Responsible AI is about control, accountability, and trust.
It confirms that AI use is transparent, risks are managed, and humans remain responsible for outcomes. This assurance is increasingly expected by customers, partners, investors, and regulators.
Organisations with Responsible AI in place experience fewer delays, fewer challenges, and stronger confidence from stakeholders.
Responsible AI certification looks at how AI is used, not how it is built.
We assess AI use across its full lifecycle, from how it is introduced and applied, to how data is handled, decisions are made, and outcomes are monitored over time. We examine the people involved, the rules in place, and the controls that govern everyday use.Our focus is simple:
- Who is responsible.
- How decisions are explained.
- What happens when something goes wrong.
The assessment is structured around five clear pillars that make Responsible AI practical, consistent, and measurable.
Responsible AI Certification (24 months)
Formal confirmation that your program conforms to the Gates AI Responsible Artificial Intelligence Framework, valid for 24 months with surveillance checks to ensure controls keep working as you scale.
RAI Trust Seal (with usage terms)
A verification seal for your website, proposals, and reports. Clear usage terms prevent misuse; the seal signals independent assurance to customers, procurement teams, and regulators.
Independent Assessment Report
A plain-language report you can act on: gap analysis mapped to controls, a risk heatmap of what matters most, prioritized remediation with owners and timelines, and evidence requirements for closure.
Verification & Registry Listing (opt-in)
QR-verifiable public listing so partners and customers can confirm your certification status, scope, and validity in seconds—no back-and-forth needed.
Surveillance & Continuous Oversight
Scheduled surveillance checks during the 24-month period to confirm fixes stay fixed, models remain stable, and monitoring catches drift and bias early.
Executive Briefing Pack
Board-ready slides summarizing findings, decisions taken, and the improvement roadmap—built for audits, regulators, and major customer reviews.
Implementation Manifesto
A practical “how-to” for embedding Responsible Artificial Intelligence in daily work: governance roles, policy templates, approval gates, KPIs and targets, monitoring routines, incident handling, and disclosure patterns.
Closure Verification & Re-test
Evidence-based sign-off when findings are closed, with targeted re-tests to prove controls work under real conditions—not just on paper.
Define which systems, teams, and locations are in scope, with explicit boundaries and exclusions to avoid ambiguity.
Use a shared glossary so legal, risk, product, and engineering teams interpret requirements consistently.
We align with leading global principles and local laws, mapping their implications to your controls.
We calibrate controls to your sector, risk profile, user impact, and business goals so compliance is meaningful and effective.
We are committed to advancing Responsible AI—the ethical, transparent, and accountable use of artificial intelligence that builds trust, ensures compliance, and mitigates risks.
Fair and non-discriminatory, transparent and explainable, secure and well-governed, aligned with ethical principles, and accountable to human oversight.
We begin with Assessment Planning (about two weeks): identifying AI use cases, responsible owners, how data is used, what information is collected, and agreeing on evidence and timelines. This focuses on how AI is applied in real operations, not how it is built.
Next is the Usage & Governance Assessment (about two to three months): reviewing policies, controls, data handling practices, decision processes, user disclosures, and oversight arrangements. We examine how the AI is used in practice, how risks are managed, and how the system responds to real-world use.
We then deliver Findings & Closure: a clear risk summary, prioritised actions, and guidance on closing identified gaps. Once critical issues are addressed, we conduct a final review and issue the RAI Certification & Trust Seal, with optional public registry listing for verification.
AI use cases, owners, access, and assessment plan are confirmed.
Review of how AI is used in practice, including data handling, controls, decision flows, accountability, and system behaviour under defined usage scenarios.
No source code or model teardown is performed.
Once gaps are addressed, a final verification is completed and certification is issued, together with Seal usage rules and public registry listing.
Tell us how you use AI and what matters most to you.
We review your use cases, data handling, and regulatory context, then guide you on the right assessment path.
Email a short overview of your AI use to certification@gates-ai.com.
We hold a discovery call to understand usage, risks, and timelines.
You receive a clear proposal covering the assessment approach, deliverables, and schedule.
For complex setups or multiple AI uses, email us and we will arrange a dedicated session.
Gates Digital Pte Ltd (Gates AI Division)
8 Admiralty Street, #07-01
Admirax, Singapore 757438
Legal & Usage
The RAI Trust Seal applies only to the certified use and validity period and requires an active public registry listing.
Misuse may result in suspension or withdrawal.
Certification may be revoked in cases of misrepresentation, fraud, or policy breach.
© Gates Digital Pte Ltd — Gates AI Division. All rights reserved.
No. RAI is designed for any organization that uses AI—finance (credit scoring, fraud), healthcare (triage, diagnostics), retail (recommendations, pricing), logistics (routing, demand planning), manufacturing (quality control, predictive maintenance), mobility (AV stacks, telematics), education (adaptive learning), and public sector (benefits, permitting). We tailor controls to your risk profile, users, and regulatory environment so the assessment is relevant—not “one size fits all.”
Yes. We evaluate prompt/data handling, safety filters, IP and privacy safeguards, output risks (hallucinations, defamation, toxicity), disclosure to end-users, fine-tuning and RAG pipelines, content review workflows, and human oversight. We also check your policies for acceptable use, customer disclosures, and takedown/escalation procedures.
Expect candor and a fix path. You’ll receive a risk heatmap, root-cause analysis, and prioritized remediation plan (owner + timeline + evidence needed). We verify closure. Critical issues must be resolved before certification. Non-critical items may be tracked with deadlines and surveillance follow-ups. The goal is better systems—not “gotchas.”
Twenty-four (24) months from issuance, subject to surveillance checks. If you change models materially (new training data, new use case, higher impact), notify us—significant changes may require a targeted review to keep your Seal active.
Yes. We certify single systems or full portfolios. We’ll group similar use cases, set clear system boundaries, and phase the audit so the highest-risk systems move first while the rest progress on a planned path toward certification.
ISO/IEC 42001 is a management system standard focused on processes and continual improvement. RAI is a practice-focused framework that examines what your AI actually does—fairness, explainability, privacy, safety, and human oversight in use. Many clients use both: ISO 42001 for their AI management system and RAI to prove outcomes and earn the Trust Seal.
Typically: data flow diagrams, access controls, retention/deletion procedures, model cards and evaluation reports, fairness and robustness test results, incident/rollback runbooks, user notices and help text, DPIA/PIA style documents, and security artifacts (logs, pen test results). We minimize operational burden and accept existing evidence where fit-for-purpose.
We work on a strict NDA. We aim to review artifacts in your environment where possible, restrict data exports, and favor redacted samples. Security testing is scheduled, scoped, and documented. Only necessary personnel access your materials. You control and revoke access at any time.
You may display the Seal for the certified scope and validity period (e.g., product page, proposals, investor decks). You must link to the verification page or provide the Certificate ID for real-time status. Misuse (wrong scope, expired status, implying product certification) can trigger suspension or withdrawal.
Activate your incident process, notify affected stakeholders, and inform us promptly. We may run a special review to confirm root cause, remediation, and user protections. If controls remain effective post-fix, your certification continues. If risk is uncontrolled, we can suspend the Seal until verification is complete.