How AI Helps Brokers Communicate Across Languages: Dutch, Polish & Portuguese

The language gap is a real business problem

Walk into any busy brokerage in Amsterdam, Warsaw, or Lisbon and you'll find clients who came in because they were referred by a friend who speaks Dutch, Polish, or Portuguese — but who communicate primarily in English, Arabic, Spanish, or Romanian. The broker speaks the local language fluently. The client does not.

This isn't a niche situation. In the Netherlands, roughly 4 million residents were born abroad. In Portugal, the expat and immigrant population has grown significantly in the past decade, driven by digital nomads, Brazilian arrivals, and African communities. In Poland, a large Ukrainian-speaking population has arrived since 2022.

Brokers who can communicate clearly in a client's preferred language close more deals and generate more referrals. Those who can't lose business to larger firms with dedicated multilingual staff.

What AI multilingual communication actually looks like

The most practical approach for most brokerages is not full AI translation of every message — it's AI-assisted drafting in the client's language, reviewed by the broker before sending.

Here's the workflow:

1. A client sends a message in English asking about their home insurance renewal.
2. Your AI copilot drafts a reply in English (matching the client's language automatically).
3. You review the draft. If it looks right, you approve. If you want to adjust the tone or add a detail, you edit.
4. The client receives a professional, clear response in their language.

The broker doesn't need to speak the language. The AI handles the drafting. The broker maintains quality control. The client gets a response that respects their communication preference.

Languages Rubo supports

Rubo drafts client replies in the following languages natively:

• Dutch (NL) — the primary market language, with awareness of regional formality conventions
• Polish (PL) — formal and informal registers, with awareness of industry-specific terminology
• Portuguese (PT) — European Portuguese (not Brazilian), including legal and insurance vocabulary
• English (EN) — used for international clients across all three markets

The model is trained on broker-specific terminology in each language, so responses use the correct vocabulary for insurance policies, real estate transactions, and compliance requirements — not generic translations.

Beyond basic translation: cultural context

Language isn't just words. A response that's grammatically correct but culturally off-tone can undermine trust just as much as a wrong translation.

Dutch clients tend to value directness and brevity — a long, flowery response to a simple question reads as evasive. Polish clients often expect a more formal register, especially in early-stage client relationships. Portuguese clients frequently appreciate warmth and relationship-oriented language even in professional contexts.

Rubo's response drafts are calibrated to these cultural norms, not just linguistic accuracy. A "good" response to a Dutch client and a "good" response to a Polish client covering the same policy information will be structured differently — and that's intentional.

The compliance angle

Multilingual communication also has compliance implications. In the Netherlands, certain disclosures must be in Dutch to be legally valid — a policy summary provided only in English may not satisfy your AFM obligations. In Poland, insurance documentation for Polish consumers must be in Polish under UKNF guidelines.

Rubo's AI is aware of these requirements and flags when a document or communication may need to exist in the local language for regulatory purposes — even if the client has been communicating in English.

Building a multilingual practice without multilingual staff

For a brokerage of 2–10 people, hiring dedicated multilingual staff isn't realistic. What is realistic is:

1. Using AI to draft responses in the client's preferred language, with broker review
2. Templating common documents (coverage summaries, renewal notices, claim checklists) in all relevant languages
3. Setting client language preferences in your CRM so the AI always defaults to the right language for each client
4. Flagging language-sensitive compliance requirements automatically

The result is a practice that feels multinational to clients without the overhead of a multinational team. In markets where broker choice is increasingly driven by referral networks that cross language lines, this is a meaningful competitive advantage.