BIZTECH: What are some of the common pain points SMBs face related to customer experience?
SCHRIENER: Here’s the reality: SMBs want to deliver the same caliber of customer experience as the big players, but they’re fighting an uphill battle with fewer resources to do it. I see it all the time.
The most common challenge? Fragmented data. Customer information lives in disconnected systems — your CRM says one thing, your billing platform says another, and your support team is flying blind. Without a unified view of the customer, every interaction starts from scratch, and that creates friction your customers feel immediately.
Then there’s the infrastructure problem. Many SMBs are still running on legacy systems that weren’t built for modern customer expectations and, now more than ever, customers’ expectations are on the rise — meaning, SMBs need ways to keep up. Managing on-premises hardware and software eats up time and budget that should be going toward actually engaging with customers, not keeping the lights on.
And let’s be honest about the talent gap. SMBs rarely have deep technical teams to implement and manage sophisticated CX tools. When you’re working with compressed timelines and limited internal expertise, even well-intentioned upgrades can turn into sources of frustration rather than improvement.
The good news is that these are all solvable problems. The right technology strategy — one that meets you where you are — and partnering wisely can turn these pain points into competitive advantages.
EXPLORE: One small business improves customer service with a modern contact center.
BIZTECH: What kinds of technology solutions can address customer experience concerns?
SCHRIENER: This is where it gets exciting, because the technology landscape has shifted dramatically in favor of SMBs.
Purpose-built tools are the starting point. For example, Amazon Connect gives SMBs an artificial intelligence–powered contact center that brings enterprise-grade customer service capabilities — intelligent routing, AI chatbots, real-time analytics — without the enterprise-grade price tag or complexity. Amazon Bedrock lets SMBs build generative AI applications that understand customers’ needs. Quick Suite puts embedded analytics in your hands so you can make data-driven decisions fast.
But the tools are only part of the story. The cloud itself is an enabler. It lets you trade heavy capital expenses for variable, pay-as-you-go pricing. That’s transformative for an SMB. You’re not buying and maintaining complex hardware, you’re paying for what you use, when you use it.
On the data side, AWS can help an SMB build data lake house architectures that unify all of those siloed customer data sources I mentioned. Serverless options eliminate infrastructure management entirely. You can go from raw data to actionable customer insight without standing up a single server.
The key is that these aren’t all-or-nothing propositions. You can start with a few clear use cases — maybe an AI chatbot handling appointment scheduling or order status checks — and expand from there as you see what works and build your confidence. That flexibility is what makes this real for SMBs.
