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Anthropic just made its most capable model generally available. Before your teams pile in, understand what you’re buying and what it costs when agents run for days.
It has become almost a full-time job to stay current with the glut of news in the AI space. This weekly roundup will get you up to speed on the news and happenings with the big 5 AI vendors in the last week.
Cisco Live wrapped up in Las Vegas on June 4, and the theme was pretty consistent across announcements and sessions. Cisco wants to be the layer the agentic enterprise runs on, not a vendor of boxes that carry agent traffic.
From ICE contracts to mass layoffs, Hootsuite has faced considerable public controversy. The recent resignation of CEO Irina Novoselsky, replaced in interim by founder Ryan Holmes, indicates a strategic shift in response to challenges.
At Relate 2026, Zendesk pulled its agentic AI story together under a new “autonomous service workforce” label. Outcome-based pricing isn’t actually new in this market. Pure-play agent vendors have been billing on resolutions for years, so the core distinction is the platform Zendesk has built around the pricing: QA, workflows, audit trails, and admin. The employee service push and the work to integrate six recent acquisitions are both still in progress, and buyers should test the employee service crossover and the postacquisition integration directly before assuming the whole picture is settled.
mimik’s mimOE Studio is an early but credible device-first option for enterprises that want to limit cloud token spend and keep sensitive data off third-party infrastructure by running agentic AI on their own hardware.
We keep hearing that enterprise AI spending is up in many organizations, and the results are not remarkable. On April 9, 2026, ServiceNow announced it will no longer sell AI as an add-on, instead restructuring its commercial model to focus on AI and launching new features that let AI agents make organizational decisions without frequent human oversight.
At ZohoDay26, Info-Tech’s John Annand sat down with Ramprakash “Ram” Ramamoorthy (Director of AI Research at Zoho). Over a wide-ranging conversation, John and Ram discussed Zoho’s go-to-market strategy for AI capabilities. This note provides a structured summary of that interview.
Rajesh Ganeshan didn’t walk on stage at the recent ZohoDay (February 2026) to announce a new product or declare a category shift. He spent the time doing something more unusual in enterprise software: explaining why ManageEngine exists the way it does, and why that history suddenly matters again.
Anthropic just made its most capable model generally available. Before your teams pile in, understand what you’re buying and what it costs when agents run for days.
It has become almost a full-time job to stay current with the glut of news in the AI space. This weekly roundup will get you up to speed on the news and happenings with the big 5 AI vendors in the last week.
It has become almost a full-time job to stay current with the glut of news in the AI space. This weekly roundup will get you up to speed on the news and happenings with the big 5 AI vendors in the last week.
Cognigy Nexus 2026 was held recently in Munich. The event highlighted a meaningful shift in the agentic market for AI-powered customer service, with NiCE focusing less on the novelty of agentic AI and more on the disciplines required to run it effectively at scale (such as governance, interoperability, and platform-driven approach). Its announcements around automation discovery from interaction data, multivariate testing, multimodal orchestration, and MCP-based interoperability suggest NiCE Cognigy is aligning with what enterprise buyers increasingly need: a way to identify the right use cases, test agents rigorously, connect them across journeys and systems, and manage them as part of an operating model rather than a standalone tool. The strategy is directionally strong, but its real value will depend on whether Cognigy can translate these capabilities into repeatable customer outcomes – and whether use cases can scale not just from customer care, but also to sales and marketing.
This note examines whether “SaaSpocalypse” claims are valid, based on full-year results from 24 public companies that have significant customer experience (CX) SaaS offerings.
NiCE is positioning its CXone Mpower as a platform intended to help contact centers shift from cost centers into growth engines by using customer interaction data as enterprise intelligence.
Acquia Source brings CMS, DAM, web governance, Drupal hosting, and a new in-platform agentic AI layer into a single command center spanning SaaS and PaaS delivery, with the strategic bet that enterprises moving content operations into the AI era will value governed coordination and marketer-friendly Drupal alongside agentic speed. The architecture is well aligned for organizations already invested in Drupal, with broad MCP availability and bring-your-own-model support sitting on the near-term roadmap.
LighthouseIQ, launched on January 21, 2026, by Lighthouse Global is an AI intelligence platform purpose-built for eDiscovery. Outputs have been accepted by the Department of Justice and Federal Trade Commission on second-request matters. That is a production threshold most AI vendors in this space have not yet been required to clear.
Big change is at hand for CPQ vendors Conga and PROS, as the former acquired the latter in early 2026. Catering to different markets, the two products will remain distinct within the Conga Advantage platform. Conga intends to provide robust functionality across the commerce chain by rounding out existing CLM, CPQ, and document generation capabilities with strong pricing technology and new AI capabilities.
mimik’s mimOE Studio is an early but credible device-first option for enterprises that want to limit cloud token spend and keep sensitive data off third-party infrastructure by running agentic AI on their own hardware.
Snowflake’s announcement about Snowflake Intelligence and Cortex Code is quite in line with the general trend among major software vendors to build agentic AI platforms with control planes.
