Name: Zahra Timsah
Company: i-GENTIC AI
Position: Founder and CEO
Website: https://igenticai.com/
About Zahra Timsah
I founded i-GENTIC AI after more than a decade working at the intersection of technology, security, and compliance in highly regulated industries. My career began in environments where precision mattered and failure had real consequences. Over time, I noticed a widening gap between how fast AI systems were evolving and how slowly governance models were adapting. That gap became impossible to ignore as AI systems began to act autonomously.
Most governance frameworks were designed for a world where humans made decisions. A person clicked a button, approved a process, or signed off on an action. Controls, audits, and accountability followed afterward. But agentic AI does not behave like a human. These systems decide what to do next, retain memory, interact with tools, and take action across systems at machine speed. Applying human-centered controls to autonomous agents was not just ineffective, it was fundamentally flawed. That realization is what led me to create i-GENTIC AI.
Building the company required challenging long-standing assumptions. The hardest part was not developing the technology. It was shifting mindsets. Many organizations believed existing identity management tools, monitoring dashboards, and policy documents would naturally extend to autonomous AI. They do not. Autonomy breaks the traditional trust model. Governance cannot be layered on after the fact. It must be embedded directly into the moment a decision is made.
At i-GENTIC AI, I led the development of a new governance approach that focuses on intent, context, and scope at the exact moment an AI agent proposes an action. Instead of asking what an agent did after something went wrong, we ask whether it should be allowed to take that action at all. This work resulted in Agent Passport, a framework where every agent is bound in real time by jurisdictional rules, policy alignment, human approval thresholds, and continuously auditable outcomes.
The impact has been tangible. A procurement company serving Fortune 500 clients achieved complete, end-to-end audit visibility across automated workflows. A 25 facility hospital network reached 99.8 percent accuracy in protected health information redaction. A global banking and payments organization reduced manual compliance effort by 76 percent. These were not incremental gains. They represented a shift in how organizations could safely deploy AI at scale.
Beyond individual results, the broader industry conversation has started to change. Teams are moving away from abstract principles and future promises toward enforceable guardrails and real accountability. There is growing recognition that memory, tools, and autonomy create new attack surfaces and compliance risks that require continuous, real-time governance.
My work is driven by a simple belief: innovation and responsibility are not opposites. When organizations can trust how autonomy is governed, they can move faster, not slower. My focus remains on making agentic AI safe to scale by giving leaders, regulators, & builders confidence that autonomous systems can operate transparently, responsibly, and in alignment with real-world obligations.
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