Claritiv Technologies

A regional financial services firm came to us eighteen months into a data platform migration. The technology was sound. The implementation had gone largely to plan. The dashboards existed. The reports ran. But the leadership team still wasn't using the data to make decisions. When we asked why, the answer was... The risk team didn't trust the numbers because they didn't know how they were being calculated. The operations lead was still running her Monday morning numbers manually because the timing of the data refresh didn't match when she actually needed to make decisions. The CFO had quietly told his team to keep the old spreadsheet running alongside the new platform - just in case. Three different people. Three different reasons. All pointing to the same root cause. The platform had been built around what the data could do. Not around how decisions were actually made. We spent six weeks sitting with each team. Understanding the decisions they made, when they made them, and what they needed to trust the output enough to act on it. Then we reconfigured. Not the platform - the way it connected to how people worked. Three months later the CFO retired the spreadsheet. That was the moment we knew it had landed. Technology earns trust slowly. It loses it fast. And the only way to build it is to start with the people, not the platform. #ClaritivTechnologies #ChangeWhatMatters #DataAndAI #FinancialServices #DigitalTransformation

McKinsey published something this month that deserves more attention than it's getting. Nine out of ten companies have now deployed AI in at least one business function. That number has been climbing for three years and continues to rise. But 94% of those same organizations report not seeing significant value from their AI investments. Read those two numbers together. Near-universal deployment. Near-universal disappointment. McKinsey's diagnosis is precise. Most organizations are using AI to accelerate existing work - reducing manual effort, improving consistency, speeding up tasks that were already being done. The underlying workflow stays exactly as it was. The process stays exactly as it was. The way decisions get made stays exactly as it was. And then leaders wonder why the bottom line hasn't moved. The organizations that are seeing real value - McKinsey identifies a small group of high performers - are doing something fundamentally different. They're not deploying AI on top of existing work. They're redesigning the work itself around what AI now makes possible. That distinction sounds simple. In practice it requires something most technology programmes never make space for - an honest look at how work actually happens before anything new is deployed. What decisions are being made? By whom? With what information? At what point in the process? Those questions come before the technology. Not after. The gap between 88% deployment and 6% meaningful impact isn't a technology gap. It's a design gap. And it's closeable - if you start in the right place. Source: McKinsey - Where AI will create value and where it won't, May 2026 #ClaritivTechnologies #ChangeWhatMatters #DataAndAI #AIAdoption #DigitalTransformation #Leadership

The businesses pulling ahead are the ones asking better questions before they invest. Here are the three questions that - in our experience - most reliably separate the transformations that compound from the ones that stall. → Swipe through.

The businesses that will pull ahead in the next three years won't be the ones that adopted the most technology. They'll be the ones that were honest about what they were actually trying to change - before anything was deployed. Speed without direction is a more efficient way to end up somewhere you didn't intend to be. #ClaritivTechnologies #ChangeWhatMatters #Leadership

At some point, most leaders we speak to say a version of the same thing. "We've been through this before." A system implementation that promised to fix visibility and created three new problems. A transformation programme that consumed eighteen months and left the business largely unchanged. A technology investment that the team adopted on paper and worked around in practice. They're not wrong to be cautious. That experience is real. And it has made them - reasonably - harder to convince. But here's what we've noticed about the businesses that break the pattern. They succeed because they change something about how they approach the problem before anything is deployed. They get honest about what actually went wrong last time. Was it that nobody owned the outcome after go-live? Was it that the process the system was built around was already broken? Was it that the people most affected were the last to be involved? Most failed transformations are patterns. And patterns can be interrupted - if you're willing to name them before you start. We've found that the businesses ready to change are the ones willing to have that conversation first. Not as a blame exercise. As a design one. It's also where we like to start #ClaritivTechnologies #ChangeWhatMatters #DigitalTransformation #Leadership #BusinessTransformation

We've talked about execution gaps before. Here's what closing one actually looked like. A mid-sized manufacturer reached out about an ERP migration. Standard request. They'd tried twice before. Both attempts stalled. The first question we asked was: "Why did the previous attempts stop?" Turns out, the issue wasn't technical. The production scheduler had built workarounds in the old system that kept the line running smoothly. Finance had custom reports they'd created because the standard ones didn't show what they needed. Each previous migration focused on what the new system could do. None addressed what people currently relied on the old one for. We changed the approach. Spent the first month mapping actual workflows. Built the critical workarounds into the new system first. Then helped teams transition to better approaches at a pace that made sense. Six months later: 90%+ adoption. The difference? Starting with how work actually happens. Not how it should happen. Implementation is a milestone. Impact is the destination. #ClaritivTechnologies #ChangeWhatMatters #CIO #ITLeadership #DigitalTransformation

The first thing we do is ask questions, a lot of them. Not to demonstrate expertise. Not to fill a discovery template. Because the presenting problem is rarely the whole problem. Before we recommend anything, we want to understand a few things. What does good actually look like for this business, in twelve months? Where is the friction showing up - and who feels it most? The answer at leadership level and the answer on the ground are often different. What has already been tried? And what happened? What does the team believe is broken, and what do they think should change? Is this a technology problem, a process problem, or a people problem? Usually it's all three. But the proportions matter. That's where we start. Every time. What's a question you wish someone had asked earlier in a project you've been part of? #ClaritivTechnologies #ChangeWhatMatters #Leadership #Consulting #BusinessTransformation

Everyone is training their people on AI. Workshops. Certifications. Fluency programs. The investments are real and the intent is right. And yet, Deloitte's 2026 State of AI in the Enterprise report found that only 34% of organizations are genuinely reimagining their business through AI. (Source in comments) The majority are seeing productivity gains at the edges - while the core of how work gets done remains largely unchanged. Here is what that number is telling us. The barrier was never really about skills. It was about design. Teaching someone to use a tool fluently does not change the workflow that tool was supposed to improve. It does not change how decisions get made, how information moves, or how teams are structured around outcomes. Access and adoption are not the same thing. And most organizations are measuring the first while wondering why the second isn't following. The most important AI question right now is not “are our people trained?” It is: “has anyone looked at how work actually happens here - and redesigned it around what AI now makes possible?” Because without that clarity, AI gets layered on top of existing work - instead of reshaping it. Training gives people access. Intent - applied to how work is actually designed - gives them impact. And in most cases, that gap isn’t capability. It’s clarity. #ClaritivTechnologies #ChangeWhatMatters #AIAdoption #DataAndAI #DigitalTransformation #BusinessTransformation #FutureOfWork

Change that lasts, rarely comes from big moments. It comes from many small, deliberate decisions made consistently. About how teams work. How systems are used. How progress is measured. At Claritiv, we think a lot about intent. Not just what an organization wants to change - but why, for whom, and how that change shows up in daily work. When the intent is clear: * Technology becomes an enabler, not an end * Processes support people, not the other way around * Decisions feel grounded, not reactive This is how momentum builds quietly - and sustains itself. Not through constant reinvention. But through clarity, applied with discipline over time. This is the lens we bring to every engagement. #ClaritivTechnologies #ChangeWhatMatters #Intent #Leadership

Operational challenges rarely emerge overnight. They build gradually - through misalignment across systems, processes, and teams. Identifying these signals early enables your organization to address inefficiencies before they impact performance at scale. Which of these are you seeing in your organization today? #ClaritivTechnologies #ChangeWhatMatters #BusinessOperations #ProcessImprovement #ChangeManagement #OperationalExcellence #ERP #BusinessTransformation #SystemsThinking