AI call analysis in production: four CallSea deployments

CallSea runs on live phone traffic — in sales, patient service and regulated insurance distribution. Here are four production deployments: what each company does, what the deployment covers and what analyzing 100% of calls changes compared to a random sample.

PanWybierak.pl — telecom offer sales

Profile: PanWybierak.pl is a Polish comparison site for internet, TV and telephony offers — the only one authorized by the national telecom regulator (UKE). The service doesn't stop at comparison: agents help customers pick an offer available at their address and close the order over the phone — paperwork, installation date, activation.

Context: high volumes of sales calls across many parallel carrier campaigns. Call quality translates directly into conversion, and an imprecise presentation of offer terms (post-promo price, contract length, technology coverage) is a straight path to complaints and churn.

What the deployment covers:

• transcription of 100% of sales calls — no sampling,
• per-campaign scorecards: needs discovery, offer presentation accuracy, closing,
• critical errors — e.g. claims inconsistent with the carrier's offer, flagged the same day with a transcript quote,
• dashboards per agent and campaign plus scheduled reports for sales leaders.

What it changes: an agent's evaluation no longer depends on which recording got sampled — feedback is built on full-traffic trends and specific quotes, and offer errors surface within hours, not weeks.

Poliseo.pl — regulated insurance distribution

Profile: Poliseo.pl is an insurance comparison platform — motor (MTPL/casco), life, health, property and travel — with a team of advisors who help customers choose a policy over the phone.

Context: phone-based insurance distribution is a regulated environment: a call must include a customer needs analysis (per the IDD directive) and a fair presentation of terms and exclusions. Compliance of every call is not optional — yet manual review verifies only a fraction of traffic.

What the deployment covers:

• analysis of 100% of advisor calls for compliance and quality,
• compliance checklists: recording disclosure, needs analysis performed, terms and exclusions presented,
• critical-error rules for mis-selling risks — same-day alerts linked to the call,
• quality scoring with rationale and quote, verified by the quality team (a human always has the final say).

What it changes: compliance monitoring covers full traffic instead of a sample, the quality team gets documented coaching material, and regulatory risks are visible immediately.

getmed.pl — medical plans across clinic networks

Profile: getmed.pl combines multiple private clinic networks into a single medical subscription — over 5,000 facilities and 10,000 specialists, 850+ diagnostic procedures across plans for individuals, families and companies, plus teleconsultations and e-visits.

Context: a conversation about a medical plan demands surgical precision: test coverage, limits, facility availability at the customer's location. Any inaccuracy in a sales call comes back as a complaint at the worst possible moment — when a patient needs care.

What the deployment covers:

• 100% of sales and service calls under continuous quality control,
• scoring criteria focused on information accuracy: plan scope, terms, complete formal disclosures,
• critical errors — e.g. promising a service outside the plan's scope,
• per-agent trends and reports for team leaders.

What it changes: a consistent message across agents regardless of tenure, fewer misunderstandings about plan scopes, and coaching grounded in full-traffic data.

MedicCentre.pl — selling LUX MED and enel-med medical plans

Profile: MedicCentre.pl specializes in selling medical plans of Poland's leading private healthcare networks — LUX MED and enel-med — to individuals, families and companies. Agents help customers choose the operator, plan and scope of care over the phone.

Context: selling plans from two different operators demands double precision: scopes, limits and facilities differ between LUX MED and enel-med, and a conversation about healthcare doesn't forgive improvisation — every inaccuracy comes back as a complaint when the customer needs care.

What the deployment covers:

• evaluation of sales calls for the accuracy of information about scopes and differences between LUX MED and enel-med plans,
• sales checklists (needs discovery, operator and plan matching, complete formal disclosures) plus critical-error rules for misleading information,
• full traffic coverage with every score linked to the transcript.

What it changes: the quality and accuracy of plan information is under constant, measurable control regardless of the operator — and the team gets feedback with concrete examples instead of general impressions.