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How to Choose an AI Voice Platform: The Business Security Bible

15 critical questions, GDPR requirements, and the new EU AI Act — everything executives must know before deploying an AI calling assistant to avoid fines and data leaks.

POSKAI · Gegužė 2026

How to Choose an AI Voice Platform: The Business Security Bible

TL;DR: Artificial intelligence in customer service is no longer just an innovation — it is a tightly regulated process. If you choose the wrong AI platform, you risk fines of up to 35 million euros under the new EU AI Act and GDPR violations, especially if your customers’ voice data is sent to US servers. POSKAI is the only platform in Lithuania offering 100% per-client isolation within the European Union, guaranteeing full compliance and peace of mind for your business.

Why has AI platform security become the top priority?

Lithuanian business leaders face the same dilemma every day: how to automate customer service and increase sales without breaching increasingly strict privacy requirements. Implementing an AI calling assistant is easy — the market is full of cheap, fast solutions. But ensuring that solution becomes a source of security rather than vulnerability for your company requires specific expertise.

Every vendor promises “GDPR compliance,” but 90% of them are just wrappers on top of American servers that have never heard of true data separation. This guide is your insurance policy before signing any contract. We will break down exactly what you must look for, based on the latest European case law, recommendations from the Lithuanian DPA, and real global threats.

A) Before signing the contract — a 15-question checklist for executives

This list is your shield. Do not hesitate to forward it to a potential vendor and watch the reaction. If they hesitate, delay their answers, or hide behind “corporate secrets” — run.

  1. Where are the servers PHYSICALLY located?

If data leaves the EU, you have a problem. The servers should be in Frankfurt, Warsaw, or Stockholm. This is not only a security issue, but a speed issue too — physical distance directly affects response latency. American servers mean you may be violating principles of data sovereignty. Read more here: AI Data Security: EU vs US.

  1. Is the infrastructure shared or isolated (per-client)?

Most SaaS AI platforms use shared infrastructure (shared tenancy). That means your customer conversations are processed on the same server as those of your competitors. True enterprise-grade protection requires per-client isolation (a separate environment for each client). More on why infrastructure matters: AI Voice Platform Infrastructure.

  1. Sub-Processor List — is it provided before the contract?

Under Article 28 of the GDPR, the data processor must disclose the subcontractors it uses. If a vendor cannot openly show whose models and servers it relies on, it is hiding third parties to whom your data may be transferred. This is a critical element of the GDPR Time Bomb of American AI Platforms.

  1. Are call recordings used to train models?

Never agree to a clause allowing your company’s data to be used to improve the vendor’s or third parties’ AI models. Your data belongs to you, and you should not be training someone else’s intelligence for free.

  1. What happens to the data when the contract ends? (Data portability)

The vendor must ensure the ability to securely export and irreversibly delete all data within the agreed timeframe.

  1. Is a DPIA (Data Protection Impact Assessment) carried out?

A Data Protection Impact Assessment is not just paperwork. It is a requirement of the Lithuanian DPA and the EDPB (European Data Protection Board) when deploying new high-risk technologies. A good vendor will help you prepare it.

  1. SLA (Service Level Agreement) — what guarantees are in place?

What uptime and latency does the vendor guarantee? Do not rely on “best effort.” Demand specific numbers (e.g., response time under <500ms).

  1. Incident response — how quickly do they report a data breach?

Under the GDPR, a breach must be reported to the Lithuanian DPA within 72 hours. Your vendor should inform you within 24 hours so you have time to respond. Incidents such as the Sears AI chatbot data leak prove why fast reaction matters.

  1. Prompt injection protection — has it been tested?

Bad actors may try to “hack” an AI assistant simply by talking to it, asking it to reveal internal instructions or apply an illegitimate discount. Prompt injection protection is absolutely essential.

  1. Pricing — per-minute vs fixed (hidden fees)?

Per-minute pricing sounds attractive until you receive a 3000 € invoice for unexpectedly long customer conversations or surprise LLM API charges. POSKAI offers fixed pricing from 500 €/month — everything included.

  1. Vendor lock-in — will you be able to leave?

Assess whether the processes you build are too tightly tied to a single platform ecosystem. You need freedom.

  1. AI disclosure (Transparency) — does the system identify itself as AI?

Under the EU AI Act, it is mandatory to inform the person that they are interacting with artificial intelligence before the conversation begins.

  1. Encryption — At Rest + In Transit?

All audio recordings and transcriptions must be encrypted both while traveling over the internet and while stored on disk.

  1. Audit logs — can you audit what happened?

You need detailed logs showing who accessed what data, when, and how. More here: AI Audits and Certification: 2026 Guide.

  1. Cyber insurance — does the vendor have it?

Serious IT solution providers carry insurance that covers the cost of a data breach or system downtime.

