Customer stories

Real teams. Real numbers. Real impact.

How banks, insurers, lenders, a BPO and a clinic network use Ender Turing to analyze 100% of their conversations, lift satisfaction and free their QA teams from manual sampling. Each story carries its own measured outcomes — no customer's numbers are borrowed by another.

Read the OTP Bank story Start free

Ender Turing conversation list for one agent: every call with its duration, comments, reviewer, reactions and score, and the Products donut showing which products the calls were about — Product screenshot — every conversation scored and commented; the same view a customer's QA team works in.

Featured story

OTP Bank: every conversation analyzed in a retail bank's contact center.

Banking · calls, chats, emails and web forms

From scoring 5% of calls by hand to every conversation analyzed — in a retail bank's contact center

OTP Bank's retail contact center serves help desk, retail and premium banking, debt collection, identity verification and customer-experience surveys. Supervisors could review about 5% of calls by hand; call categories were guessed by busy agents; coaching was a distant priority. Here is what changed when every call and chat went through Ender Turing.

Read the full story

100%Calls and chats analyzed, from a manual 5% sample
81% → 86%First call resolution
+18%Customer satisfaction (6.8 → 8.0 on a 10-point scale)

All stories

Six more deployments, in their own numbers.

Summaries validated with the customer; a full write-up is published when the customer approves one.

Fintech · AvaFin · Speech Analytics

How AvaFin cut collections call review time from 3 hours to 12 minutes per agent

A consumer-lending group operating across five markets adopted automated transcription and category tagging to spotlight risky collections behavior in real time.

93%Faster reviews
+11%Recovery rate
5Markets

Insurance · UNIQA · Quality Management

UNIQA replaced random call sampling with 100% AI-powered quality scoring

A major European insurer rolled out Ender Turing's auto-scorecards across motor and health claims lines — eliminating the QA backlog and surfacing recurring claim-handling errors.

100%QA coverage
−14%Repeat claims
3Languages

BPO · Fincollect · Behavior Analytics

Fincollect onboards new collection agents 40% faster with personalized AI coaching

Multi-tenant BPO uses Ender Turing's behavior analytics to identify high-performing agent patterns and replicate them through AI-driven coaching plans across client portfolios.

40%Faster ramp
8Client tenants
+9%Promise rate

Fintech · CreamFinance · Speech Analytics

CreamFinance lifted compliance scores by 17 points after deploying real-time keyword alerts

Pan-European online lender hooked Ender Turing into their VICIdial telephony to flag mandatory disclosures missed by agents — within seconds of each call ending.

+17Compliance pts
9EU markets
−31%Fines exposure

Lending · lendOn.pl · Agent Management

lendOn.pl boosted conversion 13% by replaying winning sales calls to underperforming agents

A Poland-based lender used Ender Turing's similar-call search to build a self-serve coaching library — top-performing call snippets surfaced automatically by topic.

+13%Loan conversion
2xCoaching speed
120+Agents

Healthcare · Regional Clinic Network · Speech Analytics + Voice Bots

A 40-clinic network cut appointment no-shows by 26% with conversational reminders and call analysis

Multi-specialty healthcare provider deployed Ender Turing for HIPAA-compliant call transcription, sentiment tracking, and outbound voice-bot reminders — across English, Spanish, and Polish.

−26%No-shows
3Languages
40Locations

Aggregate impact

What changes when every conversation is analyzed.

100%Calls automatically scored (vs. 3–5% manual baseline)Quality coverage
+19%Average lift in customer satisfactionCSAT
−15%Reduction in average handle timeAHT
68hQA hours saved per specialist per monthProductivity

Averages across our contact-center deployments — each customer's own numbers are in the case studies. Case studies →

Long reads

The case studies as the team wrote them.

How to Boost Conversion in a Healthcare Call Center60% of healthcare demand comes through call centers — but 10% is regularly lost due to appointment unavailability.
OTP Bank Case Study: how to boost customer experience in banking30% of retail banking customers use contact centers. OTP Bank achieved FCR 81%→86%, NPS 47%→62%, AHT -25%, FTE -34%.
OTP Bank Case Study: Growth in the Sales Call CenterCold calling dissatisfied customers yields near-zero conversion.

Questions evaluators ask

Before you take a story upstairs.

Which industries are these customers from?

Banks and consumer lenders (OTP Bank, AvaFin, CreamFinance, lendOn), an insurer (UNIQA), a collections BPO (Fincollect), a clinic network, medical labs (Dila Med Labs, Synevo) and customer-facing teams of every size. The industry pages go deeper: banking, insurance and healthcare.

Industry pages →

How were the results measured?

By the customer, against its own baseline before the rollout — first call resolution, handle time, NPS or CSAT, conversion. Each card states the customer's numbers only; the aggregate block is the average across our contact-center deployments and is labeled as such. No number from one customer is attributed to another.

Can I speak to a reference customer?

Yes, for a qualified evaluation — ask in the demo or through the contact form and we arrange a call with a customer in a comparable industry. Named quotes on this site come only with the person's role and company.

Book a demo →

How long until a contact center sees its first results?

From the first calls, on every plan: connect a platform or upload recordings and the managed scorecards score from the first conversation — nothing to build first. Contact centers on the Business plan add dedicated implementation engineers for connectors and their own scorecards.

How it works →

Do you work with contact centers of my size?

The stories above range from a 40-clinic network to a retail bank's contact center; the free plan covers up to 5 agents and 200 calls per agent a month with no expiry, and paid plans are per seat per month with no minimum contract.

Pricing →

Is there a full write-up behind each card?

The OTP Bank story is published in full, with its 2024 screenshots and two long reads on the blog. The other six are summaries validated with the customer; a full write-up appears when that customer approves one.

Security, hosting regions, sub-processors and response times are documented on the Data Security page; SOC 2 Type II examination completed.

Free for up to 5 agents

Want a story that looks like yours? Start with your own conversations.

Connect the platform you run or upload a week of recordings. Every conversation analyzed in seconds; the outcomes above are what customers measured after that. Free plan with no expiry.

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