REAL-WORLD EXPERIENCE. REAL INDUSTRY IMPACT.
Our Mission
We’ve worked in the environments where execution matters—where time, customer experience, and performance are on the line.
That’s why we started ConnectableIQ:
To make enterprise-grade strategy, technology, and data accessible to businesses that are ready to grow—but want solutions that are practical, flexible, and built for how they really operate.
Whether you’re in financial services, insurance, retail, e-commerce, collections, business process outsourcing or customer service operations, we understand your pain points—because we’ve solved them, both as operators and advisors.
We bring more than capability. We bring clarity, empathy, and a forward-thinking approach that makes transformation achievable—not overwhelming.
Let us show you how the right strategy, powered by practical AI, automation, and analytics, can help your business run better, serve smarter, and grow stronger.
We’ve Been on Your Side of the Table
At ConnectableIQ, we don’t just understand technology—we’ve lived your industry’s challenges from the inside.
Our founders, Kevin Smith and Mike Tratnik, bring deep, hands-on experience across financial services, fintech, retail, insurance, risk management, and operations. We’ve led digital transformations across global organizations, built analytics platforms that drive measurable results, and tackled the kinds of problems businesses face every day—siloed systems, manual processes, limited visibility, and tools that don’t connect.
Kevin has architected large-scale technology strategies across continents, centralized multi-national contact operations, and pioneered two-way messaging in banking—reshaping how institutions engage with their customers. His expertise spans operational design, AI-powered communications, and building data systems that drive bottom-line impact. He bridges the gap between innovation and execution with clarity and speed.
Mike has developed predictive models that sharpen customer engagement, modernized credit and insurance operations, and turned data into high-impact business decisions—from enterprise forecasting to SKU-level optimization. His background in analytics and strategic planning enables organizations to move from raw data to informed, confident action.