Human oversight
People approve customer-facing messages, sensitive decisions and anything costly. AI suggests; your team decides where it matters.
Grounded answers
Assistants answer from approved information and say when they don't know, instead of guessing.
Transparency
Customers are told when they're talking to AI, and AI-generated marketing content is labelled where appropriate.
Monitoring and correction
We review conversations and outcomes, fix errors quickly and improve guardrails over time.
Our responsible AI commitments
- Clear disclosure when customers interact with AI
- Human approval for high-impact actions
- Answers limited to approved sources
- Bias and quality checks on outputs
- Easy escalation to a real person
- Honest advice when AI is not the right fix
Responsible AI FAQs
What is responsible AI?
Responsible AI means designing and running AI systems so they are accurate, fair, transparent, secure and accountable, with people in control of important decisions.
Will customers know they're talking to AI?
Yes. We recommend clear disclosure, which builds trust and avoids misleading anyone.
What happens when the AI makes a mistake?
Mistakes are logged, corrected and used to tighten guardrails, and high-impact actions always have human review.
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