As artificial intelligence (AI) reshapes industries, wayfinding is transitioning toward systems that think, adapt, and respond in real time. Few understand this shift better than Lauren Kelly, founder of Wayfindit, a cloud-based software redefining how wayfinding and signage projects are designed and managed.
With a background in design strategy and user experience, Kelly sits at the forefront of a new era: where static guidance systems give way to living networks that adapt to both people and place.
From Manual Maps to Living Systems
For years, creating “blue dot” navigation, digital, turn-by-turn guidance meant painstakingly mapping out every possible route by hand. “Until this point, we’ve had to route all of that out manually. This becomes a tedious and cost-impactful effort,” Kelly explains.
AI removes that burden. Machine learning can now generate paths instantly, adapting to construction, new facilities, or blocked corridors. It also enables personalized routing, whether finding wheelchair-accessible paths, avoiding stairs, or selecting a preferred type of route.
“These AI tools will be able to dynamically respond in real time, not only to issues or changes in the environment but also to people’s preferences,” she says.
Spaces That Anticipate People
Kelly imagines environments that don’t simply provide directions but actively respond to those within them.
“What if we could have devices or screens that adapt to people in the environment? So it might know you’re walking into a space and guide you straight to where you need to go,” she says.
In retail, that might mean easier movement through busy areas. In a hospital, it could streamline the journey to a patient’s room or the nearest café. AI-powered guidance can help environments shift with their occupants, creating more seamless experiences.
Moving Away From the Static Sign
Traditional wayfinding has long struggled with outdated information. Updating physical signs or digital displays is often a slow and manual process.
“AI can make this more efficient; it can change in real time, which has never been possible before,” Kelly says. By teaching AI systems contextual rules like adjusting routes for the time of day, scheduled events, or crowd density, navigation becomes continuously refreshed, always aligned with the moment.
Prediction as Navigation’s New Compass
Kelly compares the next phase of wayfinding to the small digital prompts we rely on daily, like when a phone automatically fills in a verification code. She calls them “micro interactions,” subtle signals that smooth the flow of activity.
“What if the tool looks at your evening plans and says, ‘You should park here so it’s easier to get to your dinner reservation after the game,’” she suggests.
These predictive capabilities transform large, complex spaces into places where guidance happens quietly and efficiently, aligning with each person’s specific context.
Data That Designs Back
AI’s capacity to process live data offers design teams continuous insight into how spaces are being used. Instead of relying only on periodic studies, connected systems can reveal patterns, highlight bottlenecks, and identify emerging needs.
“We can make this a living guidance web instead of snapshots we need to update at some point in the future,” Kelly explains. The feedback loop allows navigation strategies to evolve in real time, shaping environments that remain responsive to change.
Humans at the Heart of Intelligent Systems
Kelly emphasizes that human expertise remains central to this transformation. “We are in control of how we train these models. We’re at the infancy of wayfinding in AI, and it’s exciting,” she says.
Because wayfinding is a highly specialized discipline, AI depends on the creativity and judgment of practitioners who know its nuances. Data-driven tools will accelerate testing and refinement, while people continue to guide the vision, cultural meaning, and design language of navigation.
A Future of Invisible Guides
AI is opening a new chapter for wayfinding: routes that adapt in real time, environments that interact with individuals, and systems that act as invisible companions throughout daily journeys. As Kelly reflects: “It’s a fun, fun time for sure.”
The map is transforming into a responsive partner, an active layer of the built world. In this future, navigation is not an afterthought but an integrated experience that moves with us, quietly shaping smarter paths ahead.