Welcome to Part 3 of our series: Getting Ready for AI.
In Part 1, we outlined the broader vision for retail spatial data. In Part 2, we broke down the psychological shift of moving from static artifacts to living assets.
Today, we are diving into the most complex and critical element of any technology evolution: your people.
When executives talk about AI readiness, they almost always default to software demos and tech budgets. But tools don’t execute strategy—people do.
If your team views AI as an added administrative burden or a threat to their job, even the most expensive technology stack will stall.
Getting ready for AI requires leaders to fundamentally redesign how work gets done, what gets prioritized, and how performance is valued.
The Sequence: People First, Technology Last
It is easy to get dazzled by AI tools that claim to generate store layouts in seconds. But buying software before preparing your culture is a guaranteed path to friction.
During our recent discussion, Jeremy Culshaw framed this sequence clearly:
“Getting into this race is the right instinct, but there’s a reason to start in the right place. AI is going to rewrite the way organizations work… my belief is people first, process, then the technology.”
Before spending a dollar on tech, leaders must engage their teams in the vision. Explain the road ahead with complete transparency. When employees understand why processes are evolving, they stop resisting the tool and start helping you shape it.
Reframing the Meaning of Daily Work
In retail design and store planning, CAD technicians and space planners are often trapped in a cycle of endless file cleanup. They treat their drawings as point-in-time deliverables—tasks to complete, archive, and forget.
To prepare your people for AI, you must change how they view their output.
They aren’t just pushing pixels or fixing CAD blocks. They are building the living, breathing digital twin of your physical fleet.
As Jeremy pointed out:
“Instead of all that work being point in time and then archived, you now say that work you’re doing right now is going to live on. We are going to keep it alive. It will change the mindset of that person to know that their input stays longer term.”
When employees see themselves as long-term stewards of high-value corporate assets rather than temporary task-completers, data hygiene becomes a point of pride rather than a chore.
Designing for Innovation: Rewarding Productive Failure
If you want your people to innovate with AI, you have to give them psychological safety.
In traditional retail planning, mistakes are expensive. But in an AI-driven environment, experimentation is essential. Leaders must create an R&D mindset where stopping a flawed workflow early is celebrated as a strategic win.
Reflecting on one of our recent tech experiments, Jeremy highlighted why iteration matters:
“Out of all of that experimentation, the number one most important thing was the ability to put your hand up and say, ‘Wait, this doesn’t feel right.’ That is where people make the right choices that avoid the wrong mistakes.”
When leadership makes experimentation safe—and even fun—employees raise their hands for the next pilot instead of hiding from change.
Elevating Planners to Strategic Architects
The end goal of AI in store planning isn’t to replace humans. It is to eliminate manual drag so your talent can focus on high-value spatial strategy.
When AI handles the mundane maintenance, your team is freed up to analyze customer movement, optimize store capacity, and adapt layout trends in real time.
They move from being operational “firefighters” to strategic architects of business growth.
How are you preparing your workforce to think and work differently in the AI era? Let us know in the comments below!
The above blog post was taken from a conversation between Stephen Hart (DedON Founder & CEO) Jeremy Culshaw – SignaNorth
j.j.culshaw@signanorth.com
SignaNorth helps mid-market companies turn AI investment into real, measurable business value by starting with people and process, not technology. Their view is simple: AI transformation touches every function in a business but lives in none of them, which is exactly why so many pilots stall. SignaNorth steps in as the one accountable partner who carries a company from strategy through delivery to outcomes a board can see in the numbers, then hands over the playbook because their engagements end when your company can stand on its own. Founded by Jeremy Culshaw, who brings more than two decades of enterprise information management and transformation experience across life sciences, healthcare, and other services, SignaNorth is prepared to discuss what it really takes to get your organization AI-ready.