Publication: Timestech
The current business landscape is saturated with talk of Artificial Intelligence (AI). Many organizations struggle with the practical reality of how to harness AI’s power without undergoing expensive and risky disruptions to the core systems that currently run our business, despite the constant claims that it will revolutionize everything. The very innovation AI promises is frequently stifled by the fear of “breaking things” or of making “false starts”.
Traditional digital transformation frequently offers a difficult decision: try piecemeal integrations that don’t scale or provide consistent value, or start with a comprehensive, multi-year overhaul of core systems. Even though big ideas are essential, it’s not always necessary to tear down the foundations in order to move forward. There’s a more pragmatic, effective way to weave AI and automation into the fabric of our daily operations – by viewing efficiency through the lens of Peripheral Automation.
What is Peripheral Automation?
Advaiya, a technology consulting company, developed the Peripheral Automation framework recognizing that enterprise systems aren’t monolithic.
They consist of layers: a stable core (housing essential data and application logic), surrounded by layers facilitating business processes and enabling much better user experiences & interactions.
Peripheral Automation focuses much of the innovation efforts on outer layers – the ‘periphery’, instead of modifying the stable, often complex core. Think of it as adding smart lighting and voice assistants to your home (the periphery) without needing to fundamentally rewire the main circuits (the core). However, with Peripheral Automation, once the core is outdated or drastically needs an upgrade, the organization can very easily replace that core without facing issues because now many of the functions are running through the processes and peripheries. This enables a uniquely composable and decomposable approach to enterprise architecture.
-By Manish Godha, Founder and CEO, Advaiya
