Peripheral Automation defined
Peripheral Automation (PA) is an architectural approach wherein an enterprise information systems are composed as layers of core databases and application logic, process facilitation and automation, and experiences and interactions. Architecturally, these systems can be broken down into components across various layers and organizational units. They are then built to enable both horizontal and vertical integration.

“The premise here is simple. Business strategy is only relevant with execution. And tech is foundation for execution. At the same time, market is dynamic so nowadays aspects of strategy are always in a flux. So if strategy is dynamic, can tech be equally flexible. If yes, how? Enterprise architecture is a way to think about tech as strategic enabler. Peripheral automation is a practical way of making it work. And, how do you create a roadmap to a future state when the future refuses to be even slightly tractable.”
Peripheral Automation consortium
The word ‘disrupt’ has taken on a positive connotation in the technology lexicon. For technologists, disruption means challenging the status quo, overcoming outdated systems, and driving innovation for the better. In that spirit of disruption, industry experts and companies have joined forces with Advaiya to establish Peripheral Automation as the leading framework for AI enablement.
Why Peripheral Automation?
Viewing enterprise technologies as monolithic systems limits agility while using modern techniques at the edge of core systems to compose them in unique architectures allows innovation and differentiation. Peripheral automation provides a framework for how core systems of records can be brought together, how dynamic business processes can be facilitated, and how novel experiences can be engineered.

The Peripheral Automation (PA) approach recognizes that innovation needs and opportunities can vary significantly across different parts of an organization and its systems. PA views an enterprise’s infrastructure as a series of layered components: one that supports experiences and interactions with stakeholders, another that facilitates business processes and value chains, and a foundational layer that houses core databases and application logic. Most innovation, and therefore the need for agility, exists at the experience and interaction layer, with less demand at the process level, and even less at the core level where business systems of record reside.
Structuring systems in this way enables a tailored approach, allowing for managed flexibility within various functions or business units while maintaining unification at the core. The PA framework not only supports the adoption of new technologies in a way that is both rapid and relevant but also maximizes the value of existing technology investments, all while minimizing organizational disruption.
The Peripheral Automation way
Peripheral Automation aligns with composable architecture principles, enabling decomposability and recomposability of business systems to increase agility and drive innovation. Composability allows modular building blocks within the architecture, making it easy to assemble new capabilities and processes. This breakdown into manageable parts ensures flexibility while safeguarding the core, achieving adaptable, scalable architecture that can evolve as business needs change, supporting Gartner’s composability vision.

“Composable business means creating an organization made from interchangeable building blocks. The modular setup enables a business to rearrange and reorient as needed depending on external (or internal) factors like a shift in customer values or sudden change in supply chain or materials.”– Gartner
The key notion is that a suitable identification of the core (databases, application logic, or models) allows innovation and agility in layers around those. Thinking in terms of these layers leads to easier and more useful connection across core systems, business processes, and experiences. Thus leading to meaningful creation (or identification) of building bock components (at all layers), which compose an agile enterprise architecture.
PA makes AI work
Peripheral Automation supercharges AI by accelerating the deployment of automated systems and enabling faster innovation cycles. By treating data as a separate, flexible layer, PA ensures that AI has access to diverse data sources across multiple business processes, including financial and operational data. This allows for better AI training and inferences that can inform decision-making across different areas of the organization.
With PA, businesses can deploy AI solutions quickly. For example, financial data can feed AI-driven automation that plugs directly into lead qualification processes. This approach allows enterprises to experiment, iterate, and scale new ideas rapidly, resulting in more efficient operations and enhanced customer experiences.
Ultimately, PA creates the ideal environment for AI-driven automation to thrive, making it easier for businesses to innovate while continuously improving processes across the enterprise.
Consider a retail company looking to improve its customer experience. By implementing AI tools powered through Peripheral Automation, the company can leverage its financial and behavioral data to create personalized recommendations in real-time. The AI-driven systems can iterate and refine these recommendations based on continuous feedback from customer interactions, ensuring that the company remains agile while still operating from a stable core.
Stability meets agility
A key advantage of peripheral automation is its ability to preserve stability while enabling innovation. Businesses need not compromise their operational continuity when implementing new ideas. By keeping core systems intact and directing experimentation to the periphery, PA enables agility without risking system integrity. This approach offers a balance that many businesses today seek: maintaining a reliable foundation while also fostering rapid adaptation.
“Innovation doesn’t require dismantling the systems that hold a business together. With Peripheral Automation, we can push boundaries, experiment at the edge, and still ensure stability at the core. It’s the best of both worlds—adaptability and reliability..” – Manish Godha, CEO of Advaiya.
Imagine a retail company looking to enhance customer engagement through personalized offers. By using Peripheral Automation, the company can introduce AI-driven tools that analyze customer behavior in real-time, identifying purchasing patterns and preferences. The AI system then generates targeted offers, pushing them through mobile apps or online platforms—all without altering the core systems that manage inventory and sales transactions. In this way, the company can experiment with different marketing strategies and improve customer interactions at the periphery while ensuring that core operations like stock management and order fulfillment remain stable and unaffected. The business remains agile, testing and refining its approach while maintaining operational continuity.
Layers enable differential innovation
Peripheral automation allows for innovation by layers, recognizing that different parts of an organization require varying levels of agility. For example, while a company’s financial system may prioritize stability, its customer-facing applications may need rapid updates to stay competitive. Peripheral automation accommodates these needs by keeping the core stable and driving experimentation at the periphery.

