Article
The platformization of the enterprise
How modular platforms, APIs and modernized applications can reduce structural complexity while accelerating digital products and AI adoption.
Use wearable technology where continuous context and personal sensing improve an experience that phones and fixed interfaces cannot
We connect wearable devices, sensor data and digital services to identify where connected experiences can improve personal or workforce outcomes.
Wearables extend digital interaction into contexts where traditional devices are inconvenient or unable to observe relevant signals continuously. They can capture physiological, environmental or behavioral data and deliver information at the point of activity. The value of this proximity is accompanied by constraints around battery life, comfort, privacy and integration with surrounding systems. Organizations therefore need to identify use cases where continuous sensing or hands-free interaction materially changes outcomes, then design the device, data and service ecosystem around that need rather than introducing another disconnected endpoint into the user experience.
Focus
Wearable technology matters when continuous context improves a specific experience
Its relevance depends on whether proximity, sensing or hands-free interaction materially changes how users work, decide or engage.
Read nowStrategic Challenges
Which experiences genuinely require a wearable device?
The challenge is separating valuable contextual interaction from use cases that add hardware without improving convenience, safety or performance.
Read nowStrategic Impacts
A context-led approach clarifies where wearables can support better interaction
Assessing user need, ergonomics, data and integration helps identify scenarios where connected devices may improve real-world tasks.
Read nowObserved Patterns
Wearable initiatives often underestimate the friction of asking users to wear technology
Battery life, comfort, privacy and habit can undermine adoption even when the underlying technical capability works as intended.
Read nowStrategic Challenges
Which experiences genuinely require a wearable device?
The challenge is separating valuable contextual interaction from use cases that add hardware without improving convenience, safety or performance.
Read nowStrategic Impacts
A context-led approach clarifies where wearables can support better interaction
Assessing user need, ergonomics, data and integration helps identify scenarios where connected devices may improve real-world tasks.
Read nowObserved Patterns
Wearable initiatives often underestimate the friction of asking users to wear technology
Battery life, comfort, privacy and habit can undermine adoption even when the underlying technical capability works as intended.
Read nowPOV
If users would rather not wear it, the technology has already lost
Wearable adoption depends on sustained practical value strong enough to justify the physical, behavioral and privacy burden it introduces.
Read nowOur approach
Design wearable experiences from the context of use backwards to sensors, device form and connected services
Our approach begins by identifying situations where continuous sensing, immediate feedback or hands-free interaction could materially improve user or workforce outcomes. We determine which signals, device capabilities and response times are required and test whether wearables outperform existing interfaces in those contexts. Hardware, connectivity, data and application architecture are then designed as one experience, including privacy, battery and device-management requirements. We validate comfort, reliability and behavior over sustained real-world use before scaling beyond pilots where novelty effects can obscure whether the device remains valuable over time.
The data and estimates presented are indicative and intended for illustrative purposes. Actual outcomes may vary based on each company’s specific context, market conditions, operating model, implementation choices, and the quality and consistency of execution, including actions undertaken by the client.
Keypillars
Explore the key pillars that define this capability and shape how we create focused, measurable business impact.
Contextual sensing
Uses wearable devices and connected sensors to capture relevant physical, behavioral, environmental, or operational signals in real time
Experience continuity
Connects wearable interactions with applications, platforms, devices, and services so information follows users across changing contexts
Human factors
Addresses ergonomics, privacy, battery constraints, safety, accessibility, and adoption factors that shape sustained wearable technology use
Where could connected wearables improve how people interact with your products, services or operations?
Get in touch with our Wearable and connected experience technologies team to evaluate use cases, experience design and adoption requirements.
Get in touchStrategic Framework
Explore our Strategic Framework
Explore our strategic framework applied to page_title and discover which model we apply to help you achieve your goals and objectives.
Discover our framework01. Map contexts
Identify user activities, environments, journeys, and operating situations where connected wearables add utility
06. Evolve ecosystem
Monitor device behavior, adoption, data quality, technical constraints, and changing user requirements
05. Test conditions
Evaluate reliability, usability, comfort, connectivity, battery, privacy, and performance in real-world settings
02. Define requirements
Establish sensing, interaction, connectivity, battery, privacy, comfort, durability, and data requirements
03. Design ecosystem
Structure devices, applications, connectivity, data flows, cloud services, identity, and supporting integrations
04. Build experience
Develop device interactions, applications, notifications, data services, and connected user workflows
How we help
Design connected wearable experiences around the moments where continuous sensing or hands-free interaction genuinely matters
We provide wearable and connected-experience strategies spanning devices, sensor data and supporting digital services. The work can include use-case assessment, device selection, experience design, data architecture, application integration, privacy, fleet management and pilot evaluation. Outputs clarify where wearable technology improves customer or workforce outcomes, which signals and interactions are necessary, how device and software components should work together and whether sustained real-world behavior supports scaling beyond pilots where initial engagement may reflect novelty rather than durable usefulness.
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Wearable technology strategy
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Enterprise wearable applications
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Connected workforce solutions
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Smartwatch application development
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Smart glasses applications
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Wearable safety monitoring
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Worker location systems
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Wearable sensor integration
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Connected health device integration
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Wearable authentication
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Contactless interaction solutions
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Connected customer experiences
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Wearable payments integration
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Wearable data platform integration
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Wearable device management
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Wearable security implementation
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Wearable experience testing
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Connected experience pilots
Explore our FAQs
Find answers to the most common questions about this service, including key features, processes, and practical considerations. Explore our FAQs for additional insights and guidance.
It should provide timely information, sensing or interaction that improves a task or experience without creating excessive user burden.
Assess comfort, reliability, privacy, battery life, connectivity, user acceptance and whether the device improves the underlying activity.
Wearables may collect behavioral, location or biometric signals that require clear access, retention and security controls.
Use defined APIs, identity, data ownership and synchronization rules so devices do not become isolated or inconsistent sources of information.
When charging, setup, discomfort, unreliable connectivity or weak workflow integration outweigh the value of continuous access or sensing.
Preserve continuity of identity, data and task state while adapting interactions to the strengths and limitations of each device.
Track adoption, reliability, task impact, user effort and whether device-generated data leads to meaningful decisions or actions.
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