1. AI Output Risk
AI-assisted outputs may be incomplete, inaccurate, outdated, biased, or unsuitable for your specific technical, legal, compliance, security, or business requirements. You should independently review and validate all generated content before relying on it.
2. Documentation Quality Risk
Quality scores, readability indicators, confidence signals, and recommendations are decision-support tools. They do not guarantee correctness, completeness, accessibility, security, regulatory compliance, or production readiness.
3. Repository and Data Processing Risk
Connecting repositories or uploading technical content may expose sensitive code, architecture, credentials, secrets, personal information, or proprietary materials if your internal controls are not configured correctly. You are responsible for reviewing what you connect or submit.
4. Human Review Risk
Human-in-the-loop workflows depend on reviewer availability, reviewer expertise, permissions, and your internal process design. Routing content for review does not guarantee that all issues will be identified or corrected.
5. Compliance and Security Risk
TechniDox can support compliance and security documentation workflows, but it is not a substitute for professional compliance, legal, privacy, or security advice. You remain responsible for your own compliance obligations and audit evidence.
6. Operational Risk
Integrations, APIs, dashboards, and automation workflows can be affected by third-party service changes, outages, permission changes, rate limits, misconfiguration, network conditions, or deployment changes.
7. Business Decisions
ROI metrics, productivity estimates, documentation health scores, and dashboard analytics are informational. You should not make material business decisions based solely on TechniDox outputs without appropriate independent review.
8. Your Responsibility
You are responsible for configuring TechniDox appropriately, maintaining access controls, reviewing outputs, protecting sensitive information, training users, and deciding whether outputs are suitable for your use case.