Introduction
Modern businesses are complex ecosystems of diverse software and systems. Massive solutions like SAP or Workday coexist with vertical SaaS applications and bespoke databases, down to ten-megabyte Excel spreadsheets driving entire departments. Despite these tools, mundane, repetitive tasks persist. How is AI transforming this landscape?
The Illusion of Total Automation
It's tempting to believe AI will eliminate most of this software. According to a McKinsey study, about 60% of jobs can have at least a third of their activities automated. However, most employees are not tool-builders. They don't instinctively think about how their work could be done differently.
Take the example of a matrimonial lawyer: they focus on their cases and clients, not on legal discovery software. Similarly, an enterprise salesperson focuses on their products and clients, not on sales enablement software that could boost productivity.
The Impact of AI Tools
Tools like Excel attempt to bridge this gap with onboarding flows, assistants, and templates. For instance, Excel's templates suggest what you might do, but each template became a company in itself. Tools like Claude for X help but are not the ultimate solution.
A recent example is the integration of AI into CRM software. According to Salesforce, businesses using AI in their sales processes saw a 30% increase in productivity. This shows potential but also the need for targeted and thoughtful adoption.
Cultural Transformation
For AI and automation to be effective, there needs to be a cultural shift within companies. This requires 'forward-deployed engineers' - people who understand what AI can build and can identify automation opportunities across various industries.
In 2022, a Deloitte survey revealed that 68% of business leaders consider AI crucial for their future competitiveness, but only 20% have implemented strategies to integrate it effectively. This shows a gap between perception and action.
Conclusion
AI and automation promise to transform businesses, but this requires nuanced understanding and long-term commitment. Decision-makers must invest in education and training to leverage these technologies.
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