Most businesses don’t have an AI problem. They have a context problem.

Automation began with a straightforward ambition: remove repetitive work. If something followed a predictable set of rules, technology could usually do it faster, helping people save time and reduce manual effort. 

Today, AI is changing that. The biggest opportunity is no longer automating individual tasks. It’s removing the friction that slows work down between those tasks. Because for most organisations, the biggest barrier to productivity isn’t creating work, it’s keeping it moving. Ideas can now become presentations, proposals or reports in minutes. But they still need to be reviewed, discussed, approved, signed and stored. They still move between people, teams and systems. Every handoff creates another opportunity for work to stall. 

It’s a challenge that many businesses are already grappling with. McKinsey recently found that while almost every organisation is investing in AI, only 1% believe they’ve reached maturity in how they use it. That tells us the next stage isn’t simply adding more AI tools. It’s embedding intelligence into the everyday flow of work, so progress happens with fewer interruptions and less manual coordination. 

The hidden cost of disconnected work 

Most businesses don’t lose hours because of one major bottleneck. They lose minutes, hundreds of times a day. Someone searches for the latest version of a proposal. A meeting is delayed while people try to gather the information they need. A project pauses due to a missing signed approval. Teams switch between different applications to piece together the context they need before making a decision. 

Individually, these moments seem insignificant. Together, they’re what create the stop-start nature of modern work. 

The challenge isn’t a lack of technology. It’s that work rarely lives in one place. A single project might begin in Microsoft Word or Google Docs, be discussed in Slack or over Zoom, sent for signature through Dropbox Sign, and then the project moves into delivery, with documents, approvals and agreements stored across multiple systems. Each tool plays an important role, but every transition creates another opportunity for information to become fragmented.  

That fragmentation doesn’t just slow people down, it limits what AI can do, because when content, conversations and agreements are disconnected, AI can only see snippets instead of the full picture. It can help complete individual tasks, but it struggles to understand the wider context that helps to actually move work forward. 

Where work comes together 

The answer isn’t to replace the tools people already use. Businesses will always rely on different applications for creating content, collaborating, communicating and signing agreements. ​​The real opportunity is to create one organised, secure place where work stays connected from start to finish. 

​​​​Rather than forcing teams to change how they work, modern collaboration platforms can act as the connective layer across the tools organisations already use.

That connected foundation becomes even more valuable in an AI-powered world. When documents, approvals and agreements are kept together in a single, organised and secure place, AI-powered search can understand context rather than relying on keywords or file names. Instead of remembering exactly what a document was called or where it was saved, people can simply ask for the proposal they shared with a customer last quarter, or the contract that approved a particular piece of work. AI can then draw on the wider context surrounding that content—related documents, previous decisions and completed agreements—to surface the right information with a more complete answer. 

As projects evolve, that context continues to grow. Documents remain connected to conversations, completed agreements automatically become part of the wider project record, and information stays organised in one secure place. So, instead of spending time recreating context, people and AI always have access to a richer understanding of the work, allowing teams to make faster decisions and keep projects moving. 

Context is the new competitive advantage 

The conversation around AI often centres on what the technology can create. But as organisations move from experimentation to adoption, the bigger question is what AI can understand. 

Without context, even the most advanced AI can only work with fragments. With the right foundation, it can connect information, surface knowledge and help people make better decisions, faster. 

We’re already seeing this reflected in the way the AI ecosystem is evolving. As organisations look to get more value from AI, foundational AI models are increasingly integrating with trusted business platforms. By connecting secure organisational information directly into the chat and productivity experiences people already use, businesses can give AI access to the right information at the right time—helping it understand and work with the content that powers the organisation. 

That’s why the next wave of productivity won’t come from adding more AI into the workplace. It will come from giving AI the connected, trusted context it needs to understand how work moves across an organisation. Because the businesses that benefit most from AI won’t simply create work faster. They’ll be the ones that can keep it moving.