmation
- Member verification
- Loan balance inquiry
- Savings balance inquiry
- Loan eligibility check
- Guarantor verification
- Member support automation
- Fraud alerts
- Board level analytics
- Branch performance dashboard
- WhatsApp member self service
- Reduce average handling time
- Reduce security questions
- Authenticate before agent engagement
- AI call summaries
- Agent assist
- Smart escalation
- Complaint routing
- SLA tracking
- Quality monitoring
- AML monitoring
- Suspicious pattern detection
- Voice mismatch reports
- Audit trails
- Investigation case management
- Regulatory reporting support
- Role based access
- Approval workflow