← Back to SIGNAL IDUNA Builds a Gemini-Powered Knowledge Assistant for Customer Service Agents

Source proof for SIGNAL IDUNA Builds a Gemini-Powered Knowledge Assistant for Customer Service Agents

Source-bound proof

Verified source excerpts for every supported field

Each colour maps a published value to the exact source passage used to support it. Only bounded excerpts are public; administrators can inspect the complete captured source.

12 fields supported

Title

SIGNAL IDUNA Builds a Gemini-Powered Knowledge Assistant for Customer Service Agents

derived · high
…GNAL IDUNA. SIGNAL IDUNA, in collaboration with Google Cloud, BCG and Deloitte, has developed an AI knowledge assistant that empowers service agents to quickly and accurately resolve complex customer inquiries. This innovative solution uses Google Cloud AI, including Google’s multimodal G…
…ed generative AI architecture using Google Cloud’s AI platform, Vertex AI , and utilized Gemini 1.5 Pro’s long-context capabilities to develop an AI knowledge assistant that can provide quick and accurate access…

Description

German insurer SIGNAL IDUNA, working with Google Cloud, BCG and Deloitte, built an AI knowledge assistant on Vertex AI using Gemini 1.5 Pro, Document AI layout parsing, Google's Gecko multilingual embeddings and a PostgreSQL pgvector store. Grounded in more than 2,000 internal documents covering 600+ tariffs, the assistant lets agents ask natural-language questions, cutting core processing time by about 30% and raising the case closure rate from 73% to almost 98% in an internal experiment with 20 employees.

derived · high
…-consuming process. The experiment showed that using the AI knowledge assistant reduced the core processing time (information search and response formulation) by approximately 30% and increased the quality of the response based on expert evaluations. The time…
…customer question. With support from the AI knowledge assistant, SIGNAL IDUNA’s case closure rate increased by approximately 24 percentage points, rising from 73% to almost 98%. Scaling for the Future “Together with Google, we at SIGNAL IDUNA have successf…
…iries, particularly those about health insurance. The AI knowledge assistant is grounded in more than 2,000 internal documents for more than 600 different tariffs, allowing agents to ask questions in natural language and receive accurate answ…

Company

SIGNAL IDUNA

quote · high
…yees retire. Recognizing the growing need for immediate and accurate responses, SIGNAL IDUNA, a leading German full-service insurer, particularly prominent in health insurance, introduced a cutting-edge AI knowl…

Country

Germany

derived · high
…yees retire. Recognizing the growing need for immediate and accurate responses, SIGNAL IDUNA, a leading German full-service insurer, particularly prominent in health insurance, introduced a cutting-edge AI knowl…

Industry

Insurance

classification · high
…ecognizing the growing need for immediate and accurate responses, SIGNAL IDUNA, a leading German full-service insurer, particularly prominent in health insurance, introduced a cutting-edge AI knowledge assistant , powered by Google Cloud gen…

Problem

Prior to introducing its AI knowledge assistant, SIGNAL IDUNA's service agents had to manually search thousands of internal documents across hundreds of different tariffs to answer customer questions, and 27% of inquiries required further escalation to other departments or specialists, delaying resolutions and increasing costs.

derived · high
…tariff information, guidelines, and standard operating procedures. As a result, 27% of inquiries required further escalation to other departments or specialists, resulting in delayed resolutions, increased costs, and potential damage to rep…

Solution

SIGNAL IDUNA, with Google Cloud, BCG and Deloitte, built a generative AI knowledge assistant on Google Cloud's Vertex AI platform, using Gemini 1.5 Pro's long-context capabilities. A hybrid of Document AI's Layout Parser and PDFPlumber extracts text and tables from PDF policy documents, which are chunked and embedded with Google's Gecko multilingual embedding model and stored in Cloud SQL for PostgreSQL with the pgvector extension. A query-augmentation step uses Gemini Pro 1.5 to rewrite and expand user questions, a query cache and the Vertex AI ranking API support retrieval, and the Gen AI evaluation service in Vertex AI, together with BigQuery and Looker dashboards, evaluates response quality.

derived · high
…nd analyze the information later effectively. For storing the vectorized texts, Google Cloud SQL for PostgreSQL is used with the pgvector PostgreSQL extension, which provides a highly effective vector database solution for our needs. By s…
…ieve relevant documents and generate the final answer. For the rewritten query, the system uses Gemini Pro 1.5 to correct spelling errors in the original question. Additionally, the query is expanded by adding synonyms for predefined terms an…

Business value

In an experiment with 20 employees, the AI knowledge assistant reduced core processing time (information search and response formulation) by approximately 30% and increased SIGNAL IDUNA's case closure rate by about 24 percentage points, from 73% to almost 98%, with the system achieving an average response time of about 6 seconds.

derived · high
…asynchronous APIs to help stream data and handle multiple requests. Currently, the system has achieved an average response time of approximately 6 seconds, and SIGNAL IDUNA is experimenting with newer faster models to reduce this time…
…customer question. With support from the AI knowledge assistant, SIGNAL IDUNA’s case closure rate increased by approximately 24 percentage points, rising from 73% to almost 98%. Scaling for the Future “Together with Google, we at SIGNAL IDUNA have successf…

AI capabilities

Generative AI, Document Intelligence

classification · medium
…ral terms and conditions. SIGNAL IDUNA utilizes a hybrid approach that combines Layout Parser in Google Cloud Document AI and PDFPlumber to parse these PDFs and extract the text content. While the Layout Parser is responsible for extrac…
…ominent in health insurance, introduced a cutting-edge AI knowledge assistant , powered by Google Cloud generative AI. “We’ve pioneered to unlock the power of human-AI collaboration: To redefine pr…

Technology

Vertex AI, Gemini 1.5 Pro, Google Cloud Document AI, PDFPlumber, Gecko multilingual embedding model, Cloud SQL for PostgreSQL (pgvector), BigQuery, Looker

classification · high
…d Deloitte, SIGNAL IDUNA built a sophisticated generative AI architecture using Google Cloud’s AI platform, Vertex AI , and utilized Gemini 1.5 Pro’s long-context capabilities to develop an AI know…
…SIGNAL IDUNA to visualize performance trends and gain actionable insights using dashboards with Looker on Google Cloud . Here’s a closer look at how Looker helps evaluate the AI knowledge assistant:…

Headline outcome

derived · high
…solution uses Google Cloud AI, including Google’s multimodal Gemini models , to help agents find relevant documents and provide comprehensive answers 30% faster — ultimately, enhancing customer satisfaction. $300 in free credit to try Googl…

Use case type

Knowledge search

classification · high
…nded in more than 2,000 internal documents for more than 600 different tariffs, allowing agents to ask questions in natural language and receive accurate answers, significantly reducing the time spent searching for relevant information. A de…
Capture details
Captured
10 Oct 2026, 05:19 UTC
Extractor
fetch-strip@1
Snapshot hash
2b1c138d11ef63e2ce2bead881669fca9ba3d993316f9dffedc0b165dcc19da9