AI quality and conversation analytics built for regulated contact centers.
Banks, fintechs, lenders, insurers, and BPOs serving them all run on the same hard problems: 100% scoring under regulatory scrutiny, multi-language CEE coverage, and compliance signals that reach risk teams in hours — not weeks. Ender Turing was built around them.
across regulated queues
across banking deployments
vs. quarterly audit baseline
(of 24 supported)
Banking contact centers run on rules, samples, and overdue audits
The problems we hear week after week from heads of operations, QA leads, and risk teams are remarkably consistent. Sampling 3% of calls. Eight different scorecards for eight subsidiaries. Coaching that catches up two weeks too late.
And on top of that, the regulators keep raising the bar. Every disclosure missed by an agent on a Wednesday afternoon is potentially a finding in next quarter's audit — and there's no way to know until it's already in the spreadsheet.
Manual sampling misses systematic issues
Reviewing 3% of calls means 97% of customer interactions go unanalysed. Recurring misselling patterns, agent-specific compliance gaps, and emerging customer pain points all surface only at quarterly review — too late to act.
Compliance signal arrives weeks late
By the time a missed APR disclosure or wrong cooling-off statement makes it into a QA report, the call is two weeks old. The agent doesn't remember the context, and risk & compliance can't act before the next audit cycle hits.
Multi-country teams use eight different rubrics
Each subsidiary keeps its own QA scorecard in Excel. Group leadership has no apples-to-apples view of customer experience across markets, and every consolidation effort dies on the spreadsheet.
Coaching loop kills momentum
Average lag between a problematic call and the coaching conversation is 11–14 days. By that point the agent has had 200 more calls and the original moment is gone. Coaching feels reactive, abstract, and unfair.
Cross-sell & retention opportunities walk out the door
Sales-trigger phrases ("I'm switching banks", "we're consolidating accounts") fly past unnoticed in 95% of calls. Retention teams hear about churned customers from the CRM, not from the conversation that signalled it weeks earlier.
Six banking workflows we power, end to end
Same platform, different cuts of the data. Each use case below comes with a customer reference and a measured outcome — ask us for the deck.
Retail desk & account servicing
Score every retail call against your full QA rubric — greeting, identity verification, problem framing, empathy, closing. Automated dashboards by team lead, branch, and product.
- 100% call coverage at scale
- Self-review portal for agents
- Playback timestamps on every score
Card services & dispute handling
Track resolution quality, fraud-flag follow-up adherence, and chargeback handling against bank-specific procedures. Catch repeat-issue customers and surface root-cause categories.
- Dispute-flow compliance tracking
- Repeat-contact root-cause analysis
- Fraud-protocol verification
Retail & consumer lending
Real-time alerts when mandatory APR statements, cooling-off rights, or data-processing consent are missed. Risk & compliance acts the same day, not at quarterly review.
- APR & cooling-off detection
- GDPR consent verification
- Misselling pattern detection
Collections & recovery
Score collections calls for compliance with debt-collection codes, identify high-promise vs. low-promise patterns, and replicate winning agent behaviour through targeted coaching.
- FCA / local code compliance
- Promise-rate prediction signals
- Aggressive-tone detection
Fraud & security desk
Verify that authentication scripts are followed exactly, that high-risk requests trigger the right escalation flow, and that suspicious-activity reports include all mandatory data points.
- Authentication-script adherence
- Escalation-flow verification
- Social-engineering pattern alerts
Cross-sell, retention & voice of customer
Flag retention triggers, detect cross-sell openings agents missed, and feed verbatim customer language back to product, marketing, and risk teams as structured data.
- Retention-trigger detection
- Missed cross-sell opportunity logs
- Topic-clustering for product teams
Built for regulated banking from the first deployment, not retrofitted
Every customer interaction handled by Ender Turing is processed inside an SOC 2 Type II environment, with EU data residency available on Enterprise plans, and a real-time compliance-rule engine that catches missed disclosures the same business day.
Our customers' regulators include the National Bank of Hungary, Polish KNF, the Croatian HANFA, and counterparts across CEE. We share audit-ready evidence packs on request.
SOC 2 Type II
Independently audited. Latest report available under NDA on request.
EU data residency
Frankfurt & Warsaw regions. Data never leaves the EU on Enterprise.
Card-data redaction
PAN and CVV automatically redacted from transcripts and indices.
On-premise option
Full deployment in your own VPC or data centre — no cloud round-trip.
Right-to-erasure workflow
One-click GDPR erasure with full audit trail across all derived data.
Single Sign-On
SAML 2.0 and OIDC. Active Directory and Azure AD supported.
Hungarian and Bulgarian get the same model attention as English
Built in Europe, for Europe. Every model release is benchmarked across all production languages — your Belgrade desk doesn't get a worse experience than your London one.
"For a bank operating across eight countries, the question isn't 'do we have AI for QA?' — it's 'do we have one consistent picture across all of them?' That's what changed for us with Ender Turing. One platform, one rubric, eight languages, every call."
See what 100% banking-grade QA looks like on your conversations.
30-minute call with a deployment lead who's worked with banks. We'll map your existing process and send back a written rollout proposal — what's realistic in your first 90 days, what compliance evidence we'll deliver.