Before
- Knowledge is spread across repositories
- Search returns too much or too little
- Employees ask the same experts repeatedly
- AI tools lack trusted internal context
Solution
Enterprise Knowledge Assistant
Employees waste time searching across documents and systems, while generic AI tools may answer without reliable access to approved company knowledge.
PlanckCyber builds enterprise knowledge assistants that retrieve from approved sources, respect access boundaries and answer in a way that can be evaluated. The architecture can support employees, service teams, technical users or other AI agents that need grounded organizational knowledge.
Workflow Change
Before and after.
After
- Sources are indexed with metadata and permissions
- Relevant passages are retrieved for each question
- Answers can reference source material
- Retrieval and answer quality are measured
System Components
What the solution may include.
- Ingestion and indexing
- Retrieval/RAG layer
- Permission model
- Assistant interface or API
- Evaluation suite
Integrations
Connect to the systems that matter.
- Drive/document platforms
- Wikis
- Ticketing/CRM
- Databases and internal APIs
Measure Success
Define evidence before scaling.
- Search success
- Retrieval relevance
- Grounded answer quality
- Time to useful information
- Escalation rate
Constraints
What must be controlled.
- Source quality limits answer quality
- Permissions must survive retrieval
- Freshness and content ownership need operating processes
FAQ
Specific buyer questions.
How is this different from a public chatbot?
An enterprise knowledge assistant is grounded in selected organizational sources and can enforce company-specific permissions, provenance and evaluation.
Can it serve other AI agents?
Yes. A knowledge layer can expose controlled retrieval to applications and agents as well as a human-facing interface.
Primary capability: Data & Knowledge Intelligence
Start with the problem
Have a problem AI might solve?
You do not need a specification. Tell us what you are trying to improve.