This separation between core systems of record and systems of engagement is the hallmark of the PA approach. Core systems provide reliability and operational continuity, while peripheral systems create room for innovation—whether by incorporating AI-driven automation, integrating new data streams, or refining business processes.
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Peripheral Automation supercharges Al by accelerating the deployment of automated systems and enabling faster innovation cycles.
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Peripheral Automation supercharges Al by accelerating the deployment of automated systems and enabling faster innovation cycles.
FAQs
Peripheral Automation supercharges Al by accelerating the deployment of automated systems and enabling faster innovation cycles.
How can Peripheral Automation enhance our organization’s scalability without compromising existing systems?
Peripheral Automation (PA) provides a structured approach that allows organizations to scale their operations while maintaining the integrity of core systems. By treating core systems and peripheral innovations as separate layers, PA ensures that new processes can be implemented quickly and effectively without disrupting ongoing operations. This allows your organization to expand its capabilities such as entering new markets or adding production lines-while ensuring business continuity and stability.
In what ways can Peripheral Automation drive efficiency as we implement new processes or technologies?
PA enables organizations to integrate new technologies and processes swiftly, enhancing operational efficiency. By allowing for rapid experimentation at the periphery, your teams can test new solutions—like automated procurement or AI-driven analytics—without affecting core functions. This agility not only speeds up implementation but also allows for continual optimization, ensuring that as your organization evolves, your processes remain efficient and effective.
How does the Peripheral Automation framework align with our strategic goals and objectives at the C-suite level?
The PA framework is designed to align with strategic goals by promoting agility, innovation, and operational efficiency. For C-suite executives, this means having a system in place that can quickly adapt to market changes and consumer demands. PA supports these objectives by allowing your organization to leverage existing technology investments while fostering a culture of continuous improvement and innovation, thus enhancing your competitive edge in the marketplace.
What specific financial benefits can our organization expect from adopting Peripheral Automation?
By implementing Peripheral Automation, your organization can expect to realize cost savings through increased operational efficiency and reduced time-to-market for new initiatives. PA enables organizations to streamline processes, minimize waste, and optimize resource allocation. For example, as your organization scales and requires new systems or processes—such as those for a new plant—PA ensures that these innovations can be rolled out quickly, leading to better resource utilization and lower operational costs.
How can Peripheral Automation facilitate collaboration between different departments in our organization?
PA provides a common language and framework that encourages collaboration across departments. By unifying various architectural layers, PA allows teams to integrate their systems and processes seamlessly. This fosters communication and collaboration, enabling departments to work together more effectively, share insights, and leverage each other’s expertise to drive innovation and problem-solving across the organization.
How can peripheral automation improve data management?
By leveraging peripheral automation, businesses can automate the flow of data from the periphery into core systems, allowing for real-time data integration and analysis. This improves data-driven decision-making and ensures that core data remains accurate and reliable.
Is peripheral automation expensive to implement?
The cost of implementing peripheral automation varies depending on the scope and scale of the project. However, its modular nature allows businesses to implement it gradually, focusing on high-priority areas without the need for a full system overhaul. This makes it a cost-effective solution for incremental innovation.