Adaptavist

Are the real implications of ignoring 'The human cost of AI transformation' already being felt? According to this feature in diginomica, organisations are beginning to wise up to the threat of growing career uncertainty around AI. The piece highlights critical findings from Adaptavist’s latest research report, which reveals a potential ‘white-collar exodus' of professionals where: ▪️ 33% of knowledge workers are now considering changing industries to escape from the shadow of AI. ▪️ 42% of Gen Z tells us they prefer working life before AI. ▪️ Over a third (34%) of workers say AI has made them consider retiring earlier than planned. The article highlights that while technological evolution inevitably creates new opportunities, short to medium-term disruption may leave talent feeling stranded. 👉 Link in the comments below for the full breakdown. #FutureOfWork #AItransformation #WorkforceStrategy #Adaptavist #digitaltransformation

42% of employees spend more time verifying AI output than they save by using it. 🗞️ While vendor models often highlight how much time autonomous agents save, they underestimate the invisible line item: the human cost of AI supervision. Our latest research, ‘The human cost of AI transformation’, is featured in Reworked. The data shows that between verifying outputs and correcting colleagues' AI-generated work, the verification burden is a huge, unmeasured barrier to true AI ROI. Read David Barry's full breakdown below on why measuring enterprise AI ROI is a structural challenge, and how organisations can accurately trace the causal chain of their investments. Are you tracking the ratio of human oversight required for your AI deployments? Let's discuss in the comments. #EnterpriseAI #AIROI #DigitalWorkplace #TechLeadership #Adaptavist

When a project management setup needs to connect 3,200 employees, 160 offices, 15 business units and senior leadership, visibility matters. For Asepeyo monday.com had already become a key part of its ICT project management function. But the team wanted to go further. The goal was to improve workflows, foster better communication among team members, and increase transparency into the current status of every project. Adaptavist helped Asepeyo get more from monday.com, supporting the team with expert guidance, training and coaching. The result is a more centralised way of working, connecting 121 knowledge workers and giving business units better visibility across ICT projects. Scroll through the carousel for the key takeaways, then read the full case study, linked in the comments. #projectmanagement #workflowoptimisation #ictprojects #centralisedwork

GitLab Transcend 2026 just wrapped, and the announcements signal a real shift in how enterprises will approach agentic software delivery. From a rebuilt Git infrastructure capable of handling agent-scale concurrency, to GitLab Orbit's unified context graph, governance controls for every agent action, and the new GitLab Flex buying model, it's clear GitLab is building for a world where AI agents are doing the heavy lifting. We were there, and we've broken down what each announcement actually means for engineering teams and the organisations supporting them. Read our blog, link in the first comment below. ↘️ #GitLabTranscend #AgenticAI #DevSecOps #GitLab #Adaptavist

What does a successful enterprise service management transformation actually look like in numbers? MRI Software underwent a transformation from ServiceNow to Jira Service Management and delivered: ▪️ 50% growth in users ▪️ 50% forecasted reduction in platform costs ▪️ High CSAT and SLA performance maintained ▪️ Automation already resolving requests without human intervention This wasn't just a platform migration. It was an operational transformation focused on scalability, efficiency, and user experience. See how we supported MRI with their transformation, and the data-backed outcomes they were able to realise. Read the full case study below. ⤵️ #ITSM #ServiceNow #JiraServiceManagement #DigitalTransformation

How do you bring more structure and control to your ScriptRunner migration? Moving from Atlassian Data Center to Cloud, business-critical Marketplace apps like ScriptRunner need their own dedicated plan – including scripts inherited from people who've long since moved on. The ScriptRunner Migration Suite is a collection of product-specific tools designed to simplify and accelerate your end-to-end ScriptRunner migration. Using AI where it helps most, grounded in product knowledge and validation steps, ScriptRunner Migration Suite is purpose-built to read structure, surface constraints, and give your team the context to confidently optimise ScriptRunner in its new home in the cloud. Adaptavist experts make this even easier. We use ScriptRunner Migration Suite to understand the 'what' and 'how' behind your ScriptRunner migration, with the 'why' coming from our extensive experience with ScriptRunner and cloud transformation. Go from plugging leaks to a cohesive cloud transformation plan across your Atlassian apps, Marketplace apps including ScriptRunner, software integrations, and realise the value of Atlassian Cloud faster, with our FastShift Complete solution. #Atlassian #ScriptRunner #CloudMigration #JiraCloud #FastShiftComplete

Engineering leaders are being pulled in three directions at once: ship faster, adopt AI carefully, and justify every pound spent. The blocker is usually the same thing: infrastructure that wasn't designed for this. This carousel covers four areas where platform engineering actually moves the needle: ▪️ Developer experience and onboarding friction ▪️ Governance and continuous compliance ▪️ Safe, governed AI adoption ▪️ Measuring what actually matters If you're making the internal case for platform investment, the white paper is worth a read. 👇 #PlatformEngineering #EngineeringLeadership #DeveloperExperience #TechStrategy #CTO

AI technologies are designed to increase productivity and efficiency. But are they actually introducing new layers of effort and psychological strain? Our latest research report, Understanding the human cost of AI transformation, highlights a hidden friction point that leaders need to take notice of: rather than alleviating burdens, these tools can create even more work and time pressures for teams. Despite the promise of seamless automation, our data shows that AI can introduce digital friction in fact, 55% of workers believe AI-generated content reduces overall team efficiency. Look closely at your own organisation: 𝗮𝗿𝗲 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺𝘀 𝗴𝗲𝗻𝘂𝗶𝗻𝗲𝗹𝘆 𝗺𝗼𝗿𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗲 𝘂𝘀𝗶𝗻𝗴 𝗔𝗜? The complete data and insights are available in our full research report, linked in the comments section. ↘️ #AI #Technostress #DigitalTransformation #FutureofWork #Leadership

Is AI adoption unintentionally lowering employee engagement? Our latest global report, ‘The human cost of AI transformation,' was recently featured in Insight, highlighting that conversations around AI are shifting towards a critical workplace challenge: managing employee sentiment. While organisations continue to focus on technical deployments, the cultural impact of rapid automation with AI is being overlooked: 24% of employees feel their hard-earned personal expertise is less valued by their employer since AI became widely adopted. Read the full report via the comments below to explore the data and access expert insights for building a culture of empowerment and confidence around AI. 👇 #FutureOfWork #WorkplaceCulture #AITransformation #TalentRetention #Engagement

Is your AI strategy maximising human potential—or stifling it? The human cost of AI transformation is real. Behind every efficiency gain is a person adapting to an evolution in their role. The quiet shift from creating work to verifying AI output is adding real cognitive and emotional load to people's working lives—and leaders need to take that seriously. New data from our latest report, ‘The human cost of AI transformation’, reveals a new working reality: ▪️ 42% of workers spend more time verifying AI output than they save using it ▪️ 36% of workers often do not understand why they are expected to use AI in their role ▪️ 36% report AI fatigue, leading to reduced usage of tools altogether Swipe through the carousel below to read the key highlights of our findings. 📖 To see the full breakdown and learn how leaders can successfully bridge this gap, click the link in the comments below to download our report. #TechFriction #BusinessStrategy #FutureOfWork #AITransformation #Adaptavist