Every week there is a new model. A new product. A new funding round.
And almost none of it comes with a serious answer to this question:
Is your AI actually governed?
Not "do you have a policy?", everyone has a policy. I mean: can you prove, from your live systems, which AI tools your employees are actually using, whether sensitive data is reaching consumer AI accounts, and whether your acceptable use policy is being followed in practice?
Most organisations cannot. Most teams cannot. The evidence is not there.
I have been building on this problem for the past couple of years. Four products, one principle:
Is your AI compliant and governed?
Nitivai, connects to your live environment (identity providers, cloud, AI APIs, endpoints) and surfaces your AI governance posture as verifiable evidence, not a questionnaire. Mapped to EU AI Act, ISO 42001, ISO 27001, SOC 2, and NIVAI-AGF.
NIVAI, the independent certification body that published NIVAI-AGF framework, with an auditor pool we just launched.
CLAIIM, sovereign identity and control plane for AI agents. As agentic AI proliferates, the question shifts from "which tools are your employees using" to "which agents are acting on behalf of your organisation, with what permissions, and with what audit trail."
Chron, audit-quality logging for every AI conversation, locally deployed. Your conversations. Your database. Nothing leaving your environment.
The race to build AI is real. The race to govern it has barely started.
And one day, sooner than most teams expect, a user, a customer, a regulator is going to ask: are you feeding my personal data stored in your apps to AI?
What is your answer?
Genuinely curious what the developer community thinks. Are you seeing governance and compliance come up in the products you are building? Or is it still treated as an afterthought?
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