These are the conversations shaping what comes next
from the people making it happen
from the people making it happen
Season 3 of Built Different explores what happens when intelligent hiring meets the real-world complexity of organizations and the people responsible for making it work.
This episode explores what becomes visible when intelligent hiring moves from promise into actual organizations—and why transformation should begin with one meaningful business problem rather than a broad AI promise.
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Readiness is not something organizations achieve before transformation begins. It is built while moving through a clear mission, meaningful next steps, and a deliberate learning cadence.
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A technology transition creates an opportunity to question the processes, customizations, and assumptions that should not be carried into the future.
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This episode challenges the belief that more applicants create better hiring and explores how organizations can design for useful evidence, stronger matches, and better conversations.
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Trust in intelligent hiring is created through visible reasoning, meaningful human control, responsible data use, and clear accountability at the moment decisions are made.
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Customer participation changes product decisions when it happens during discovery—not simply after a capability has already been designed and delivered.
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Transformation scales when the experience gained through delivery becomes shared judgment across partners, services, product teams, and customers.
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AI does not automatically make recruiting more strategic. Organizations must intentionally redesign recruiter roles, measures, skills, and expectations around the value they want people to create.
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The Season 3 finale asks what the product, services, ecosystem, and company remain responsible for learning, changing, and proving once intelligent hiring enters the market.
Coming SoonHiring isn’t operating in a stable system anymore. Fragmented tools, disconnected data, and a flood of AI are changing how decisions get made. This shift isn’t theoretical. It’s happening in real time, inside companies trying to figure out what actually works. The people leading that change are making calls every day , about technology, process, and what hiring needs to become. This series captures those conversations as they happen.
Season 2 begins inside the moment when AI, integration, and enterprise transformation have to be built in real time.
This episode challenges the assumptions recruiting still treats as fixed, from resumes and interviews to org charts and buyer checklists.
Candidates are already using AI to discover, compare, apply, and decide, forcing employers to rethink how they are found and trusted.
SmartRecruiters speed meets SAP scale, creating a new question about how innovation gains reach without losing momentum.
Behind integration are people learning new defaults, new rituals, and new ways of building as one team.
A future becomes buildable when people can see it, question it, and begin to work toward it.
AI adoption depends on whether people feel safe enough to learn, experiment, ask questions, and tell the truth.
AI value has to be proven with discipline, even when the cost model, usage patterns, and ROI language are still changing.
The Season 2 finale turns from internal conviction to customer readiness, market proof, and the bridge into what comes next.
The opening episode explores why the old best-of-breed model of disconnected HR systems is no longer enough for the next era of work.
This episode explores how enterprise software is moving beyond tabs, dashboards, and static screens toward experiences that happen in the flow of work.
This episode introduces the enterprise agent as a new operating model for how work gets done across systems.
Integration moves from invisible plumbing to one of the most important innovation layers in enterprise software.
This episode looks at a future where enterprise software stops being a destination and becomes infrastructure.
This episode focuses on the leadership required when a company chooses to move through disruption instead of protecting the past.
This episode goes inside the engineering work required to build enterprise AI at scale.
This episode explores the product and design work behind intelligent, adaptive, AI-supported experiences.
The Season 1 finale translates the shift, helping the market understand what changed and why it matters.
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