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Certified businesses

FineSkyAi

Active

Technology · 1-2 employees · ABN 23673712920

Responsible AI Certified · Embed tierCertified since 3 Mar 2026 · Valid until 3 Mar 2027

Certification ID: RAIA-2026-0004

2026 cohort: certified ahead of the Australian Standards for AI

finesky.ai

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Verified live against the certification register

Responsible AI Australia Embed certification markVerifying against the register…
TierEmbed
Certification IDRAIA-2026-0004
Expires3 Mar 2027
View signed credential (AATC)How this verification works

In plain English

The AI Transparency Card is the one-screen version of this entry: what FineSkyAi uses AI for, whether it makes decisions about you, who oversees it, and how to question a decision. The assurance pack is the same record arranged for a supplier questionnaire.

Open the card Assurance pack (PDF)

For AI agents

This certification is machine-verifiable. Any AI agent, search engine or procurement system can confirm it in milliseconds, no account required.

RAIA-2026-0004
Verify via APISigned credential (AATC)How machine-verifiable certification works

Responsible AI profile

Self-declared AI practices, submitted as part of this business's certification.

AI usage

How they use AI

We use AI to assist organisations in developing their custom solutions. Currently we develop bespoke tools, applications and fine-tuned models for this purpose.

AI tools in use

Chatbots or virtual assistants (e.g., customer service)Image recognition or computer vision (e.g., quality control in manufacturing)Natural language processing (e.g., content generation or sentiment analysis)Automation or robotic process automation (RPA) (e.g., workflow efficiency)Marketing or content creation (e.g., personalized ads)Other (specify briefly)

Pre-built models & their purpose

We use both pre-built models such as GPT-5, o3-mini-high and Mistral, and custom fine-tuned versions of open source models (Mistral 7B, Qwen 2.5 VL Instruct and Phi-4)

AI use & risk profile

Low-risk (e.g., internal automation or content generation)Other (specify)

Other risk areas

document analysis

Risk & safety

How they identify and mitigate AI risk

Annually updated internal Ethics Policy, adherence to national and global stands (Australian AI Plan, EU AI Act, etc.), ‘red teaming’ (where appropriate), housing private/sensitive information within Australian borders, placing a human-centred approach as the paramount reason for pursuing any AI project.

Fairness audits & human-in-the-loop review

No

Ability to contest or override AI decisions

No

Ethics & governance

Follows ethical AI frameworks

Yes

Frameworks followed

Australian AI Ethics PrinciplesInternal company policyInternational standards (e.g., EU AI Act guidelines)

Maintains AI documentation & oversight

Yes

Responsible for oversight

Yes – detailed logs, comms and evaluations as created by the AI Solutions Developer during development, testing and training (fine-tuning) runs.

Privacy & fairness

Privacy & data security (Privacy Act 1988)

Yes

Methods

Data encryption and anonymizationCompliance with Privacy Act via data impact assessmentsThird-party tools (e.g., secure cloud providers)

Prevents AI bias & discrimination

Yes

Methods

Diverse and balanced training dataBias detection tools or algorithmsInclusive testing with varied demographics

Sustainability & society

Environmental impact

N/A, Low-scale use currently.

Societal benefit & responsible scaling

AI powered by renewable energy. Exclusively.

Certification history

Certified for 8 months. Everything below is on the public record. Purple entries are verified by Responsible AI Australia; amber entries are declared by the business.

  1. 3 March 2026

    Certified at the Embed tier

    Assessed by Responsible AI Australia against Australia's AI Ethics Principles.

Run a business that uses AI? See how certification works.