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Private AI · On your infrastructure

Your company already has the knowledge.
Now make it usable.

Wise Shared designs private AI systems that understand your internal documents and workflows—without turning company knowledge into public data.

Plan your private AI See the architecture
WISESHARED · PRIVATE INTELLIGENCE NODE
SYSTEMONLINE
LOCAL AIKNOWLEDGE ENGINE

› Indexing approved company knowledge

› Applying access permissions

› Response grounded in internal sources

✓ Ready for secure queries

PRIVATE BY ARCHITECTURE

AI that works inside your boundaries.

Your models, documents, permissions, and operating rules remain under the control of your organization.

Runs locally

Deploy on company-controlled hardware or a private server environment.

Controlled knowledge

Choose exactly which folders, documents, and systems the assistant can use.

Permission-aware

Design access around roles so users see only the knowledge intended for them.

Evaluated answers

Test accuracy, trace sources, and improve the system before broad adoption.

REFERENCE ARCHITECTURE

From scattered information to trusted answers.

A private AI assistant is not just a language model. It is a controlled knowledge pipeline designed around real data, permission, retrieval, and evaluation.

  • Source-aware answers with citations
  • Incremental knowledge updates
  • Conversation and quality monitoring
01SourcesFiles · folders · systems
02KnowledgeIndex · permission · context
03AssistantReason · retrieve · answer
04TeamAsk · verify · decide
USE CASES

Built around the questions
your team asks every day.

01

Operations

Find procedures, policies, job history, and operational answers without searching across folders.

02

Customer Service

Give teams faster access to product, service, account, and troubleshooting knowledge.

03

Leadership

Explore internal information and prepare decisions with traceable supporting context.

04

Onboarding

Help new employees learn company processes and terminology through guided questions.

IMPLEMENTATION PATH

Start focused.
Prove value. Expand safely.

  1. 01

    Discover

    Define users, questions, sources, permissions, and success criteria.

  2. 02

    Prototype

    Configure the local model, retrieval pipeline, and a controlled knowledge set.

  3. 03

    Evaluate

    Test answer quality, grounding, security boundaries, and real-world usability.

  4. 04

    Operate

    Launch with monitoring, update routines, governance, and a clear support model.

YOUR KNOWLEDGE. YOUR INFRASTRUCTURE.

Ready to evaluate Private AI?

We will help you identify the right first use case and the infrastructure needed to support it.

Plan a private AI assessment