Functionality Description

Fineguide Functionality Description

Fineguide.ai is a platform that offers a full Ai Customer Support solution for businesses.
This is an AI-driven platform that helps businesses integrate AI chat assistants into their websites for tasks like customer support and lead generation. It enables businesses to offer AI-powered customer service and support without needing to write any code.


Conversational Assistants

The conversational assistant is a AI that is connected to a communication channel that can interact with a user via that communication channel. Various communication channels are supported - via website text/audio, via various 3rd party messengers (fb, whatsapp, insta etc.)

Assistant knowledge base configuration

Upload any number of documents, links to websites on just dynamically specify what websites to get the information from.

The process of training the assistant as easy as possible.

Engine features

Supported AI Models

The platform supports all major LLM providers: OpenAI, Google Gemini, Anthropic Claude.
On demand integration with private Ollama or OpenRouter instances or other on-premise models.

Indexing engine

  • The indexing engine can read entire websites recursively
  • Can read java script based web-sites like the one build in modern frameworks like React or Angular.
  • Can read any downloadable documents: pdf, doc, rtf, xml, json, etc.
  • Documents are stored into a searchable vector database which is optimized for LLM lookup operations.
  • Automatic content sync with the RAG engine.

Search engines support

The platform has the ability to use the following engines for search

  • Internal indexing engine (direct google search)
  • Perplexity search
  • OpenAI + search via the API
  • Anthropic + search via the API
  • Gemini + search via the API

The search engine results can be combined or used

Quality control

Making sure the AI delivers the best answer, does not hallucinate or somehow alter the information is hard.
Constantly monitoring and improving the quality of our services.
Here are a few approaches we take toward delivering the best quality answers:

  • Logging and tracing for later analysis
  • RAG engine metric monitoring
    • Estimate the RAG engine performance based on a predefined set of questions and answers with discrete link to the source document
    • Auto-improving algorithm for sources discovery, a methodology implied for improving the RAG engine performance where the documents descriptions are automatically improved based on the detected failures.
  • Advanced RAG methodology
    • Semanting and sparse keyword search method combined.
    • Hierarchical document parsing for large similar texts like laws or etc.
    • Knowledge graphs and other decomposition algorithms to find hidden relationships in the texts.
  • Automatic document synchronization with external sources
    • Such as websites, google drive, notion, etc.
  • Automatic score improvement based on the feedback loop
    • Automatic re-training based on conversation analytics.
      Works by identifying weak areas, getting additional knowledge and adding it to the knowledge base.

On-premise engine deployment in a private environment

Available on request.
Please contact [email protected] for details.

Additional features

Based on specific requirements it is possible to handle the integration with custom 3rd party system or document storages and tailor the assistants to your specific needs.
It is possible to implement other complex flows again to meet specific requirements.
We can pre-process the knowledge data, provide accuracy estimation metrics, adjust the RAG pipeline to the specifics of your data and so on.

Customizable chat UI

The chat is the part of the platform that interacts with the user, so we pay special attention to the user experience while interacting with it.

We try to deliver a modern UI, with fast clean interface, a customizable design, colors, sizes, texts, language to match your brand.

Here are some major features we deliver

Advances user tracking (in-context generation)

(this feature is in progress)

These set of features are designed to provide users with help based on a specific information they are looking at right now at this exact moment.

Example: the user is looking at a service or a product on your platform (like an online store)

We can track this information and provide exact details to AI where the user clicked and what is he doing now. If the user is hesitant to buy a product maybe he needs a help with this exact product.

What are the possibilities:

External integrations

The platform has been built from the start with extensibility in mind and has various options to connect 3rd party tools and constantly working on adding more capabilities.

Integrations via assistants actions and external MCPs

Ticketing Systems

External CRMs

External chat provides

Zapier integration:

Webhooks and notifications:

The platform has extensive capability to send out notifications via webhooks when something happens.

Integrated call-center software

(this feature is in progress)

The platform has a special UI available to agents that connects and has the ability to monitor, take over an AI session and manually answer user requests.
Create departments with dedicated human support empowered with AI from the start.
Our AI solution seamlessly integrates with call-center operations to reduce the human overhead.

Specific features:

Integrated minimal CRM

(this feature is in progress)

An integrated CRM system for basic needs.

Proactive interaction

(planned)

A set of functionality that is supposed to perform some action based on different triggers.

These allows to proactively call/text users, organize campaigns surveys, periodic checks or reminders etc. This has the potential to become powerful marketing and automation scripts.

Brand customisation

It is possible to brand your own website based on our platform and provide AI services as a reseller.

Voice QA

VoiceQA is a module for analyzing the human agents voice calls.
This is a powerful tool to look inside your call center performance.
The module offers the ability to analyze, track and monitor the performance of a call-center by empowering AI and advanced analytical tools.

The audio files can be provided by an external PBX or internal audio call capabilities.
Also it is possible to analyze a bunch of audio recordings by just uploading the files.
How the analysis is made:

  1. An audio to text engine with automatic identification of the participants transform audio stream into a conversation text.
  1. Based on your custom rules a score calculated.
    1. Rules can be applied based in individual agent, department, type of call (incoming or outgoing) and the context.
    1. The context of the conversation is automatically determined from the conversation and respective rule category is applied. Example: general support call, sales call, technical support call, etc.
    1. Dynamic rules weight: each rule has its own scoring weight, some rules might have more weight than other.
    1. Each rule upon evaluation provides:
      1. Evidence (exactly points to the problem in the conversation)
      1. Argumentation (why we think this is a problem)
      1. Suggestion (how to improve)
  1. Additional metrics are computed and provided automatically for the entire conversation.
    1. Customer intent
    1. Customer satisfaction
    1. Conversation sentiment
    1. General evaluation conclusion
    1. Recommendation for improvement
    1. Set Goals for Agents [NEW]
    1. Industry Standard metrics for agents [NEW] (ex. https://www.sqmgroup.com/resources/library/blog/quadrant-map-data-efficiency-vs-effectiveness)

In addition to individual conversation analysis, VoiceQA module provides different statistics and analytics.

Advanced analytics

All conversational logs are stored and can be visualized in the UI.

Each assistant performance is tracked and visible in a separate dashboard.

The following are the tools available for tracking assistant performance the platform provides:

The platform offers advanced analytics based on session aggregation.

This analytics is very useful to understand the current issues customers a facing, what are their common problems, how helpful is the assistant in helping customer issues, common ares of interests, intent analysis and many more.

You have the ability to track down and find areas where the assistant does not perform good enough and improve them.

Advanced conversational analytics metrics provided:

  • Score distribution statistics
  • Common questions or issues
  • Unresolved issues
  • Trends and Intent analysis
  • Customer satisfaction
  • Improvements suggestions
  • Regular reports by email

Business workflow automation

Business automation is a feature that allows you to automate tasks and workflows for your business.

Compliance, confidentiality and handling of sensitive data

Our commitments provide you with ownership and control over your business and customer data. We aim to build trust in our organization and platform by protecting our customer and user data.