In a recent LinkedIn post, Shannon Smith, J.D., M.S. discusses a critical, yet often overlooked, challenge facing businesses that deploy robotic fleets: the inherent lack of intelligence and consistency in their operations.
Shannon Smith, J.D., M.S. argues that while the robots themselves might be standardized, the operational processes surrounding them frequently are not, leading to significant inefficiencies as fleets scale.
“Most robot fleets aren’t intelligent. They’re fragmented.”
The core issue, as Shannon Smith, J.D., M.S. explains, lies in the variability of how human operators manage issues. This fragmentation becomes manageable with a small number of robots but escalates into significant problems as the fleet grows.
The Growing Pains of Scaled Robotics
Shannon Smith, J.D., M.S. elaborates on the tangible consequences of these fragmented operations. These include inconsistent responses to incidents, missed handoffs between shifts or operators, extended downtime, and increased training overhead. A significant concern highlighted by Shannon Smith, J.D., M.S. is the growing dependence on a few highly experienced individuals.
“Now the operation only works well when the right person is watching,” Shannon Smith, J.D., M.S. states, underscoring the fragility of such systems. This reliance on specific individuals creates a bottleneck and a risk, as the entire operation’s success hinges on their presence and expertise.
Robotics Should Simplify, Not Complicate
A central theme in Shannon Smith, J.D., M.S.’s post is the fundamental purpose of robotics in business operations. According to Shannon Smith, J.D., M.S., robotics should serve to reduce complexity, not introduce a new form of ‘tribal knowledge’ that is difficult to transfer or scale.
“Because robotics should reduce complexity. It shouldn’t create a new layer of tribal knowledge.”
This reliance on tacit, hard-to-codify knowledge is presented as a barrier to true operational efficiency and scalability. Shannon Smith, J.D., M.S. suggests that effective fleet management requires a more structured and consistent approach.
Proscenia as a Solution
To address these challenges, Shannon Smith, J.D., M.S. introduces Proscenia, a platform designed to manage mixed-brand robot fleets from a single interface. The proposed benefit of such a centralized system is the establishment of clearer workflows, enabling faster intervention and more consistent responses.
“Clearer workflows. Faster intervention. More consistent responses. Less reliance on memory and guesswork.”
Shannon Smith, J.D., M.S. posits that this approach moves away from dependence on individual memory and guesswork, ensuring that operations remain consistent regardless of who is on duty. This is crucial for maintaining reliability and efficiency as the fleet expands.
When Operations Lag Behind Technology
The post concludes with a direct call to action for businesses experiencing a growth mismatch between their robotic fleets and their operational processes. Shannon Smith, J.D., M.S. invites discussion for those whose operating processes are struggling to keep pace with fleet expansion.
“If your fleet is growing faster than your operating process, let’s talk about it,” Shannon Smith, J.D., M.S. encourages, pointing towards a need for proactive solutions to maintain operational integrity in the face of technological advancement.
📝 About This Content
This article is based on insights shared by Shannon Smith, J.D., M.S. on LinkedIn.
📅 Originally posted on August 6, 2026 | View original post on LinkedIn →