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An AI knowledge base for insurance broker operations

Short answer

An AI knowledge base in a broker's office gathers the documents for the current case: the policy, its references and the schedules for the right period, and it names the missing document. The broker then knows what to ask for before preparing an explanation for the client, and interpreting the policy stays the broker's work. At Syntalith the app costs from €3,000 net. At 500 questions a month of 12 minutes each, it pays back in 1.0 month.

How we workDetails ↓

  1. 01Call30 minutes with an engineer, free
  2. 02PrototypeA working system on your process and data, free
  3. 03ImplementationTarget and fixed price in the contract; 50% at signing
  4. 04Acceptance50% once the agreed target is met
net per application, fixed price before contract
from €3,000
from signing the contract to acceptance
4–10 weeks
free prototype on your documents
€0

We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓

Author: Syntalith · 3 min read

Example: the morning request inbox
Agent · ready

Statistics

Insurance and AI: statistics 2026

1.0 mo.

payback of a €3,000 app at 500 document questions a month: €3,490 of searching today, €534 with the app. Scenario.

Figures checked: 22 October 2026

The schedule found belongs to an earlier period

An employee at the broker's office is looking for a document about a client's new business location. The current policy refers to a schedule of locations, and the folder holds a file with a matching name, but from the previous period. The schedule the current policy refers to is missing.

The broker asks the person handling the case for a specific schedule, in place of asking in general for „the current documents” or searching the old schedule for the new site. A file missing from the searched collection does not settle whether the location is covered.

Help starts with assembling the right case documents

An employee taking over a client has to understand which documents make up the material for the question. A list of file names is not enough when each period leaves behind similar policies and schedules.

From a question to a complete set of documents
  1. 01QuestionThe employee asks about the client's location.
  2. 02PolicyThe assistant finds the current policy and its references.
  3. 03PeriodEach document shows the client, the period and where it was found.
  4. 04GapThe missing schedule is named, with a request to the person handling the case.
  5. 05FilingThe new schedule is filed with the right policy and period.

The schedule may still sit in correspondence that was never added to the library. The brokers decide which collections the assistant searches and who has access to them. The people who keep the documentation show where new schedules go and how the team finds them, because their work decides whether the next employee opens the schedule straight from the policy.

We run the trial on cases the office has already handled: the client's question, the set of documents and a note of what was missing. We compare the result with what the broker found by hand and measure the time from the question to the complete set.

What a knowledge base for insurance brokers costs and when it pays back

Scenario: a broker's office, 500 document questions a month
Today
500 questions × 12 min = 100 h (€3,490)
With the system, a person checks the output in 15% of the time
€524
Model, 1 call per case, Claude Sonnet 5.5
€9.87
Cost of one case
€6.98 today, €1.07 with the system
Saving
€2,956 a month

Payback of €3,000

1.0 months

The volume, the time and the checking share are the scenario's assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat. Model: 8,000 input tokens and 600 output tokens per call at Anthropic's rates, converted at the ECB rate of 1.1205 USD per euro on 22 October 2026.

According to Brynjolfsson, Li and Raymond (2025), support agents working with AI resolved 15% more issues an hour on average. Less experienced agents resolved 30% more. In a broker's office the biggest difference shows for the person who takes over a client and does not know their history.

Use the document library you already have

Library or app
  • The policy leads to all its schedules

    a better case view in the current system

    no new app

  • File version history is enough

    versions in SharePoint

    configuration

  • Documents in several libraries and in correspondence

    an AI app that joins the sources

    from €3,000

Microsoft describes version history in SharePoint, which lets you view and restore earlier versions of a file. The team still has to agree how a schedule is assigned to a policy and a period. When the problem appears later, while addresses are copied from a form, the post about reading data from insurance forms will help. The scope of the assistant is described on the private ChatGPT for your company page. For the call, bring a client question where the right document was missing last time.

Worked example · Scenario

How we count the payback: answers from company documents

We run the same count for your documents in the free analysis.

€3,723

a month for finding answers to 800 questions in documents

Payback: 1 mo.

Our assumptions are 8 minutes to find an answer in documents or ask a colleague, and checking in 15% of the old time. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. Model cost: Claude Sonnet 5.5, about 6,000 + 500 tokens per answer from documents, at the ECB rate of 1.1205 USD per euro on 22 October 2026.

See the full calculation →

This is how we implement it in companies

All case studies →

Client results.

All projects →
foap.comcustomer service

foap.com customer service: 95% of replies are sent automatically.

Users from several countries write to foap.com, in several languages. The system reads the entire conversation and the terms of that person, and then sends a response in that person's language. Questions about money and exceptions go to the team with a ready draft, so they have to check and send them.

the system sends the answers itself, without human typing
95%
time from the arrival of the e-mail to the ready response (median)
30 s
e-mails that require a response receive a ready-made draft
100%
less work for every 1000 answers (estimate)
47 h

Data from foap.com production, October 20-21, 2026. Estimate: 3 minutes for handwritten response.

How foap.com customer service works →
Sample messages. Money matters always come to the person.

Other implementations

jaktako.design

studio projektowe

−87%

Time to look for new customers, every day

4 hours → 30 min

approx. 73 hours less per month (21 days of work)

according to the studio

How the agent loop works →
Signature Estates

real estate

approx. −90%

Operator time spent browsing portals, per day

2–3 hours → 20 min

approx. 45 hours less per month (21 days of work)

respect · contact the seller 5 minutes after the announcement

How the agent finds property listings →
Kuba Koziej, CEO and co-founder of MoreGrowth and board member at Natu.Care

Kuba Koziej

CEO and co-founder, MoreGrowth

„We started with my own AI agent. During the training that followed, I learned to build new applications myself. Today I am bringing this way of working with AI into my business. Working with Syntalith gave me exactly the skills and tools I needed.”