B) The EU AI Act — what it means in practice for business

The new EU Artificial Intelligence Act (Regulation 2024/1689) completely changes the rules of the game. Many companies mistakenly believe the responsibility lies only with AI developers (providers). In reality, a large share of the burden falls on you — the deployers.

  • Transparency requirements (Article 50): You must clearly inform the customer that they are speaking with artificial intelligence. Trying to “pretend to be human” not only destroys trust, but directly violates the law.
  • Risk categories (Article 6): Customer service conversations usually fall into the limited-risk category. But if your system starts assessing employee emotions or profiling people based on biometrics, it becomes a high-risk system requiring CE marking and continuous auditing.
  • Fines that can destroy businesses: Violations of the AI Act carry enormous penalties — up to 35 million euros or up to 7% of total worldwide annual turnover. Read more here: EU AI Act 2026 for Business.
  • Human oversight: You must ensure that AI decisions can be reviewed, evaluated, and, when necessary, overridden by a competent human.

C) GDPR specifics for AI voice systems

Processing personal data through voice is significantly more complex than through text. A voice can reveal emotional state, health conditions, or nationality. That is precisely why GDPR requirements are applied especially strictly here.

Sub-Processor List (Article 28)

If your chosen AI vendor sends voice data to one company, transcriptions to another, and analytics to a third, it must have signed data processing agreements (DPAs) with each of them and publicly disclose this list. Without a clear list, your company is in breach.

DPIA requirement (Article 35)

If you plan to analyze the content of conversations (for example, evaluating customer segments), carrying out a DPIA (Data Protection Impact Assessment) is mandatory. EDPB guidelines and recommendations from the Lithuanian DPA state that any systematic profiling using artificial intelligence requires the highest level of safeguards.

US Cloud Act vs EU Data Sovereignty

If your vendor uses US-based cloud servers, your data falls under the jurisdiction of the US Cloud Act. That means US security agencies may demand access to your Lithuanian customers’ data without an EU court order. This cuts directly against EU data sovereignty policy. You need a solution that guarantees 100% dependence on EU legal jurisdiction only.

D) Red flags: how to spot an insecure vendor

If you notice even one of these signs during negotiations, stop the process:

  • They hide the Sub-Processor List: The phrase “we use the world’s most advanced global models” often translates to “we send your customer data to cheap servers in Asia or the US.”
  • Their ToS disclaims responsibility: If the terms of service say “We are not responsible for GDPR compliance,” it means all liability falls on your shoulders.
  • Data travels through the US: This is a direct Schrems II violation risk.
  • The price is too cheap: Voice and AI technology cost money. If the offer looks unbelievably cheap, you are the product. Read our comparison: POSKAI vs Retell, Bland and Vapi.

E) POSKAI as the benchmark: an example of how it SHOULD be done

POSKAI was built around the highest security standards, with a clear understanding of the needs of Lithuanian companies, especially in the transport and logistics sectors. We do not offer compromises at the expense of security:

CriterionPOSKAI (EU Benchmark)Typical US SaaS wrapper
Server locationFrankfurt / Warsaw / StockholmNorthern Virginia, US (Cloud Act risk)
InfrastructurePer-client isolationShared tenancy (shared pool)
Sub-Processor ListProvided openly before contract signingHidden, constantly changing
Prompt injection protectionBuilt in and testedDoes not exist (left to the client)
PricingFrom 500 €/month (everything included)Hidden per-minute and LLM API fees

Choosing an AI voice platform means choosing a strategic partner with whom you entrust your customers’ secrets. Do not let cheap promises cloud your analytical thinking. Demand transparency, clarity, and 100% European infrastructure. We invite you to choose those who have made security their foundational value.

Frequently asked questions

Why is it not enough for a vendor to simply say “we are GDPR compliant”?

Most US platforms claim compliance, but hide the fact that they use servers outside the EU, thereby risking violations of EU data transfer principles and exposure to the Cloud Act. You must demand evidence, certifications, and a public Sub-Processor list.

What does “per-client isolation” mean and why does it matter?

It is an architectural model in which your company’s data and AI processes operate in an environment that is physically or logically separate from other clients. This eliminates the risk of data cross-contamination that is common in mass-market “shared SaaS” platforms. POSKAI treats your data as an isolated fortress.

What is prompt injection and how does it work in calls?

It is an attack in which the caller uses carefully phrased sentences to force the AI assistant to ignore its core instructions and, for example, reveal confidential information or apply a nonexistent discount. POSKAI artificial intelligence includes dedicated safeguards that identify and automatically block such manipulation attempts.

Are we required to tell the customer that they are speaking with AI?

Yes. Under the EU Artificial Intelligence Act (Regulation 2024/1689), the transparency requirement is mandatory (Article 50). The customer has the right to know they are not interacting with a live human, and this must be clearly stated at the beginning of the conversation. The POSKAI platform supports this function automatically.

Ready to get started securely?

Contact the POSKAI team and learn how our isolated, Europe-based AI assistant can optimize your processes and save money without putting data security at risk.

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