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In this episode of the Future Proof HR podcast, co-host and executive producer Jim Kanichariyil sits down with Andrew Kissinger, CFO and people leader at Clark Logic, to talk about how a 50-year-old organization is using AI to support people-centered growth. Andrew shares how Clark Logic has grown from roughly 70 people to about 230, while expanding across warehousing, logistics, real estate, and acquisitions.
The conversation centers on a practical tension many HR and business leaders will recognize: growth creates more people needs, more questions, more documentation, and more operational strain, but adding headcount to every bottleneck is not always realistic. Andrew explains how he thinks about AI through both a finance lens and an HR lens, especially when the goal is to scale without burning out a lean team.
Andrew walks through the use cases Clark Logic is already considering or putting into motion, including AI-enabled safety training, inventory tracking, dispatch support, recruiting tools, billing workflows, and employee access to answers. He also explains how the company evaluates vendor AI capabilities, why asking software partners the right questions matters, and how business cases can be built around turnover risk, overtime, hiring delays, and employee experience.
This episode offers a grounded look at what AI adoption can look like outside of major tech hubs. Instead of framing AI as a replacement strategy, Andrew describes it as a way to protect capacity, support growth, and help people do better work as the organization scales.
Topics Discussed:
If you are an HR, People Ops, finance, or operations leader trying to scale a lean team without burning people out, this episode offers a practical example of how to evaluate AI through people, cost, capacity, and growth at the same time.
Additional Resources:
By Thomas KunjappuIn this episode of the Future Proof HR podcast, co-host and executive producer Jim Kanichariyil sits down with Andrew Kissinger, CFO and people leader at Clark Logic, to talk about how a 50-year-old organization is using AI to support people-centered growth. Andrew shares how Clark Logic has grown from roughly 70 people to about 230, while expanding across warehousing, logistics, real estate, and acquisitions.
The conversation centers on a practical tension many HR and business leaders will recognize: growth creates more people needs, more questions, more documentation, and more operational strain, but adding headcount to every bottleneck is not always realistic. Andrew explains how he thinks about AI through both a finance lens and an HR lens, especially when the goal is to scale without burning out a lean team.
Andrew walks through the use cases Clark Logic is already considering or putting into motion, including AI-enabled safety training, inventory tracking, dispatch support, recruiting tools, billing workflows, and employee access to answers. He also explains how the company evaluates vendor AI capabilities, why asking software partners the right questions matters, and how business cases can be built around turnover risk, overtime, hiring delays, and employee experience.
This episode offers a grounded look at what AI adoption can look like outside of major tech hubs. Instead of framing AI as a replacement strategy, Andrew describes it as a way to protect capacity, support growth, and help people do better work as the organization scales.
Topics Discussed:
If you are an HR, People Ops, finance, or operations leader trying to scale a lean team without burning people out, this episode offers a practical example of how to evaluate AI through people, cost, capacity, and growth at the same time.
Additional Resources: