The majority of the global workforce does not sit at a desk. Frontline workers - in retail stores, on factory floors, in healthcare wards, on construction sites, behind the wheel of delivery vehicles - make up roughly 80 per cent of employees worldwide, yet for decades they have been an afterthought in enterprise communications technology. Standard tools assume a corporate email address, a company laptop, and a reliable Wi-Fi connection. For a nurse finishing a 12-hour night

Managing shift-based, hourly, and deskless workforces is difficult. Labour costs are under pressure, scheduling rules have multiplied, employee expectations around flexibility have risen sharply, and the consequences of getting it wrong - missed shifts, compliance breaches, or high attrition - are felt immediately on the operational bottom line. If you are running a retail estate, a care organisation, a logistics operation, or any business that relies on large numbers of fron

Enterprise sales has changed more in the last three years than in the previous decade. Buyers are better informed, sales cycles are longer and more multi-threaded, and the gap between top-performing and average sellers has widened to the point where it is one of the most commercially important variables a revenue leader can influence. Sales enablement software - the category of tools that equips sellers with the content, coaching, conversation intelligence, and engagement aut

Professional services businesses sell time, expertise, and outcomes - and the gap between firms that manage those resources with precision and those that do not is widening. Rising client expectations for project transparency, growing pressure on utilisation and margin, the shift to outcome-based and retainer billing models, and the increasing complexity of managing distributed, hybrid project teams have made technology investment a strategic priority across consulting, IT se

Finding information inside your own organisation has quietly become one of the most expensive unsolved problems in enterprise IT. Employees spend hours each week hunting for documents, policies, customer records, and institutional knowledge buried across dozens of disconnected systems. In 2026, the arrival of AI-powered search and retrieval-augmented generation (RAG) technology has turned enterprise search from a back-office utility into a strategic priority - and a fast-movi

Most HR leaders would agree that the systems holding their people data together are overdue for a rethink. Whether you are running a patchwork of legacy tools, a spreadsheet-heavy process, or an HRIS that has simply grown too rigid for the way your business operates today, the pressure to modernise core HR is real - and growing. In 2026, the market has never offered more credible options: cloud-native platforms have matured, AI-powered automation is transforming routine HR ad

Sales teams have always had more data than they know what to do with - call recordings no one listens to, CRM records that are out of date, pipeline figures that sales managers quietly adjust before presenting to the board. What is changing in 2026 is that AI is finally turning that data into something actionable at scale: accurate deal scoring, automatic call analysis, AI-generated follow-up content, real-time coaching during live conversations, and intent signals that ident

Artificial intelligence has moved from an experiment at the edge of the enterprise to the centre of how organisations plan to grow productivity, reduce operational overhead, and compete for talent. Every major software vendor now has an AI story, and a growing number of purpose-built Work AI platforms are entering the market with credible alternatives to the embedded offerings of Microsoft and Google. For IT leaders and business decision-makers, the challenge in 2026 is not f

Every organisation is sitting on a mountain of knowledge it can barely use. It lives in emails, chat messages, project management tools, shared drives, wikis, CRM records, HR systems, and dozens of other platforms that were never designed to talk to each other. Employees spend hours every week searching for information, waiting for answers, and repeating work that has already been done elsewhere in the business. The result is wasted time, slower decisions, and frustration at

If you work in IT, knowledge management, or enterprise productivity, chances are you've been hearing a lot about Glean. And if you haven't yet, you will. Founded in 2019 by former Google engineers Arvind Jain and T.R. Vishwanath in Palo Alto, California, Glean has grown with remarkable speed from a smart enterprise search tool into one of the most talked-about Work AI platforms on the market. With a valuation of $7.2 billion as of June 2025 and annual recurring revenue that