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AssistiveSMB (< $25K ACV)Low — Days to first value

Enterprise customers are asking how AI-generated outputs are governed. The security questionnaire is already on the desk.

Software startups use AI for product documentation, release notes, customer support responses, and internal technical specs. The efficiency gain is real. The governance gap surfaces at the first enterprise sales cycle — the security questionnaire asks how AI-generated customer-facing content is governed, and the answer is usually "we review it manually." SOC 2 auditors are beginning to ask the same question. Open source license compliance for AI-generated code adds a second exposure surface.

What Ontic Does Here

Ontic's Studio governs AI-assisted documentation and content generation with source tracking and version control. The Refinery adds customer-facing governance — support response templates, changelog content, and status page updates that enforce accuracy and consistency. When the enterprise customer asks how AI outputs are governed, the answer is a system, not a process.

Recommended Deployment

Studio

Assists judgment

★ Start here

  • Product documentation drafting
  • Release notes generation
  • Internal technical spec assist

Refinery

Enforces authority

  • Customer-facing docs governance
  • Support response templates
  • Changelog and status page content

Clean Room

Enforces defensibility

Not applicable for this segment

Expansion path: studio -> refinery

Regulatory Context

SOC 2 Type II increasingly requires AI governance documentation. State privacy laws (CCPA/CPRA) apply to AI-processed personal data. GDPR applies to EU customers. Open source license compliance is not exempted for AI-generated code. Terms of service enforcement requires knowing what the AI produced.

Applicable Frameworks

SOC 2 (if enterprise customers)State privacy laws (CCPA/CPRA)GDPR (if EU customers)Open source license complianceTerms of service enforcement

Common Objections

"We're 20 engineers. We can't afford governance infrastructure."

Ontic's Studio tier is consumption-priced and requires no infrastructure. The cost of not having governance is losing the enterprise deal because the security questionnaire cannot be answered. The first enterprise contract pays for years of Ontic.

Evidence

  • 82% of software organizations use AI internally; 25% have governance policies
  • SOC 2 auditors are adding AI governance to examination scope
  • Enterprise security questionnaires increasingly include AI-specific questions

Questions to Consider

  • ?How do you answer the AI governance section of enterprise security questionnaires today?
  • ?Is any AI-generated content reaching your customers — docs, support responses, release notes?
  • ?Has your SOC 2 auditor raised AI governance as a scope item?

Primary Buyer

CTO / VP Engineering / Head of Security

Deal Size

SMB (< $25K ACV)

Implementation

Low — Days to first value

Start With

Studio

Ready to see how Ontic works for startup?