Customer service is one of the areas where AI has moved fastest from promise to practice. Rising customer expectations, real pressure on contact centre costs, and AI tools that can now handle a genuine proportion of customer queries without any human involvement have combined to create both an urgent opportunity and a crowded, sometimes confusing market for customer service and operations leaders trying to work out what to buy. In 2026, the market has moved well past basic ch

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

For most B2B sales organisations, the SDR function is simultaneously one of the most important and most expensive parts of the revenue machine - responsible for generating the qualified pipeline that feeds everything downstream, but also carrying high attrition, long ramp times, and significant per-head cost. AI sales agents have arrived as a direct challenge to that model. Unlike AI tools that assist human reps, these platforms act autonomously: they research prospects, writ

UK businesses evaluating CRM software in 2026 face a market that has shifted decisively towards AI. The three dominant platforms - Salesforce, Microsoft Dynamics 365, and HubSpot - have all launched autonomous AI agent capabilities in the past twelve months, compressing the gap between CRM as a record-keeping system and CRM as an active participant in the sales and service process. For UK buyers, this raises a practical question: how much of that AI capability will your team

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

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