AI Integration Fails to Deliver Value Without Workflow Reform
A top executive at Docusign warns that AI projects underperform when bolted onto existing processes, instead advocating for workflow redesign to unlock its full potential. This comes as businesses struggle to integrate AI into their operations, often focusing on the wrong areas. The General Manager for EMEA at Docusign emphasizes the need to rethink how tasks move across teams and how people interact with each other. The issue is not a lack of access to intelligent tools, but poorly designed workflows that hinder AI's effectiveness.
Key points
- Docusign's General Manager for EMEA, AI integration fails to deliver value when bolted onto existing processes.
- Businesses struggle to integrate AI into their operations, often focusing on the wrong areas.
- The key to AI's effectiveness lies in redesigning existing workflows to automate repeatable tasks and apply consistent policy checks.
- Contract management is a prime example of where AI can add value, but only when integrated into the workflow, not as a separate layer.
As the tech industry continues to push the boundaries of artificial intelligence (AI), a growing number of businesses are struggling to integrate it into their operations. According to a top executive at Docusign, this is not due to a lack of access to intelligent tools, but rather poorly designed workflows that hinder AI's effectiveness.
In an interview, the General Manager for EMEA at Docusign emphasized the need to rethink how tasks move across teams and how people interact with each other. He argued that AI projects underperform when they're bolted onto broken processes, instead advocating for workflow redesign to unlock its full potential.
Contract management is a prime example of where AI can add value, but only when integrated into the workflow, not as a separate layer. By automating repeatable tasks, applying consistent policy checks, and helping teams move faster without losing control, AI can significantly improve the efficiency and accuracy of agreement work.
However, many users treat AI as a layer when deeper results come from reworking how tasks move across teams and how people spend their time interacting with each other. This highlights the need for a more nuanced approach to AI integration, one that prioritizes workflow reform over simply adding more tools to the mix.
Sources
The WireByte editorial team synthesises technology news from multiple primary sources, verifies the facts, and links every source. Articles are produced with AI assistance and reviewed under our editorial policy.