Scaling AI Automation Across the Enterprise
Strategies for expanding AI automation from pilot projects to enterprise-wide deployment.
TL;DR
Scaling AI automation requires a platform approach, reusable components, self-service enablement, governance that enables innovation, and change management. Build a Center of Excellence to accelerate adoption.
The Platform Approach
Rather than building one-off solutions, invest in a platform with shared services, reusable components, and standardized patterns. This reduces development time and ensures consistency.
Building a Center of Excellence
A Center of Excellence provides expertise, governance, and enablement. It maintains standards, shares best practices, and helps teams across the organization adopt AI automation.
Self-Service Enablement
Empower business teams to build their own automations within governed frameworks. Provide low-code tools, templates, and training. Reserve complex development for specialized teams.
Change Management
Technology alone does not drive adoption. Invest in communication, training, and change management. Address concerns about job displacement. Celebrate successes and share learnings.