Outcomes & Insights

Select work, perspectives, and observations across our projects.

Spicy Machine Learning Meets the Physical World
- AI
- Robotics
- Strategy
Why putting AI into hardware is not the same as putting AI into a chatbot — a field report on physical AI with Leaf Labs.
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Finding a Simpler Path to Delivery Automation
- Automation
- Deployment
- Logistics
- Workflow
A logistics client wanted to deploy robotic automation inside delivery vehicles to sort and retrieve packages throughout the workday. We helped them identify that the highest-value problem wasn’t moving packages autonomously, but helping drivers find them faster. That shift led to a lower-cost, lower-risk assistive system with a stronger ROI profile.
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Think in Systems, Build with Evidence
- Workflow
- Strategy
Most product failures don’t start in engineering. They start when organizations commit to solutions before understanding the problem.
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Avoiding the Wrong Automation Investment
- Automation
- Strategy
An industrial machinery manufacturing client approached Product Insight to design a robotic system that would automate a manual cleaning, inspection, bagging, and boxing process. While the automation was technically feasible, the economics did not support it. Product Insight helped the client avoid unnecessary capital investment by saying no to implementing the ask, and instead reframed the project around operational value and ROI.
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Making Legacy Consumables Work with Automation
- Automation
- Robotics
- Workflow
- Healthcare
Hologic, a medical diagnostics company, was developing a high-throughput automation system that relied on slide racks originally designed for manual handling, not robotics. Rather than replacing those consumables with a more complex automation-friendly system, we redesigned how the automation interacted with the existing workflow.
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Why We Validate Direction Before Engineering
- Validation
- Strategy
Software teams can afford to discover problems after launch. Hardware teams usually can’t — so we test direction before building hardware.
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Stop Betting on Assumptions
- Workflow
- Validation
Most automation initiatives fail for a simple reason: companies automate what they think the workflow is instead of how it actually behaves.
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Replacing One-Off ADAS Builds With a Reusable Platform
- Platform
- Development
- Strategy
An automotive client developing advanced driver-assistance systems (ADAS) recognized that repeatedly building custom test vehicles was inefficient and difficult to scale. We helped transform that process into a modular platform that reduced repeated engineering work and improved long-term ADAS testing.
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Turning a Robotics Vision Into a Deployable Roadmap
- Logistics
- Robotics
- Strategy
- Platform
- Workflow
A large organization wanted to explore deploying robotics into field-service vehicles as part of a long-term operational transformation. The vision carried potential, but also substantial technical and business uncertainty. We helped turn the idea into a staged roadmap where each step generated operational value while reducing risk for the next.
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De-Risking a High-Precision Product Request
- Validation
- Development
- Automation
- Workflow
Follett, a commercial ice equipment manufacturer, was pursuing a high-volume opportunity with a major coffee chain to automate ice dispensing. What appeared to be a straightforward product request carried hidden risk: the requested level of dispensing precision introduced more complexity than the workflow likely required. Product Insight helped Follett validate what level of performance actually mattered before committing to a production architecture.
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Designing a Medical Cart Around the Full Hospital Workflow
- Healthcare
- Development
A medical cart program for metabolic therapeutics company Fractyl Health began as an industrial design engagement. Once Product Insight examined how the cart would actually function throughout its cycle, it evolved into a broader product architecture effort. We helped transform the system into a more durable, serviceable, and scalable platform designed around the realities of hospital use.
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Pilots Aren’t Demos. They’re Discovery.
- Deployment
- Validation
A pilot should answer questions the organization couldn’t answer in a conference room — it’s where the real operational learning begins.
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