TuvisMinds helps enterprises decide which AI investments are worth making, design the governance that keeps AI accountable, and execute the strategy end to end — grounded in 26 years of enterprise technology, not the AI news cycle.
We work with enterprises across the full arc of AI adoption — deciding where to invest, designing the governance, executing the strategy, and equipping leadership to steer it.
Which AI investments are worth making — and which are expensive theatre? We test readiness before capital is committed, using the Grounded framework's ten blocks and three non-negotiable gates.
Learn moreGovernance that defines what an AI system is permitted to do before it acts — the Operational Authority Layer — instead of reconstructing accountability from audit logs after something goes wrong.
Learn moreStrategy that survives contact with reality: operating models, vendor and platform choices, pilot-to-production discipline, and the organizational change that makes AI stick.
Learn moreKeynote speeches and structured AI programs that give boards and leadership teams a clear, hype-free mental model for deciding, governing and scaling AI.
Learn moreMost AI governance watches what a system did. Ours asks what it was permitted to do in the first place. That distinction — structural authority versus post-action monitoring — anchors everything we publish.
“An audit log is not a control. It is a record of the moment the control was missing.
— Shrinivas Kulkarni, on the Operational Authority Layer
A diagnostic framework that tests whether an organization is structurally ready for AI investment — ten blocks, three non-negotiable gates. Readiness is examined before capital is committed, not rationalized after.
Explore the frameworkWhen an AI system takes real business action, who structurally decides what it is permitted to do — and how is that enforced? The Governance Brief defines authority before action, shifting control from reactive monitoring to structural permission.
Read the Governance BriefEssays on the physics of autonomous decision-making, the reliability gaps in today's AI systems, and what enterprise transformation actually demands — grounded in 26 years of building and running enterprise technology.
Read the essaysConsequences are considered before the action, not reconstructed after the incident. Every engagement — a readiness verdict, a governance architecture, a leadership program — holds that line.
About working with TuvisMinds and the frameworks behind our AI strategy and governance practice.
A readiness assessment, a governance design, a keynote for your leadership team — the first conversation is free and to the point.