Since ChatGPT took the world by storm, the breakneck pace of AI innovation shows no signs of slowing down. The rise of digital labour promises a near future of unprecedented productivity.
Yet scaling is proving a challenge. An array of technical and organisational challenges are hampering AI implementation efforts – exposing the pitfalls of DIY initiatives and underscoring the need for a trusted solution.
As we enter the agentic AI era, defined by systems capable of taking action without human intervention, the cost of getting AI wrong can be steep, both financially and reputationally. From AI-powered bots that make false promises, to copilots that potentially leak sensitive corporate data, the delta between expectation and reality remains an understandable dealbreaker for many enterprises. Indeed, Salesforce research shows that among executives, concerns over data security directly correlate to lower AI usage at work.
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