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The principles governing how Aivry designs, deploys, and expects customers to use AI-powered systems — conversational AI, voice agents, workflow automations, recruitment intelligence, and business decision support.
Aivry develops and deploys AI-powered business systems. These may include:
This Responsible AI Policy explains the principles governing how Aivry designs, deploys, and expects customers to use AI-powered systems.
This policy applies to Nio, Halo, Flux, Aivry-powered digital experiences, AI-assisted integrations, and custom AI deployments.
Aivry systems are designed to augment workflows, not replace lawful human accountability.
Aivry systems may use:
These systems may be powered by providers including OpenAI, Anthropic, Google Gemini, ElevenLabs, Sarvam AI, and infrastructure / telecom integrations.
AI systems are probabilistic. This means outputs may be imperfect. AI may produce:
Customers must maintain human oversight where decisions may materially impact people, finances, operations, compliance, or legal obligations. Examples include:
AI outputs should never be blindly trusted in high-risk scenarios.
Aivry systems are not professional advisors. They do not provide guaranteed:
If AI generates information touching regulated subjects, users must obtain qualified human review.
Because Halo interacts with recruitment workflows, additional care is required.
Halo is intended as a support tool. Halo may assist with:
Halo does NOT:
Customers remain responsible for reviewing candidates, validating scoring, checking bias, ensuring fairness, equal opportunity compliance, employment law compliance, and anti-discrimination compliance.
AI ranking is advisory only. See the Halo Fair Use Addendum.
AI systems can reflect bias. Bias may arise from:
Customers using AI in people-impacting workflows must actively monitor fairness. This includes recruitment, screening, candidate communication, customer escalation, and segmentation logic.
Where AI interacts with end users, customers should provide appropriate transparency where legally or ethically required. Examples:
Users should not be intentionally deceived where disclosure is expected.
Customers are responsible for lawful data usage. This includes ensuring:
AI use does not remove legal obligations.
Where AI systems interact over WhatsApp, voice, telecom systems, or messaging channels, customers remain responsible for:
Aivry systems must not be used for spam, harassment, phishing, impersonation, or deceptive automation.
Automation creates operational risk. Customers must validate workflows before deployment. Risks include:
Aivry recommends human review before high-impact automation goes live.
AI outputs may depend on customer-uploaded knowledge sources. If uploaded materials are outdated, incomplete, misleading, or inaccurate, AI responses may inherit those problems.
Customers remain responsible for uploaded knowledge quality.
Aivry relies on third-party AI infrastructure. This means capabilities may change due to:
Aivry cannot guarantee static model behaviour over time.
AI systems should be used responsibly. Customers must not attempt:
Security abuse may result in suspension.
Aivry AI must not be used for:
Impersonation, phishing, deceptive outreach, scams.
Harassment, abuse, threats, harmful misinformation.
Unlawful surveillance, rights violations, regulatory evasion.
Unlawful hiring discrimination, exclusionary decision-making, protected-class targeting.
High-risk automated legal, medical, or regulatory decisions without qualified oversight.
Customers should notify Aivry if they identify:
Contact: grievance@getaivry.com
Aivry may improve prompts, orchestration logic, integrations, workflows, safeguards, detection mechanisms, and service controls to improve safety, reliability, and usefulness.
Responsible AI reduces risk. It does not eliminate risk. Customers remain responsible for how deployed systems are used.
Security, quality, and compliance standards that growing businesses and enterprise teams can rely on.