The Passive AI Era is Over: Governance of Autonomous AI Agents in the… | Nita Laad | 18 comments
The biggest shift in enterprise AI isn't a new model—it's autonomy. AI is moving from performing static actions and information processing to active and autonomous decision making across your tech stack. As agents begin interacting with financial systems, ITSM and customer records, the old governance playbooks are obsolete. CISOs, AI Ethics Officers, and Legal leaders are facing a critical new question: How do we balance useful autonomy with non-negotiable guardrails? With regulations like the
Enterprise AI for Employee Productivity: From Pilot to Production to ROI | Nita Laad | 10 comments
đŸ§§ The stats are sobering: McKinsey says 78% of companies are using AI, yet MIT reports 80%+ of pilots never scale beyond POC. We're all investing, but are we strategically building for ROI? đŸ§§ Having led multi-billion dollar product portfolios and incubated next-gen AI platforms, I've seen firsthand that Enterprise AI isn't a tech rollout—it's a full-scale digital transformation. Misaligning strategy, underestimating data complexity, or overlooking change management are direct routes to P&L r
Power of an Agent based Architecture in your AI software solution stack | Nita Laad
Agentic architectures are gaining rapid traction in Software stacks of AI solutions. In this article, I am taking a trip down memory lane to mobile agent architecture development, research and prototyping that I led at ​San Jose State University alongside Dr Gilda Pour in a prestigious co-sponsored project by IBM and HP which was accepted and published in international publications and conferences including IEEE. AI has significantly increased the application and adoption of mobile agents int