The AERIS framework

Put any AI through AERIS. Find out if it's safe before your customers do.

AERIS tests how your AI behaves against Responsible AI pillars, from fairness and privacy to transparency and harm prevention. Results are reported as governance, reliability and compliance, and mapped law by law. Our consultants can run it for you, or you can run it on Lynxor.

Who runs it?

Your AI goes in

Customer voicebot

BankIndiaUAE

AERIS Run by our consultants

GGovernance

RReliability

CCompliance

In scope: LLM agent · collections · UAE
Checked: bilingual AI disclosure · gap

A safety verdict comes out

74/100

Conditional go

DPDP ActRBI FREE-AICBUAE AI/MLTRAI TCCCPR

Arabic flow does not tell callers they are speaking to an AI.

Inside AERIS

Every trust control is a plain safety question, with evidence and the laws behind it.

350+Trust controls

10Responsible AI pillars underneath: fairness, privacy, transparency, harm prevention and more

2-stageScore: results roll up into governance, reliability and compliance, then read out law by law

3Inputs set the scope: model type, customer journey, market

IndiaDPDP ActRBI FREE-AITRAI TCCCPRMeitY AI Guidelines

UAECBUAE AI/ML GuidancePDPLUAE AI CharterLabour Law

EUEU AI ActGDPR

TransparencyExample trust control · reported under Governance

Does the assistant tell customers, in every language it speaks, that they are talking to an AI?

Applies to: Customer-facing chatbots and voicebots, in any market
Evidence: Opening scripts in each language, plus a sample of real conversations
Answered by: An analyst, with the evidence attached
Laws behind it: CBUAE AI/ML GuidanceEU AI Act Art. 50UAE AI Charter

Two ways to run it

AI GovernanceAERIS applied by our team, plus the charter, red teaming and monitoring around it. LynxorAERIS as software. Engines propose, an analyst decides, every run is on record.

Systems, scores and findings shown are illustrative.