Some technology leaders get caught up chasing every new trend. Dan Gale has spent his career learning how to separate meaningful transformation from temporary noise.
As Head of Solution Consulting at CoreX, Dan helps organizations navigate one of the most complex shifts enterprise technology has faced in decades: operationalizing AI in a way that works inside the realities of business, governance, workflows, and data.
That perspective comes from experience few people can match. Dan has spent more than 24 years working across software development, infrastructure, operations, governance, enterprise strategy, and consulting.
Just as importantly, he has spent nearly equal time on both the corporate and consulting sides of the industry, something that continues to shape how he approaches customer challenges today.
“One of the things that has shaped my perspective is that I've spent roughly half of my career on the corporate side and half on the consulting side. Having worked as both a practitioner and an advisor allows me to view challenges from multiple angles.”
That dual perspective allows Dan to bridge the gap between executive strategy and operational execution, which is a skill that has become increasingly important as organizations move from AI experimentation into enterprise-scale adoption.
Before joining CoreX, Dan was one of the founding members of InSource in 2012, helping organizations modernize IT service management and operational governance during a major wave of digital transformation. Over the years, he has worked closely with organizations adopting and maturing their use of ServiceNow as the platform evolved from ITSM into a broader enterprise workflow and AI transformation platform.
Today at CoreX, Dan leads solution consulting efforts focused on helping organizations connect workflow, automation, governance, data strategy, and AI readiness into a scalable operational model.
And in Dan’s view, the AI conversation itself has evolved dramatically over the last year.
“A year ago, much of the discussion centered around large language models and generative AI. Today, we're talking about AI agents, orchestration, and how multiple platforms, processes, and data sources can work together to solve complex business challenges.”
That shift toward orchestration and interconnected AI ecosystems is where Dan believes the real transformation begins.
At the same time, he sees a growing disconnect between the excitement surrounding AI and the foundational work organizations still need to do behind the scenes.
“The most overhyped area is the belief that organizations can simply deploy AI agents and immediately achieve transformational results. There's often an assumption that AI alone is the solution.”
Instead, Dan consistently points organizations back to the fundamentals that determine whether AI initiatives succeed long-term.
“Organizations need trusted data, defined processes, governance models, security controls, and clear business outcomes before AI can deliver meaningful value.”
That operational mindset has become central to how Dan approaches solution consulting at CoreX. While many AI conversations remain focused on tools and capabilities, he believes organizations should spend more time evaluating whether they are operationally prepared to scale AI responsibly.
“Instead of asking, ‘What AI tool should we use?’ organizations should be asking, ‘Are we ready to operationalize AI at scale?’”
For Dan, that question opens the door to deeper conversations around governance, process maturity, organizational readiness, and long-term sustainability, the areas that often determine whether transformation efforts create lasting value or stall after initial excitement.
It’s also what encourages him most about the direction CoreX is heading.
“What excites me about CoreX is the combination of entrepreneurial energy, technical expertise, customer focus, and the opportunity to help shape the future of the business.”
As organizations continue adopting AI across the enterprise, Dan believes ServiceNow is becoming increasingly important as the connective layer tying workflows, governance, automation, and AI orchestration together.
"As organizations adopt more AI capabilities, they'll need a platform that can coordinate workflows, govern processes, connect data, and ensure responsible use of AI across the enterprise. I believe ServiceNow is uniquely positioned to play that role."
For Dan, the future of enterprise AI will not be defined by isolated tools or disconnected automations, but rather by how effectively organizations operationalize AI within the broader systems that already run their business.
Of course, in typical Dan Gale fashion, he states it more efficiently:
“Success doesn't come from AI alone. It comes from combining people, process, data, and AI in a way that drives meaningful business outcomes.”
