A governed conversational knowledge system
Wisdom 360 transforms approved company information into a private AI knowledge assistant. Users select the relevant knowledge base, ask a question, and receive structured responses supported by approved source evidence. When the available knowledge does not support a claim, the system is designed to refuse rather than guess.
Knowledge management
Authorized teams can ingest websites, sitemaps, PDF, DOCX, TXT, Markdown, JSON, CSV, and XLSX sources. Live ingestion status, draft review, testing, activation, extension through a Draft copy, source-integrity review, duplication analysis, deactivation, and permanent deletion support a controlled knowledge lifecycle.
Grounded retrieval and question assistance
Wisdom 360 combines semantic vector retrieval with keyword fallback and can use local Ollama integration for private AI-generated answers. Before retrieval, question assistance can recommend clearer wording, explain weak context, preserve the original wording and revision history, or leave an already clear question unchanged.
Administration and governance
- Role-based administration and authenticated access
- User, role, password, and session management
- Operational and security audit history
- Knowledge-base-scoped processing and retrieval
- Detailed deletion and cleanup reports
- SQLite and SQL Server deployment support
- Private installation on the customer's own VPS or infrastructure
Experience and supervision
Conversation history, archiving, a visible answer-generation process, approved-source panels, feedback, human-assistance pathways, responsive chat, and authorized supervision tools help users understand both the answer and the evidence behind it.
Business value
Wisdom 360 is intended to reduce time spent searching documents and internal systems, provide consistent answers from reviewed information, help employees find policies and operational guidance, and reduce repetitive internal support requests.
Its private deployment model keeps sensitive organizational knowledge within the customer's controlled environment.
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Wisdom 360 interface and grounded answers
These screens show the supplied Wisdom 360 interface, conversation flow, source evidence, and authorized supervision views.
Wisdom 360 is an enterprise AI knowledge assistant for approved company information. Its documented interface combines knowledge administration, grounded conversations, source evidence, and private deployment options so teams can review both the answer and the information behind it.
An enterprise RAG platform for company knowledge
An internal company AI assistant should help users find approved information without pretending to know facts that are absent from the source collection. Wisdom 360 lets users work with the relevant knowledge base and presents structured answers supported by source evidence.
As a RAG knowledge management system, it connects the user experience to the administration of the underlying information. The product page's screenshots show conversation, evidence, and supervision views; they do not imply a guaranteed answer quality for every new document collection.
Multiple knowledge bases and supported ingestion
The documented ingestion options include websites and sitemaps, PDF, DOCX, TXT, Markdown, JSON, CSV, and XLSX. Multiple knowledge bases allow teams to organize approved information for different subjects and use cases.
Live ingestion progress, cancellation, cleanup, draft review, and testing support preparation before activation. An existing collection can be extended through an independent draft copy. Source permissions, extraction quality, and the intended update process still need review for each deployment.
Retrieval, evidence and local Ollama
Wisdom 360 combines semantic vector retrieval with keyword fallback and supports local Ollama integration. The grounded AI knowledge system uses approved evidence to support answers and is designed to refuse unsupported claims rather than guess.
Source panels let users inspect supporting information. Structured responses and question assistance help make the interaction more useful, while human-assistance pathways provide an option when the available knowledge cannot resolve the request.
Knowledge governance and administration
Administrators can review chunks, metadata, vectors, and source integrity. Duplicate, redundant, and ambiguous-content analysis helps identify material that needs attention. Activation, deactivation, and deletion form part of the documented knowledge lifecycle.
Role-based administration, user and session management, audit history, and authorized supervision support operational control. A private AI knowledge base also needs an agreed policy for source ownership, access, backups, retention, and updates.
Product deployment or custom engineering
Choose a product assessment when the documented capabilities match the intended knowledge workflow. Choose RAG development services when ingestion, permissions, interfaces, or integrations require custom engineering.
Enterprise AI consulting can establish readiness and priorities. AI implementation services covers the surrounding application, deployment, evaluation, and operational handover. Bring sample sources, expected questions, access rules, and infrastructure requirements for a useful discussion.
Questions before you start
Is Wisdom 360 only a chatbot?
Its documented scope includes knowledge ingestion and governance, retrieval, grounded conversations, source evidence, administration and supervision.
Can we use our own infrastructure?
The documented deployment options include customer-controlled infrastructure and local Ollama integration. Hardware and operational requirements must be assessed.
Does it guarantee every answer is correct?
No. Source quality, retrieval, evaluation and user review remain important. The product is designed to use evidence and refuse unsupported claims.
Related services and product examples
Define a useful next step.
Share the current workflow, systems, constraints, and result you want to review. We will discuss an appropriate scope and the inputs it needs.