AI That Acts: How Autonomous Agents Are Rewriting Org Charts

Feb 18, 2026

Manoj Saxena, founder of Trustwise and pioneer behind IBM Watson, is a leading voice on ethical, agentic AI. He explores AI shifting from assistant to active participant. Short takes cover AI acting as a second workforce, HR-style onboarding and oversight for digital employees, the need for real-time governance and brakes on autonomous systems, plus new IP and trust-score ideas for managing agentic intelligence.

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INSIGHT

Big Engines Need Brakes

Current AI development focuses on ever-larger reasoning engines without corresponding control systems.
Autonomy without steering, brakes, or guardrails risks large-scale propagation of errors in physical systems.

ADVICE

Onboard Agents Like Employees

Treat every agent like a digital employee: give identity, permissions, scorecards, and audit trails before launch.
Drug-test and probation agents with red-teaming and monitoring to catch misalignment early.

ADVICE

Create An AI Control Tower

Build a safety and control layer — an AI control tower — to onboard, simulate, monitor, and manage agent drift.
Use continuous monitoring and updates rather than retroactive fixes after incidents occur.

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Manoj Saxena, Founder and CEO of Trustwise, explains why agentic AI represents a major shift inside organizations: from AI as a tool to AI as an active participant. He addresses the operational challenges that organizations face today, including AI-to-AI interactions, opaque decision-making, regulatory pressure, and the growing need for continuous oversight as AI systems gain autonomy.

Key Takeaways:

The ways AI agents are already taking on roles once owned by humans
How leaders should prepare for AI systems that negotiate, decide, and act independently
The emerging risks of AI acting without visibility, guardrails, or accountability
Why trust, safety, and governance must operate in real time, not retroactively
The organizational and cultural implications of humans managing AI agents

Guest Bio: Manoj Saxena is the Founder, CEO, and Chairman of Trustwise—an award-winning AI safety company focused on securing and governing agentic AI systems—and the Founder and Chairman of the Responsible AI Institute. Widely regarded as the "father of IBM Watson," Manoj is a pioneer of Trusted Artificial Intelligence (TAI) and a leading voice for ethical and responsible AI. He previously served as General Manager of IBM Watson and as Chairman of the Board at the Federal Reserve Bank of Dallas. A serial entrepreneur with over $1.8B in exit value across multiple startups, Manoj is also a lecturer at the University of Texas at Austin and a fellow contributor at University of Cambridge, where he teaches and advises on ethical AI and responsible leadership.

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