Beautiful documents
Rajneesh Mittal, founder and CEO of Algorizz, sat through a great many AI governance presentations during his years as a CIO. He remembers them as beautiful documents with clear principles, neat matrices and a RACI[1] chart. They were filed away after the meeting, and three months later nobody could say whether a single line had changed what any system actually did. In his view, the documents were never wrong. They simply never touched anything.
“The document was never wrong. It just never touched anything.
When agents act
That approach held up while AI meant a model producing a prediction for a person to act on. It does not hold up when AI agents[2] take the actions themselves: approving, releasing, writing to systems and calling other systems. When something goes wrong, the question becomes specific. Who approved this, on what data, under which rule, and where is the evidence? A policy document cannot answer that. Mittal’s point is that the system has to.
The gap in the handoff
Algorizz sees a second, bigger problem underneath. Most organisations buy AI governance from one firm and AI technology from another. Both may do good work, but the failure sits in the handoff. The governance team describes what should happen, the engineering team builds what is practical, and nobody owns the gap between them. Mittal has been on the buying side of that gap and calls it an expensive place to stand.
One team, not three invoices
The company’s answer is a joint proposition, AI & Digital Trust Transformation, brought to market by Mittal with Gaurav Agarwal and Soma Gupta. Together they bring 75 years of experience across technology strategy and execution, governance, privacy and assurance. The offer covers advise, govern, build and run with the same team from the first workshop through to production, giving clients a single point of accountability instead of three separate suppliers.
Algorizz Rails
Alongside the service, Algorizz has built Rails, a governed execution layer in which policy checks run before an agent acts and the audit evidence[3] is recorded automatically as it runs. The company is offering previews of Rails to CIOs and CTOs who need to keep AI projects moving despite governance and regulatory concerns[4].
“Governance written down and governance running in production are two different things, and only one of them survives a question from your auditor.
Organisations interested in Rails or the joint offer can contact Algorizz at rajneesh@algorizz.com.
