Evidence-based Voice AI for Digital Lenders

Deploy multilingual voice agents for servicing and credit management—built with deterministic flows, compliance guardrails, and full auditability.

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Loved by customers

24/7 autonomous debtor outreach no hiring, no ramp-up

Thousands of overdue accounts handled in parallel

Lower cost per recovery by design

AI agents resolved 1,082 debtor cases in parallel — €97,400 saved

Outcomes that improve unit economics

Higher coverage, same team
Automate repetitive call types so humans focus on complex, later-stage cases.

Faster market rollout
Copy best-performing flows and policies from one country/brand to another

Operational visibility
Analytics and QA signals to identify edge cases, failures, and improvement opportunities.

Lower compliance risk
Mandatory disclosures and forbidden language enforcement by design.

Why lenders struggle to scale voice operations

1

Compliance drift at scale: disclosures missed, prohibited phrasing, inconsistent handling.

2

High-volume repetitive intents: balance, due dates, payment methods, disputes.

3

Fragmented policies and knowledge: slow rollouts across markets and brands.

4

Low visibility into edge cases: vulnerable customers, disputes, fraud cues, language switching.

5

Vendor friction: engineering dependency for updates, hourly maintenance fees, integration overhead in telephony/CCaaS.

Hello 👋 I’m Emils, co-founder of Convershake

Let me know if you have any questions

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Evidence-based onboarding → controlled deployment → continuous improvement

Ingest evidence

Import calls + SOPs + policy docs.

01

Map ideal flows + edge cases

Define flows, repair patterns, and scoped knowledge.

02

Deploy with guardrails

Disclosures, policy constraints, audit logging.

03

Improve continuously

Analytics → gap detection → approved releases.

04

Language quality that holds up in real markets

-> Market/language variants for greetings, disclosures, and policy phrasing

-> Language switching behavior built into flows and repair patterns

-> Voice tuning support (pronunciation, numbers, dates, amounts, pauses)

Compliance-first by design

Convershake enforces policy guardrails while keeping every interaction traceable.

1

Disclosure engine (by market/call type/borrower status)

2

Forbidden language detection (multilingual patterns)

3

Vulnerable customer handling triggers and required responses

4

Audit pack: recording + transcript + flow version + policy version + tool calls

Convershake is not a loan origination system or credit decision engine. Payment credentials are handled via PCI-compliant flows with external providers.

GDPR compliance

Encrypted at rest

TLS 1.3 encryption

24/7 customer support

GDPR compliance

Encrypted at rest

TLS 1.3 encryption

24/7 customer support

ISO 27001 Certified

Independently audited by BMC Certification for information security management. Our ISMS ensures your data is protected with industry-leading security controls.

Data encryption

Access controls

Incident response

Continuous monitoring

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Frequently Asked Questions

How do you ensure compliance?

Convershake enforces compliance through mandatory disclosures configured by market/call type, forbidden language detection with multilingual pattern matching, and comprehensive audit packs that include recordings, transcripts, flow versions, policy versions, and all tool calls.

Can we control the flow?

Yes. Convershake uses deterministic flows where you define every step, branch, and decision point. All changes go through an approvals workflow with full versioning, ensuring controlled releases to production.

How do you prevent 'black box' behavior?

The LLM interprets natural language and handles variations, but flows execute deterministically. Business logic is never invented by the model—it follows your defined paths, policies, and guardrails.

How do you handle multilingual borrowers?

We support language variants for greetings, disclosures, and policy phrasing per market. Language switching behavior is built into flows and repair patterns, with voice tuning for pronunciation, numbers, dates, and amounts.

How do integrations work?

Convershake integrates with telephony/CCaaS for routing and dialing, CRMs for profile access and outcome writing, identity systems for configurable authentication, and servicing/payment platforms for balance lookups and secure payment links.

Do we need engineers to make changes?

Business users can edit flows directly through our Conversation Studio. Integrations are managed with standard connectors. Engineering support is available for custom requirements but not required for day-to-day operations.

How do you handle long pauses?

Voice tuning includes turn-taking controls and silence patterns. You can configure pause thresholds, prompts for engagement, and graceful exit paths when silence exceeds defined limits.

Do you support voicemail?

Yes. Convershake detects voicemail and silence patterns, then executes configured actions—whether that's leaving a message, terminating the call, or routing to a callback queue to avoid wasted minutes.

What does onboarding look like?

Our evidence-based approach starts with ingesting your actual calls, SOPs, and policy documents. We map ideal flows and identify edge cases, then deploy with guardrails. The platform continuously improves through analytics and gap detection.