When Kate Jensen started in her role as Head of Global Revenue at Anthropic, she was tasked with measuring AI’s impact on her customers’ work — an increasingly common challenge across the industry given how AI can fundamentally change workflows…

Small businesses are using artificial intelligence to grow. And like their larger competitors, SMBs are relying on automated tools to help them accelerate repetitive tasks, reveal deeper insight on customer behavior, boost operational efficiency and lower costs.

In fact, artificial intelligence ranked at No. 1 in the SMB Group list of top 10 SMB technology trends for 2025. The report notes that the emergence of AI is leading most businesses with 20 or more employees to increase their technology investments. Of the SMBs surveyed, 35% are “slightly accelerating” and 27% are “significantly accelerating” their technology investments due to AI.

In this article, AArete outlines how C-level executives can move beyond point tools and pilot projects to build scalable AI + Robotic Process Automation (RPA) capabilities that deliver real enterprise value (not just cost savings).

For enterprise transformation leaders this means it’s time to move the conversation from “we can automate X” to “we can orchestrate a stream of automation-driven business outcomes.”

• Start by discovering the right use-cases (not just automating what’s easy).
• Build an intake and prioritization framework tied to business KPIs.
• Institutionalize governance, change-management, and measurement so automation becomes repeatable and predictable.

How are you prioritizing which business processes to automate first ...by feasibility, ROI or strategic impact?

Agentic AI is moving from hype to operational reality...autonomous systems that don’t just assist, but act.

AI is no longer just a feature...it’s becoming the foundation of the next-generation SaaS model.

McKinsey outlines how leading enterprise software companies are redesigning business models around AI value delivery, shifting from software that supports work to software that does the work.

How is your leadership team evolving its AI strategy?