View the original training review on LinkedIn ↗

When an off-the-shelf tool does not fit, we build your own.Book a free process review (30 min) →

How we build automation and agents

From a conversation to a working system in four steps.

  1. 01 · 30 min

    Free process review

    €0

    You're talking to an engineer. You receive the written plan within 2 business days.

  2. 02 · 5 days

    Free prototype

    €0

    The system works on 20-100 cases that your team has already handled. You see every result.

  3. 03 · 2–16 weeks

    Build

    50%

    Fixed price and goal written in the contract. First installment upon signing.

  4. 04 · after reaching the goal

    Reception

    50%

    You pay the second installment when the system reaches its target on your cases.

How a free prototype is created

Mon.

We set a goal

What result do you consider good?

Tue–Wed

The system is working

It goes through your affairs, one by one.

Thu

We compare

We check every difference with the team's work.

Fri

Result and price

List of errors and fixed implementation price.

You choose the matters. We anonymize them upon request, they stay in the EU and we delete them after the test.

On the market, such a test usually costs from PLN 3,000 to PLN 8,000.

Book a free process review (30 min)

We establish a prototype during a free analysis.

Data checked on October 25, 2026.

„Is my data safe?”

Yes. You choose where they go: from your company account to the model on your server.

  1. 00Employee's private account

    Customer and company data ends up in an account that the company cannot see or control. There is no data processing agreement, so it is a violation of the GDPR. When an employee leaves, the chat history goes with them.

  2. 01ChatGPT or Claude corporate account

    The provider does not use your data to train models. A copy of the queries remains in his logs for up to 30 days.

  3. 02API with zero retention (ZDR)

    The provider processes the request and does not save anything. It requires his consent, we prepare the application together.

  4. 03Processing in the EU

    Queries are counted and stored in Europe: OpenAI in the EU region, Claude via clouds with the EU region.

  5. 04Model at your place

    The open model runs on your server or in your cloud in the EU. The data does not go outside the company.

What we do with every implementation

  • Confidentiality agreement and data processing agreement before we receive any data.
  • You choose the cases for the prototype and we anonymize them upon request.
  • The data stays in the EU and we delete it after the test.
  • Corporate accounts with an administrator on your side.

When data cannot leave the company

The open model runs on your server or in your cloud in the EU. To choose from:

White-tailed eagle
Polish model, SpeakLeash and ACK Cyfronet AGH
PLLUM
Polish model, HIVE consortium commissioned by the Ministry of Digitization
Qwen
Alibaba
GLM
Zhipu AI
DeepSeek
DeepSeek

We select a model for the task and check it on your cases. We run it, tune it and maintain it.

Source: Bielik and PLLuM, ACK Cyfronet AGH ↗ · PLLuM, Ministry of Digitization ↗

Do you have a lot of your own data? We will fine-tune the small model.

  1. 1 Your examples
  2. 2 tuning
  3. 3 test on new cases
  4. 4 model at your place

When you have thousands of similar emails, documents or reports, we teach a small open model based on your examples. It works for you, responds quickly and costs less to maintain than a large model. We measure quality on issues that the model has not seen while learning.

Przemysław and Piotr did it in large programming and consulting companies. Artem did it before and does it today at Syntalith. It's about models on your own infrastructure, tuning and quality measurement.

You choose the protection level during the interview. We sign the data processing agreement before we see any data.Schedule a free analysis →

Custom AI apps

When an off-the-shelf tool does not fit, we build your own.

We build an application with a language model for the work of your team: searching the company's knowledge, case panel or portal. We check the validity of your documents before launch, and the code stays with you.

See AI applications →
net per application, fixed price before contract
from €3,000
from signing the contract to acceptance
4–10 weeks
free prototype on your documents
€0

Questions

  • How does AI help an insurance broker?

    It gathers the documents for a client's question: the policy, its references and the schedules for the right period, and it shows what is missing. Interpreting the policy and answering the client stay with the broker.

  • What if the folder holds an old schedule of locations?

    The assistant shows the reference in the current policy, the schedule it found with its period, and a note that the schedule for the current policy is missing. A missing file does not settle whether the location is covered.

  • How much does a knowledge base for a broker's office cost?

    At Syntalith an AI app on documents costs from €3,000 net. At 500 questions a month of 12 minutes each, the payback is 1.0 month.

  • When is the current broker system enough?

    When the policy already leads to all the related schedules. Then improving the case view or the search is enough.

Let's talk

Just write, call or choose a date.

We work fast because we hate corporate cotton wool. We don't have salespeople or managers to keep an eye on managers. You talk immediately to engineers who then build your system. We respect each other's time and yours too.

We will accept 3 more companies by the end of the year.

Mon–Fri 9:00–17:00 CET

What our OpenAI and Anthropic partnerships mean for you.

OpenAI makes ChatGPT and Anthropic makes Claude. We belong to the partnership programs of both companies, so we work with their tools every day and learn from the creators themselves.

OpenAI Select PartnerClaude Partner Network
01We will select a tool for the task
We implement both ChatGPT and Claude. We check both on your documents, and you choose the one that makes fewer corrections and saves more time.
02Knowledge straight from the creators
We learn from official OpenAI and Anthropic courses and materials. Your team learns about the features and settings that work today.
03Licenses without our margin
When we roll out ChatGPT, Claude or Copilot, you buy the licences directly from OpenAI, Anthropic or Microsoft and they invoice you. We add nothing to the licence.
04Certified engineers
On the team, we have an AWS certification in machine learning and an Anthropic certification in systems architecture on Claude.

Participation in programs does not mean that OpenAI or Anthropic endorses our services.