In the race to adopt artificial intelligence, many companies overlook the fact that the path to success doesn’t begin with algorithms or automation. It starts in the garage.
Not literally, of course. But the metaphor sticks.
Paul Wnek, founder and CEO of Coalescence Cloud, often compares data cleanup to tackling your parents’ garage after 50 years of accumulated clutter. Inside are heirlooms, junk, things worth saving and a whole lot of dust. The longer you wait, the more paralyzing it becomes even to open the door. That’s what outdated, disconnected business systems feel like. And that’s where Coalescence steps in. It’s like a moving company for your data, ready to help sort what to keep, what to toss and how to organize it all for what comes next.
Data Readiness Is the Business Imperative
Artificial intelligence doesn’t thrive on chaos. It thrives on structure, integrity and visibility. Yet most enterprise systems are tangled messes beneath the surface, especially in high-growth SaaS, professional services and nonprofit sectors.
“We always start with the data,” Wnek says. “You can’t apply machine learning to chaos.”
Data readiness isn’t about flashy tools: it’s about asking hard questions. Why does this process exist? Who uses this field? What information is trustworthy? That’s the foundational approach Coalescence Cloud brings to every engagement.
And it matters. According to Gartner, 80% of failed AI initiatives can be traced back to data quality and integration problems. Accenture found that only 15% of companies believe their data is AI-ready.
The Garage Cleanout, Made Real
The “Mom’s Garage” analogy resonates because it makes a complicated process relatable. Everyone knows the feeling of dreading a project too big to tackle alone. Managed services from Coalescence make that first step manageable. They strip away the emotional attachment to outdated systems, bringing clarity to the mess.
Much like a trusted junk removal team, Coalescence helps clients figure out what matters, what slows them down and how to make room for the new.
From Disconnected Systems to Smart Architecture
Once the garage is cleared, it’s time to build something better. Coalescence Cloud specializes in unifying tools like Salesforce, Certinia, Intellistack, Flosum and CPQ systems. Their work enables real-time data flow from CRM to ERP, recurring revenue is king right now and accessible, usable data can support the customer journey, from opportunity to renewal.
Take the example of a drone software company. By phasing in Salesforce integrations across departments, they achieved 30–45% year-over-year revenue growth. That kind of improvement doesn’t happen through guesswork. It happens through intentional design.
Managed Services as the Engine of Growth
Implementation alone isn’t enough. Without continued support, even the most promising solutions become shelfware. Coalescence offers managed services that keep systems aligned, optimized and strategically evolving.
One recent partnership highlights this advantage. By leveraging a collaborator’s support program, Coalescence accelerated development timelines and saved $300,000 in projected costs. It’s not just about knowing what to build but about how to build it efficiently.
Real-Time Forecasting with Real Impact
With clean data and connected systems, Coalescence clients gain access to real-time analytics and forecasting. They gain the confidence to make decisions not just quickly, but wisely.
McKinsey reports that companies investing in data governance see AI results 40% faster. Wnek puts it plainly: “It’s not about plugging in AI and hoping for the best. It’s about setting the right foundation.”
Building the Future of Business Intelligence
Coalescence Cloud envisions a future where businesses don’t fear what’s behind the garage door. They open it, knowing help is already there. With expertise in data readiness and cloud, AI readiness and integration and reliable managed services, Coalescence is making that future a reality.
To learn more about how to get your organization AI-ready, explore Coalescence’s work in data analytics and systems strategy.
