Salesloft is one of the best-known sales engagement platforms on the market, used by sales development and account teams to run cadences, calls, and emails at scale, and it has expanded into forecasting, deal management, and conversation intelligence in recent years. In December 2025 it completed its merger with Clari, the revenue intelligence vendor, and the combined business is now building what it calls a predictive revenue system under a new CEO. For many customers that i

AI has moved faster in HR than in almost any other part of the enterprise software market. It should be no surprise, though, as this is an obvious place to target the improvements that AI surely will bring. Two years ago, most HR teams were experimenting with an intranet chatbot or a writing assistant for job adverts. Today a new group of vendors is putting AI agents to work across hiring, skills, internal mobility, employee service, coaching and workforce planning, and the l

Choosing an endpoint management platform is a decision that shapes IT operations and security posture for years, not months. Once a platform is deployed across your device estate it becomes the backbone of patch management, compliance reporting, and increasingly security response, which makes switching disruptive and costly, and makes the initial selection worth getting right. This guide sets out a definitive, practical process for choosing endpoint management software: what

Viewpoint Analysis is a Technology Matchmaker, we sit between AI vendors and enterprise buyers, researching the AI market and helping the wider IT buyer community understand their AI software options. A key part of what we do is help buyers not only understand a busy (and very new) technology marketplace, but also navigate the selection process. As an AI Software Selection Consultant, we provide a range of services all designed to take the weight off the purchasing team and g

Most finance teams have automated invoicing, added AR software for collections and dunning, and built dashboards that track days sales outstanding. Cash application, the step where an incoming payment is actually matched to the right open invoice, is often still handled by hand: a person opening a bank statement, reading a remittance email, and deciding where a payment belongs. That gap is getting harder to defend in 2026, as a new generation of AI-native tools reach match ra

Who are Monk, the AI Accounts Receivable Software Company? Monk is a New York-based software company that builds AI-native accounts receivable (AR) automation for business-to-business finance teams. Founded by George Kurdin and Joe Zhou, the company came out of stealth in October 2025 and has grown quickly since, automating the invoice-to-cash cycle for a mix of AI-native technology companies and more traditional B2B businesses. The platform handles invoicing, collections, ca

Security teams are drowning in alerts, chronically understaffed, and expected to contain incidents faster than ever, even as attack surfaces multiply across cloud, identity, and endpoint environments. Security automation platforms, commonly known as SOAR (Security Orchestration, Automation and Response), have moved from a nice-to-have for the largest SOCs to a practical requirement for any team trying to close the gap between detection and response, and 2026 has brought a fre

If you have noticed a strikingly lifelike avatar greeting you on a vendor's website lately, answering technical questions on a live demo call, or guiding you through onboarding, there is a good chance it was built on 1mind. The San Francisco-based company has built one of the more talked-about platforms in the AI sales agent space, with named, photorealistic AI “Superhumans” that take on roles traditionally filled by SDRs, sales engineers, and customer success managers across

Manufacturing operations leaders face a familiar paradox in 2026: more data than ever from the shop floor, and less time than ever to act on it. AI is the answer the industry has been waiting for, but the vendor landscape has fragmented quickly across quality control, predictive maintenance, production scheduling, and connected workforce tools, making it difficult to identify which platforms address real operational problems and which are still in the pilot stage. This post

Hiring has changed faster in the past two years than in the previous decade. AI is now embedded across every stage of the talent acquisition funnel - sourcing passive candidates, screening applications at scale, conducting first-round video interviews, and scheduling at speed. For talent acquisition leaders managing high volumes or competing for scarce skills, the pressure to find and adopt the right AI recruiting platform has moved from aspiration to operational priority.

Procurement has spent years being underserved by technology. The tools existed, but they were slow, rigid, and built around process compliance rather than decision support. In 2026, that is changing fast. AI is now embedded in sourcing, supplier management, contract review, and spend analysis in ways that are materially changing how procurement teams operate and the value they can demonstrate to the business. The shift matters because procurement sits at the intersection of c

Enterprise AI assistants have become one of the most actively evaluated technology categories in 2026. Organisations that spent the last two years exploring AI in controlled pilots are now facing a practical decision: which platform to deploy at scale, to which teams, and in support of which business outcomes. The market has matured significantly. Where early enterprise AI conversations centred on productivity gains from drafting and summarisation, the focus has shifted to ag

Organisations deploying AI at scale are facing a question that did not exist five years ago: how do you govern something that makes decisions, produces outputs, and influences outcomes in ways that are not always predictable or explainable? The EU AI Act has moved from regulation in principle to regulation in practice, and boards, risk committees, and regulators are all asking harder questions about how AI models are validated, monitored, and controlled. For many enterprises,

Supply chain planning has rarely been under more scrutiny than it is in 2026. The disruptions of recent years - from pandemic-era demand shocks to geopolitical instability affecting sourcing and logistics - have exposed the fragility of planning processes built on static models, annual cycles, and spreadsheet-driven assumptions. The organisations that came through those disruptions best were those that could sense change early, model scenarios quickly, and replan at a speed t

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

Finance transformation has been a recurring promise for two decades, but in 2026 the AI disruption is real. CFOs who spent the last few years watching vendors bolt AI labels onto legacy features are now seeing a different picture - a generation of platforms that have rebuilt core finance processes around machine learning, and a set of specialist AI-native vendors who have earned serious enterprise credentials by delivering measurable outcomes in areas like autonomous close, a

Retail has always been a margin game - but AI is changing the rules of how those margins are won and lost. From demand forecasting that learns from thousands of signals in real time, to personalisation engines that adapt every customer interaction individually, to autonomous pricing that responds to competitor moves in minutes rather than days, artificial intelligence is no longer a future investment for retailers - it is becoming the baseline requirement for competing effect

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

Supply chain teams are under more pressure than ever to plan accurately, respond to disruption fast, and do more with leaner resources. The tools that got businesses through the last decade - spreadsheet-driven planning cycles, legacy APS systems, and manual exception management - are struggling to keep pace with the speed and complexity of modern supply chains. AI is changing what is possible in supply chain management. A new generation of platforms uses machine learning, re