The Gist
In the world of enterprise AI, simply adding generative AI tools to existing workflows isn’t enough. Organizations must redesign their workflows to leverage AI effectively, transforming fragmented processes into cohesive systems that complete work autonomously.
How It Worked
Rather than just implementing AI to assist with existing tasks, the focus shifted to creating Agentic AI systems capable of executing workflows end-to-end. This involved developing a harness around the AI model that incorporates business context, automating the selection of the right tools and actions needed to complete requests. For instance, when onboarding a new hire, the AI coordinated interactions across HR, IT, payroll, and compliance systems, which were previously disconnected.
Results
The results were significant: a global manufacturer saw the average approval process time drop from 10 hours of VP time to under 10 minutes. Additionally, service desk requests began resolving without human intervention, leading to a dramatic decrease in live agent chat volumes within days. The cumulative efficiency gains translated into a more productive workforce, with employees now focusing on higher-value tasks rather than coordination overhead.
Why It Matters for You
For businesses looking to leverage AI, the key takeaway is to embed AI deeply into the operational fabric rather than layering it on existing workflows. Start by identifying the most time-consuming manual processes and automating them with AI. By mapping out where your team's time is spent on coordination, you can create a targeted roadmap for AI implementation. Begin with one workflow, demonstrate its value, and allow for compounding efficiencies to emerge as your systems learn and adapt.
