We've been talking about the 360-degree customer view for decades, and somehow it seems we're further away than ever. In Valoir's recent research, we found that only 58 percent of customer interaction data is accessible in a single system. That's not a rounding error; that's a structural problem that shows up everywhere. Service reps are bouncing across an average of nine applications just to do their jobs, while organizations are juggling 20 integrations in a losing effort to stitch it all together.
The result is slower service, higher costs, and a customer experience (CX) that feels fragmented, because it is. We see this play out most clearly in the contact center. What used to be a voice-centric, hardware-heavy environment has evolved into a sprawling mix of contact center-as-a-service (CCaaS), customer relationship management (CRM), and digital channels, and the 360 hasn't kept up. In fact, 81 percent of organizations say they have too many disconnected silos, and 87 percent of leaders now believe a true customer 360 is unattainable.
In our research, we found the average organization is spending less than $1,000 per user annually across CRM, CCaaS, infrastructure, and integrations, with 26 percent of that going just to integration technologies. But the real cost isn't in licenses, it's in labor. Admin teams are spending 41 percent of their time on data management and another 33 percent on integrations. Even worse, we're burning more than 400 hours per year just testing integrations after updates.
And for all that effort, we're still not getting there. Service leaders estimate it would take another $1.1 million, or $2,659 per rep, to achieve a true 360-degree view.
The costs are real, but they take on even more significance now because artificial intelligence has become a top priority. Every CX leader is facing pressure to show how they're leveraging AI to drive efficiency and improved CX, but every AI experiment is exposing just how broken our data foundations are. Without consistent, current, and connected data, AI can't deliver reliable outcomes. It hallucinates, it contradicts itself, or it simply fails. That's why 30 percent of leaders say data integration is the biggest barrier to AI success, ahead of cost, technology, and even trust.
Here's the kicker: We already know the upside. Leaders believe that a single, integrated view could drive a 24 percent increase in service rep productivity. Add that productivity boost to the potential exponential benefit of AI that actually works, and that's not just beneficial, it's transformational.
So where does this leave us? We don't need more apps, we don't need more integrations, and we definitely don't need more AI layered on top of bad data. Here's what CX and contact center leaders should be doing now:
- Stop funding fragmentation. If you're still adding point solutions and stitching them together, you're making the problem worse. The coolest point tool for short-term innovation just becomes another silo creator and integration burden. If your team is spending more than half of their time on data and integration, you don’t have an innovation problem, you have an architecture problem.
- Prioritize data integration and system health over AI pilots. We need more of the unsexy stuff, like data and architecture audits, harmonization and synchronization efforts, and more sharing of data models across channels, before AI will work properly. AI without integrated data will fail, period. The future isn't better integrations, it's fewer of them.
- Start thinking, not just talking, about omnichannel. Unless you truly understand how processes and data models are different across every channel and the underlying cost structures for each channel, you won't be able to prioritize AI or human agent resources to maximize ROI.
- Don't forget about the humans. A 24 percent potential productivity lift is on the table if you can eliminate friction in the agent experience. Look to your best agents to help you determine how to best do this and engage those who are willing to be part of the architecture vetting, workflow validating, and AI testing process with you.
The biggest barrier to AI and improved customer and agent experiences isn't technology, it's disconnected data. The leaders who fix that will scale AI successfully, make the most of their human agents, and drive engaging and profitable customer experiences.
Rebecca Wettemann is founder and CEO of Valoir.