Boomi, long known as a tool for connecting business software systems, is shifting its focus to making enterprise data trustworthy enough for AI to use. Most failed AI projects don’t fail because the AI is bad. They fail because the data underneath is inconsistent, poorly defined, or scattered across systems that don’t agree with each other. We look at how Boomi’s data and governance tools address that problem, and what technology leaders should weigh when evaluating integration platforms in the AI era.
Epicor Insights 2026 marked the company’s shift from ERP as a system of record to a system of action, with live agentic AI demos showing measurable freight cost recovery, AI-driven shop floor replanning, and cloud migrations compressed to weeks.
The Infor Analyst Innovation Summit offered a clear view of what operational readiness looks like as agentic AI moves from experimentation into production. The key takeaway was that success depends less on model sophistication than on foundational discipline: shared semantics, documented processes, clean data, and clear delegation and control.
We keep hearing that enterprise AI spending is up in many organizations, and the results are not remarkable. On April 9, 2026, ServiceNow announced it will no longer sell AI as an add-on, instead restructuring its commercial model to focus on AI and launching new features that let AI agents make organizational decisions without frequent human oversight.
Contract Logix, now part of LegalSifter, is a mid-market CLM platform that focuses on rapid deployment and operational simplicity, prioritizing usability and cost control over deep customization and advanced AI-driven contract intelligence.
Big change is at hand for CPQ vendors Conga and PROS, as the former acquired the latter in early 2026. Catering to different markets, the two products will remain distinct within the Conga Advantage platform. Conga intends to provide robust functionality across the commerce chain by rounding out existing CLM, CPQ, and document generation capabilities with strong pricing technology and new AI capabilities.
Conga is making a deliberate bid to become the control plane for enterprise commerce, not just a CPQ vendor with adjacent features. The PROS acquisition closes a structural pricing gap and accelerates Conga's AI roadmap, while the commerce chain narrative reframes how revenue work should flow end to end. If Conga executes well, it will be a default platform for complex enterprises. If it stumbles, it remains a strong but bounded CPQ incumbent.
Workday has spent eighteen months acquiring the pieces – Sana Labs, Pipedream, Flowise – and the March 2026 global launch is where they converge. The result is an AI layer embedded directly in the system of record, capable of executing tasks, not just suggesting them. For HR and finance leaders in Workday shops, the embedded execution layer raises the bar for any team still considering a custom build.
In an analyst briefing, Zoho provided updates to Zia's capabilities for finance use cases. Specifically, Zoho emphasized reconciliation, reporting, and proactive insights, with a showcase of its new enterprise billing and spend management products.
UKG, a leader in HR management systems, has introduced their Workforce Operating Platform. This platform unifies human capital management, workforce management, and payroll, coupled with its Bryte AI technology. The Workforce Operating Platform aims to help retail, manufacturing, and healthcare institutions manage complexity while simplifying and streamlining processes for frontline workers.
It has become almost a full-time job to stay current with the glut of news in the AI space. This weekly roundup will get you up to speed on the news and happenings with the big 5 AI vendors in the last week.
Cisco Live wrapped up in Las Vegas on June 4, and the theme was pretty consistent across announcements and sessions. Cisco wants to be the layer the agentic enterprise runs on, not a vendor of boxes that carry agent traffic.
It has become almost a full-time job to stay current with the glut of news in the AI space. This weekly roundup will get you up to speed on the news and happenings with the big 5 AI vendors in the last week.
Cisco Live wrapped up in Las Vegas on June 4, and the theme was pretty consistent across announcements and sessions. Cisco wants to be the layer the agentic enterprise runs on, not a vendor of boxes that carry agent traffic.
Most enterprises already believe in open source. What they cannot do is operationalize it. Red Hat's Open Source and AI Program Office targets that execution gap with governance frameworks, contribution models, and executive alignment tools meant to convert open-source values into repeatable workflows.
Adobe introduced CX Enterprise as an agentic AI platform designed to help brands create content, improve visibility in AI-driven discovery, and orchestrate personalized engagement.
Cisco Live wrapped up in Las Vegas on June 4, and the theme was pretty consistent across announcements and sessions. Cisco wants to be the layer the agentic enterprise runs on, not a vendor of boxes that carry agent traffic.
Cisco spent the last 18 months acquiring its way into AI security, and at the April 2026 analyst briefing, the full picture came together. Cisco is presenting an end-to-end story for a question that many have not yet considered: What happens when the entity accessing your systems is not a person?
Databricks spent years as a quiet data infrastructure company. It did not chase security headlines. It built the platform where enterprise data lives. Databrick’s Lakewatch, launched in March 2026, is what happens when you stop treating security as a separate application and run it directly inside that platform instead. For existing Databricks customers, this is not a new vendor decision. It is a question of whether the infrastructure they already own can replace a tool they are probably overpaying for.
From ICE contracts to mass layoffs, Hootsuite has faced considerable public controversy. The recent resignation of CEO Irina Novoselsky, replaced in interim by founder Ryan Holmes, indicates a strategic shift in response to challenges.
Adobe introduced CX Enterprise as an agentic AI platform designed to help brands create content, improve visibility in AI-driven discovery, and orchestrate personalized engagement.
