Scaling AI Responsibly Takes More Than Automation
SMBs are accelerating toward agentic AI, autonomous systems that can plan, act, and learn. Yet for most, deployment stops at the pilot stage.
In 2025, 86% of SMBs anticipate heightened AI risks, while only 2% meet responsible AI maturity standards (Infosys Knowledge Institute, 2025). Another global survey found that three in four security leaders view AI agents as their next major attack surface (SailPoint Technologies, 2025). The challenge isn’t building the model, it’s operationalizing it responsibly.
This whitepaper outlines how regulated organizations can move from experimentation to sustained, compliant AI operations. You’ll learn how to align governance, data integrity, and human oversight so agentic systems don’t just run; they endure.
Who Should Read This
- CIOs, CTOs, and CISOs building SMB-wide agentic AI frameworks
- Regulatory and risk officers translating policy into system-level governance
- Transformation leaders scaling beyond fragmented AI initiatives
- Data and compliance executives balancing innovation with accountability
Stop testing. Start governing.
Selected References
Infosys Knowledge Institute. (2025). Responsible SMB AI in the agentic era.
SailPoint Technologies. (2025). AI agents: The new attack surface.
Klein, B., Lewis, C., & Isenberg, R. (2025). Deploying agentic AI with safety and security. McKinsey & Company.
Deloitte. (2025). 2025 digital transformation survey. Tuohy, B. (2025). Agentic AI compliance and regulation: What to know. TechTarget.