Customer service teams are caught between two competing pressures: customers who expect faster, more personalised resolutions across more channels, and organisations that cannot continue adding headcount every time service volumes grow. AI customer service agents have emerged as the most direct response to that tension - software that can handle enquiries, resolve issues, and guide customers to outcomes without a human agent needing to be involved at every step. The market ha

Enterprise brands spend significant time and budget on customer communications without always being confident the messages are getting through. Mitto is a Communications Platform as a Service (CPaaS) provider built to solve exactly that problem, offering enterprises a reliable, globally connected platform for SMS, voice, and chat app messaging at scale. Headquartered in Zug, Switzerland, Mitto has built a reputation for delivery quality and carrier reach that larger, more gen

Net revenue retention has become the defining metric of B2B software businesses in 2026. In a market where new logo growth is harder and more expensive than it was three years ago, the commercial case for investing in customer success has never been clearer - and the technology that enables it has matured significantly. Customer success platforms have moved from glorified CRM overlays tracking health scores in spreadsheets to genuinely sophisticated systems that aggregate pro

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

Customer data has never been more abundant, and customer intelligence has rarely been harder to act on. Most organisations now collect behavioural, transactional, and demographic data across dozens of touchpoints - website, app, email, in-store, call centre, CRM, loyalty programme - but that data sits in separate systems, owned by separate teams, producing separate views of the customer that cannot easily be reconciled. The result is the personalisation gap: knowing in theory

Most organisations now have more data about how users interact with their digital products than they know what to do with. Page views, session durations, funnel drop-off rates - the dashboards are full, but the question that actually matters is still hard to answer: why are people leaving, and what can we do about it? Digital experience analytics exists to close that gap, connecting quantitative behaviour data with qualitative insight to give product, UX, and marketing teams

If your sales team is spending more time building quotes than closing deals - or if pricing errors and approval bottlenecks are slowing down your revenue cycle - you are not alone. For businesses selling configurable products or complex services, the quoting process is one of the most friction-heavy parts of the sales motion, and one of the most expensive to get wrong. Configure, Price, Quote (CPQ) software exists to solve exactly that problem: replacing manual, error-prone q

Customer service is now one of the key battlegrounds for AI in the enterprise. The combination of rising customer expectations, contact centre cost pressures, and genuinely capable AI that can now resolve a meaningful proportion of customer queries without human involvement has created both an urgent opportunity and a significant evaluation challenge for customer service and operations leaders. In 2026, the market has moved well beyond basic chatbots and canned response sugge