Conductor has evolved beyond its traditional identity as an enterprise SEO platform and now positions itself as an AI search visibility and answer engine optimization (AEO) operating layer, reflecting the broader industry shift toward AI-mediated discovery. This repositioning emphasizes visibility across both search engines and AI-generated answer environments.
We keep hearing that enterprise AI spending is up in many organizations, and the results are not remarkable. On April 9, 2026, ServiceNow announced it will no longer sell AI as an add-on, instead restructuring its commercial model to focus on AI and launching new features that let AI agents make organizational decisions without frequent human oversight.
In a world where understanding of the power of AI is still confusing, ServiceNow has excellent messaging on what AI can actually achieve in an enterprise. Through TV ads and ads in the Wall Street Journal, the messaging has been clear: AI can assist and improve efficiency. With their recent announcement (February 2026) of two major launches – Autonomous Workforce and Employee Works – ServiceNow underscores the shift of AI from “answer engines” to “actually finishing the job.” With this announcement their message is clear: the era of AI experiments is over; AI operations at scale have begun. And ServiceNow wants to be the control tower that runs all of it.
ServiceNow exceeds guidance as enterprise AI adoption accelerates growth, margin, and cash flow. Now Assist ACV tops $600M and heads toward a $1B run rate while customers commit at scale.
We keep hearing that enterprise AI spending is up in many organizations, and the results are not remarkable. On April 9, 2026, ServiceNow announced it will no longer sell AI as an add-on, instead restructuring its commercial model to focus on AI and launching new features that let AI agents make organizational decisions without frequent human oversight.
In a world where understanding of the power of AI is still confusing, ServiceNow has excellent messaging on what AI can actually achieve in an enterprise. Through TV ads and ads in the Wall Street Journal, the messaging has been clear: AI can assist and improve efficiency. With their recent announcement (February 2026) of two major launches – Autonomous Workforce and Employee Works – ServiceNow underscores the shift of AI from “answer engines” to “actually finishing the job.” With this announcement their message is clear: the era of AI experiments is over; AI operations at scale have begun. And ServiceNow wants to be the control tower that runs all of it.
ServiceNow exceeds guidance as enterprise AI adoption accelerates growth, margin, and cash flow. Now Assist ACV tops $600M and heads toward a $1B run rate while customers commit at scale.
We keep hearing that enterprise AI spending is up in many organizations, and the results are not remarkable. On April 9, 2026, ServiceNow announced it will no longer sell AI as an add-on, instead restructuring its commercial model to focus on AI and launching new features that let AI agents make organizational decisions without frequent human oversight.
Salesforce is working toward a future where humans, systems, and agents are positioned together to get work done. Within this framework, Salesforce is adding flow-native Intelligent Document Processing (IDP) to their MuleSoft offering. This builds on optical character recognition (OCR) by using AI to classify documents, extract key fields, and route structured data into workflows.
Asana has introduced new AI features aimed at expanding its work management platform with agent‑driven automation. The core capability, AI Teammates, enables AI to directly support task execution, content creation, and workflow progression rather than serving only as a passive assistant. These capabilities are most beneficial for organizations that already maintain structured, consistent usage of Asana across teams.
At Relate 2026, Zendesk pulled its agentic AI story together under a new “autonomous service workforce” label. Outcome-based pricing isn’t actually new in this market. Pure-play agent vendors have been billing on resolutions for years, so the core distinction is the platform Zendesk has built around the pricing: QA, workflows, audit trails, and admin. The employee service push and the work to integrate six recent acquisitions are both still in progress, and buyers should test the employee service crossover and the postacquisition integration directly before assuming the whole picture is settled.
The Infor Analyst Innovation Summit offered a clear view of what operational readiness looks like as agentic AI moves from experimentation into production. The key takeaway was that success depends less on model sophistication than on foundational discipline: shared semantics, documented processes, clean data, and clear delegation and control.
We keep hearing that enterprise AI spending is up in many organizations, and the results are not remarkable. On April 9, 2026, ServiceNow announced it will no longer sell AI as an add-on, instead restructuring its commercial model to focus on AI and launching new features that let AI agents make organizational decisions without frequent human oversight.
The Infor Analyst Innovation Summit offered a clear view of what operational readiness looks like as agentic AI moves from experimentation into production. The key takeaway was that success depends less on model sophistication than on foundational discipline: shared semantics, documented processes, clean data, and clear delegation and control.
The Cisco AI Summit (Feb. 2026) addressed the accelerating maturity of AI adoption inside enterprises. Leaders across infrastructure, security, design, systems, and geopolitics emphasized that organizations are now moving from exploratory experimentation to a period requiring architectural reinvention, measurable outcomes, and new forms of workforce enablement.
mimik is the first company we've encountered that discusses how to operationalize billions of agents to perform tasks in the physical world, not only within software workflows but also in industrial processes. The company’s core thesis is that the existing cloud-first mobile internet infrastructure is a legacy bottleneck that is unsustainable for the computational, cost, and energy demands of agentic AI. Powered by mimik, DFC-AI seeks to fundamentally reorganize compute distribution by prioritizing the edge.
