NiyamR AI Governance gives a company one live record of every AI it uses, checks each one against the law, and keeps the proof ready for the day a regulator, a client or the board asks.
AI arrives through every door: tools staff sign up for, features switched on inside existing software, models built by engineering. No one owns the complete picture.
The EU AI Act carries fines larger than GDPR. The UK and Singapore have their own expectations. Each asks for evidence, not good intentions.
A manual AI inventory is out of date the week it is finished. Compliance teams are asked to sign off on systems they cannot see.
The AI register fills itself from real activity, so it includes the tools nobody declared.
Every system is scored against the actual text of the law, with the gaps listed and cited.
Every decision and every action is recorded, ready to hand to an auditor.
NiyamR finds every AI tool in use across browsers, apps, networks and workplace software.
Each system is checked against the regulations that apply to it. Gaps come back with the exact article they relate to.
The company writes its AI policy once, from templates already mapped to the law.
Gaps become tasks with owners. Every step is logged as audit-ready evidence.
Answers one question for each AI system: does this meet the rules? The result is a scored report that lists every gap and points to the exact part of the law behind it.
A gap analysis a regulator can follow
Finds the AI tools people use without telling anyone. Each one is risk-scored and put in a queue, so the company can approve it or block it.
A complete AI asset registry
The company’s AI rulebook, in one place. Write a rule once and it applies across every country the company operates in, and on live AI traffic.
One rule set, enforced everywhere
A complete, exportable history of what was assessed, decided and enforced. It is the document an auditor asks for, produced automatically.
Reports ready for audit
An assistant for compliance teams. Ask a question in plain English and get an answer drawn from the company’s own AI record and the regulation.
Answers your team can act on
A rule written in NiyamR becomes a live control on real AI traffic in under a minute. Most governance tools stop at the document.
Assessments cite the regulation text, article by article. A reviewer can check every conclusion.
Discovery runs continuously, so the record reflects what the company uses today, not last quarter.
Governance, security and testing share one rulebook and one audit trail.
AI rules are moving from guidance to enforcement across the EU, the UK and Asia. Compliance is becoming a line item, not a choice.
Any organisation that uses AI needs a record of it. That is no longer a niche.
Governance is where the relationship starts. Security and testing follow from the same rulebook.
Start with the registry. Every rule runs in monitor mode on your own hardware until you have seen your own traffic and decided what to turn up.