AI Transparency Card
Enrola Pty Ltd
Technology
Status
Certified
Tier
Commit
Certified since
22 February 2026
ID
RAIA-2026-0002
The facts above are verified by Responsible AI Australia against its public register.
- What this business uses AI for Assessed
- Enrola operates AI-powered SMS sales agents that autonomously contact and qualify leads on behalf of businesses. Our agents handle the full conversational lifecycle — from initial outreach and qualification through to handoff — using OpenAI as the underlying large language model. We also use campaign automation to re-engage cold leads. We are continuously expanding our agent capabilities across high-consideration consumer sales verticals including education, insurance, finance, and real estate.
- Does it make decisions about you? Assessed
- The business describes its AI use as medium risk, such as recommendations or marketing. It has not declared any use that makes significant decisions about people.
- Who is watching it Assessed
- The business states that humans review its AI. In its own words: Yes. We conduct ongoing (weekly) human-in-the-loop reviews involving the CTO, a dedicated quality engineer, our Customer Success team, and direct customer feedback. Conversation samples are regularly reviewed to assess response quality and flag issues. We also run automated evals prior to each production deployment. This multi-layered feedback loop ensures quality issues are identified and addressed quickly.
- How to question a decision Assessed
- Yes, partially. While there is no formal appeals process, AI engagement can be ceased at any point - by the business customer via the Enrola dashboard or by the end consumer via opt-out. Once the AI is paused, a human sales representative can pick up the conversation directly. This ensures that no lead is ever locked into an automated interaction and that human judgement can take over whenever needed.
Accountable for AI
Yes. Yvette Quinby (CTO) is responsible for AI development, testing, and oversight, supported by a dedicated quality engineer and our Customer Success team. We maintain logs of agent conversations, model versions, and prompt changes. Customer feedback is actively collected and reviewed as part of our quality process. Configuration and deployment documentation is stored in our shared internal systems. We are building out more formal documentation practices as the team and product mature.
No questions have been put to this business through its card yet.