# Scry AI Brand Voice

> Authoritative, technical, and high-utility prose focused on enterprise-grade automation and verifiable intelligence.

## Positioning
Scry AI is an enterprise-grade AI platform providing intelligent document processing, IoT, and conversational analytics for banking, finance, and industrial sectors. It positions itself as a robust alternative to generic AI by focusing on verifiable results, complex data extraction, and real-time decision making.

## Voice principles
*   **Outcome-Oriented:** Focuses on the specific business result (e.g., "unlock data," "drive decisions," "reconciles instantly").
*   **Technically Precise:** Uses industry-standard terminology like "key-value pairs," "source traceability," and "predictive maintenance" without over-explaining.
*   **Direct and Declarative:** Uses short, punchy sentences to describe capabilities (e.g., "Handles Any File, Any Format").
*   **Reliable:** Emphasizes control, auditability, and verification to build trust in high-stakes environments like banking and credit risk.

## Tone by context
| Context | Tone |
|---|---|
| Marketing Hero | Bold and competitive. Emphasizes outperforming generic solutions and ROI. |
| Product Features | Functional and efficient. Uses active verbs to describe automated tasks. |
| Industry Solutions | Specialized and knowledgeable. Uses vertical-specific jargon (e.g., "Financial Spreading," "Underwriting"). |
| Security/Controls | Rigorous and transparent. Focuses on traceability, audit trails, and verifiable answers. |

## Lexicon
- **Use:** Enterprise-grade, Intelligent, Real-time, Verifiable, Traceability, Seamless, Actionable, Automated, Scalable, Outperforms.
- **Avoid:** Not evident from captured copy (likely avoids "Chatbot," "Magic," or "Simple").

## Messaging do's and don'ts
*   **Do:** Use active verbs to start feature descriptions (e.g., "Captures," "Extracts," "Reconciles").
*   **Do:** Highlight the lack of manual effort (e.g., "No templates," "Automated workflows").
*   **Do:** Mention specific data types and formats to prove capability (e.g., "Engineering diagrams," "Structured/Unstructured data").
*   **Don't:** Use vague marketing fluff; stay grounded in the specific utility of the AI.
*   **Don't:** Use passive voice when describing what the platform does for the user.
*   **Don't:** Refer to the AI as a person; treat it as an "Agent," "Assistant," or "Platform."

## Evidence
- "AI that delivers"
- "Explore how Scry AI outperforms generic AI"
- "Verifiable answers with source traceability"
- "Handles Any File, Any Format - No templates"
- "We turn data into intelligence"
- "Enterprise-grade Intelligent Document Processing"