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RHF Knowledge AI

Organizational Knowledge Intelligence

Unlock knowledge buried in documents, archives and experience, and make it available the moment it is needed.

Capability areas

  • Semantic search
  • Referenced Q&A
  • Knowledge source management
  • Summarization and extraction
  • Knowledge access control
  • Lessons learned capture
01Introduction
Solution family
AI & Decision Intelligence

RHF Knowledge AI turns the documents, guidelines, contracts, reports and lessons learned of an organization into an intelligent knowledge base. Employees ask questions in natural language and receive precise answers with references to the original sources, so knowledge no longer leaves when people do.

02Challenges

The business challenges this platform addresses

  1. Organizational knowledge is trapped in scattered documents and in the minds of experienced people.

  2. Employees spend significant time searching for guidelines and records.

  3. Inconsistent answers to the same questions across different units.

03Business value

Four core business benefits

01

Instant, referenced answers

Fast access to precise knowledge with source references.

02

Preserved organizational memory

Experience and knowledge endure regardless of staff turnover.

03

Consistent decisions

Aligned answers based on the latest regulations and procedures.

04

Faster onboarding

New employees learn in the flow of work with a knowledge assistant.

04Capabilities

Six solution capability areas

Semantic search

Finds answers by meaning across large document collections.

Referenced Q&A

Natural-language answers linked to the source passages.

Knowledge source management

Organizing, versioning and owning knowledge documents.

Summarization and extraction

Summaries of long documents and key point extraction.

Knowledge access control

Document confidentiality enforced in every answer.

Lessons learned capture

Documents lessons learned and the tacit knowledge of experts.

05Intelligent interaction

A conversation with the AI assistant

A conceptual example of the AI-native experience in this platform: an authorized user asks in natural language and receives a referenced answer that can be reviewed.

Conceptual interaction · Product vision

RHF Assistant

RHF Knowledge AI

Illustrative data

Authorized user

Under our procurement regulations, what steps and approvals are required to purchase equipment of this value?

RHF Assistant

Based on the procurement regulations and the latest related circular, this purchase falls into the mid-value category and requires written quotations and approval by the procurement committee. The steps are listed in order, with references to the relevant clauses in the original documents so you can review them.

Sensitive actions require approval by the responsible person before execution.

06Data governance & trust

Your data, under your control

Answers are generated only from sources the user is authorized to access and always reference the original document. Confidential documents keep their classification in the knowledge base, and knowledge owners can review and update the sources.

  • Role-based access
  • Answers referenced to data sources
  • Complete event logging for audit
  • Human approval for sensitive actions
08FAQ

Answers to common questions

What kinds of documents does Knowledge AI support?

The platform is designed for common text documents such as office files, PDFs and content from internal systems; the scope of sources is defined during assessment.

What happens if the answer is not in the documents?

Rather than guessing, the assistant states that it found no reliable source and can route the question to the relevant expert.

Are our documents used to train public models?

The approach of RHF is to preserve data ownership and confidentiality for the organization; how data is processed and stored is defined transparently in the solution design and contract.

Next step

Request a Professional Solution Consultation

In a consultation session, we review the challenges and priorities of your organization and define the right implementation scope for RHF Knowledge AI together.

Some capabilities described here are part of the RHF product vision and roadmap; the availability of each capability is confirmed during the solution consultation.