The Architecture

How PRISM Creates Your Professional AI Twin

Four layers of intelligence work together to create an AI that doesn't just answer questions — it thinks like you, knows what you know, and reasons with your methodology.

1 Identity
2 Knowledge
3 Style
4 Reasoning
1
WHO is your AI Twin?

Identity Layer

Define your Twin's role, expertise, and personality. Is it a senior partner at a law firm? A chief medical officer? A portfolio manager with 20 years of experience? The Identity Layer establishes the professional persona that shapes every response.

Professional role Domain expertise Communication style Language preferences Ethical boundaries
2
WHAT does it know?

Knowledge Layer

Upload your proprietary knowledge base — documents, procedures, research, guidelines, case histories. Your Twin knows exactly what you've taught it, and critically, knows the boundaries of its knowledge. No hallucination because it only draws from verified sources.

Internal documents Regulatory frameworks Case histories Research papers Procedures & protocols
3
HOW does it write?

Style Layer

Your Twin learns to write like you. Upload examples of your best work — reports, memos, analyses — and PRISM extracts your voice, structure, and formatting preferences. Every output reads as if you wrote it yourself.

Report structures Argumentation style Formatting conventions Terminology choices Tone & voice
4
HOW does it think?

Reasoning Layer

This is what makes PRISM different. Your Twin doesn't just retrieve information — it cross-references, synthesizes, and reasons across your entire knowledge base. It connects dots between documents, identifies conflicts, and explains its logic with full source citations.

Cross-referencing Pattern recognition Conflict detection Source traceability Audit trails

Beyond Retrieval

Why PRISM is not "just another RAG chatbot"

Typical AI + Documents

Retrieval-Based

Most "enterprise AI" solutions simply search your documents and paste relevant chunks into a prompt. It's sophisticated Ctrl+F — useful, but limited.

  • Finds text that matches keywords
  • Returns document snippets
  • No understanding of relationships between documents
  • Can't detect conflicts or inconsistencies
  • No reasoning — just retrieval
  • Generic AI voice, not yours

PRISM Architecture

Reasoning-Based

PRISM builds a semantic understanding of your entire knowledge base. It doesn't just find information — it reasons across documents, connects concepts, and thinks like a domain expert.

  • Understands meaning and context
  • Cross-references across all documents
  • Detects conflicts between sources
  • Synthesizes information into insights
  • Explains reasoning with citations
  • Writes in your voice and style

The Difference in Practice

Ask a retrieval system "What's our policy on X?" and it returns a document chunk.
Ask PRISM the same question and it synthesizes your policy, explains how it interacts with three other guidelines, flags a potential conflict with recent regulatory updates, and writes the answer in your organization's voice.

See the Four Layers in Action

Experience how Identity, Knowledge, Style, and Reasoning work together to create your Professional AI Twin. Request a demo with your own use case.

Request a Demo