AI ASSISTANT IN DIALOGUE INTERFACE / CHAT / BOT

• Models can be connected to an online interface and advise clients or partners on the company’s products and services.
• Models can retrieve and collect leads, perform actions, transfer conversations to a call center operator, or transfer data to integrated CRMs.

EMAIL ROUTING

The model can process incoming email, classify the topics of the request, extract the necessary data, prepare and send a response to the recipient.

COMPANY'S OWN AI PRODUCTS

Models can be connected via API to any product or service of the company.

TASKS

• The model returns detailed answers to questions from the Knowledge Base
• The model extracts data from the dialogue or context: full name, contacts, phone number, email, dates, etc.
• The model determines the user's intent and the topic of his request.

SAFETY

• Model settings allow you to control the content that is used to retrieve the response. Possibility of connecting corporate Knowledge Bases.
• The model strictly adheres to the context of the dialogue. For example, he does not answer questions about politics.
• Models can be deployed within a corporate environment, without access to external sources.
• The models comply with data protection and privacy requirements.

Large Language Models (LLMs) are large deep learning models, pre-trained on massive amounts of data, designed to understand and generate natural language content. LLM models are capable of recognizing, translating, predicting or generating text and other content.

Assemblies of LLM models, such as GPT Chat, can solve problems with text information, maintain dialogue and answer questions. Saving the history of dialogue allows models to simulate communication with a real person. LLM models are constantly being developed and improved.

Today, the community has developed more than 10 thousand different versions of models in terms of performance and functionality, many of which are free software (open source). Today, LLM models are able to effectively solve business problems, namely:

1. Consult clients and partners on a large library of corporate information. Combined with dynamic search, the model is able to quickly answer any complex questions.

2. Extract leads from the context of the conversation, such as user contact and personal information.

3. Route requests from clients and partners according to a given scenario with the connection of data processors from external sources. The model can be connected to any interfaces and Databases via API.

Osago.one, a graduate of the IIDF accelerator (Ministry of Digital Development), develops digital financial consultants who sell insurance products. The service is distinguished by the absence of agents and intermediaries. Direct contact with the audience and artificial intelligence technologies create a positive experience. More than 1,000,000 users are registered on the service and more than 100,000 insurance policies have been issued.