Responsible AI means your systems are safe, transparent, and accountable, with humans firmly in control. It’s how you prove to customers, partners, and regulators that your AI won’t cause harm, that decisions can be explained, and that risk is actively managed. Organizations that adopt RAI build trust faster, move through due-diligence with less friction, and win more complex deals.
The gold standard in AI management, testing, and certification.
RESPONSIBLE ARTIFICIAL INTELLIGENCE (RAI)
Scope of RAI Certification
RAI evaluates AI across the full lifecycle—design, data, model, deployment, and monitoring—alongside your people, processes, and controls. We examine how decisions are made, how they are explained, and who is accountable when things go wrong. Our work is organized around five pillars that make responsible AI practical and measurable.
At the core is a simple rule:
Do no harm—to users, the public, or your organization.
Fairness & Bias Control:
We look for biased outcomes across groups, assess datasets and features for hidden proxies, and recommend thresholds, tests, and remediation plans.
Data Protection & Security:
We map data flows, verify access governance and key management, test web/API surfaces, and review logging, detection, and incident response.
Transparency & Explainability:
We require usable model documentation, human-readable decision rationales, user notices that inform choice, and auditable decision trails.
Operational Safety & Reliability:
We check robustness under stress, readiness to roll back, monitoring for drift and anomalies, and clear runbooks for recovery.
Human Accountability & Oversight:
We confirm clear ownership, defined approval gates, escalation paths, and human ability to intervene or halt deployment.
What the Organization Receives
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.
Core Elements of the RAI Standard
Scope
Define which systems, teams, and locations are in scope, with explicit boundaries and exclusions to avoid ambiguity.
Terms and Definitions
Use a shared glossary so legal, risk, product, and engineering teams interpret requirements consistently.
Normative References
We align with leading global principles and local laws, mapping their implications to your controls.
Context of the Organization
We calibrate controls to your sector, risk profile, user impact, and business goals so compliance is meaningful and effective.
Our Services
AI System Audits
End-to-end evaluations of fairness, privacy, security, explainability, and safety for live or pre-production systems, producing clear, prioritized fixes.
Penetration Testing for AI Apps
Model-aware security testing across web, APIs, infrastructure, and endpoints to uncover vulnerabilities that impact AI reliability.
Governance & Policy Design
Practical policies, roles, approvals, and documentation standards that embed responsible AI into daily workflows.
Remediation & Verification
Hands-on closure support and evidence verification to meet certification thresholds without slowing delivery teams.
RAI Certification & Seal Enablement
Final conformance review, issuance of certificate, and rules for proper use of the RAI Trust Seal.
Surveillance & Re-assessment
Periodic checks to confirm ongoing conformity, model changes, and control effectiveness over time.
Benefits for Businesses
Win Enterprise Deals Faster
RAI reduces security and ethics red flags in procurement, shortening proof and legal cycles.
Mitigate Legal & Reputational Risk
Early detection of bias, privacy, and safety issues prevents costly incidents and public trust loss.
Enable Safer Innovation
Clear guardrails let teams experiment with confidence while staying within risk appetite.
Improve Decision Quality
Better data hygiene, monitoring, and oversight produce more reliable outcomes.
Stay Ahead of Regulation
Alignment with global expectations avoids rework, fines, and market access delays.
Social and Ethical Benefits
We are committed to advancing Responsible AI—the ethical, transparent, and accountable use of artificial intelligence that builds trust, ensures compliance, and mitigates risks.
RAI Confirms That the Organization’s AI Systems are:
Fair and non-discriminatory, transparent and explainable, secure and well-governed, aligned with ethical principles, and accountable to human oversight.
Who Should Get Certified
B2B Software & Platforms
Signal trust to enterprise buyers and pass security/ethics reviews with fewer iterations.
Regulated Industries
Meet heightened expectations in finance, healthcare, mobility, and public services.
Consumer & Retail Brands
Protect reputation while using personalization, recommendations, and automation at scale.
Public Sector & NGOs
Build citizen trust with transparent, explainable, and safe AI decisions.
Startups & Scaleups
Unlock partnerships and accelerate sales by proving responsible AI from day one.
How the RAI Assessment Works
We begin with Scoping (about a week): identify systems and owners, map data flows, agree evidence, and confirm timelines. Testing & Audit follows (two to four weeks): fairness and privacy assessments, security testing, document and notice reviews, and interviews with accountable owners.
We then deliver Findings & Closure: a risk heatmap, prioritized fixes, and verification support. With critical issues closed, we issue Certification & Seal, with optional registry listing for public verification.
Certification Timeline
Assessment Planning (≈1 week):
scope, access, and plan confirmed.
System Testing & Audit (≈2–4 weeks):
evidence review, technical testing, and interviews.
Certification Issuance (<30 days):
certificate, Seal rules, and final report delivered after closure of critical findings.
Get Started
Tell us what you’re building and what’s at stake. Our consultants will review your use cases, data flows, and regulatory context, then advise the right assessment path.
How it works
- Send an inquiry to certification@gates-ai.com with a brief on your AI systems.
- We run a discovery call to understand scope, risks, and timelines.
- You receive a tailored proposal with method, deliverables, and schedule.
Questions or complex portfolios? Email certification@gates-ai.com and we’ll set up a scoping session
Address
Gates AI Certification Team
8 Admiralty Street, #07-01, Admirax, Singapore 757438
Legal & Usage
The RAI Trust Seal may be used only for the certified scope and validity period and requires active registry status. Misuse can result in suspension or withdrawal. Certificates may be revoked for fraud, misrepresentation, or policy breach. © Gates Digital Pte Ltd — Gates AI Division. All rights reserved.
- Frequently Asked Questions
Got Questions? We’ve Got Answers.
Is this only for tech firms?
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.”
Do you review generative AI (text, image, audio, code)?
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.
What if you find issues during the audit?
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.”
How long is certification valid?
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.
Can we certify multiple systems or a whole portfolio?
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.
How is RAI different from ISO/IEC 42001?
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.
What evidence will you ask for?
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.
How do you handle confidential data?
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.
What does the RAI Trust Seal allow us to do?
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.
What happens if there is a major incident after certification?
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.