As artificial intelligence, automation and digital transformation reshape the business landscape, enterprises are increasingly looking beyond technology adoption towards achieving measurable business outcomes. In this interview, Manish Godha, Founder & CEO, Advaiya Solutions Inc., discusses the evolving role of AI in enterprise operations, the challenges of integrating technology with existing systems and processes, and the need for a more connected approach to digital transformation. He also shares insights into Advaiya’s Peripheral Automation, CBEA 2.0 and Horizontal Work Organization frameworks, the changing technology services market, and the opportunities emerging from AI, data and intelligent automation.
AI is becoming a key part of business today. What challenges do companies face in using AI in daily operations, and how can Peripheral Automation framework help?
What I believe the biggest challenge is not gaining access to AI (there are lot of options available based on the user need) but the biggest challenge is connecting AI with the real context of the business like reliable data, established processes, decision rights, user roles, and accountability.
Many organizations begin with standalone pilots. The demonstration works, but the capability remains disconnected from daily operations. Employees must leave their normal workflow to use it, the AI does not have complete business context, or no one is clear about who owns the recommendation.
Peripheral Automation addresses this by building around the systems an organization already trusts. The core systems and data remain stable, while AI is introduced within business processes and user experiences where it can support a real decision or action. This reduces disruption and helps AI become part of work rather than another isolated tool.
Businesses are investing heavily in automation and digital transformation. How can CBEA 2.0 help turn these investments into measurable business outcomes?
Digital transformation often loses value when organizations move too quickly from an ambition to a technology backlog. The connection between the original business priority and the final implementation becomes difficult to trace.
CBEA 2.0 creates discipline between vision and execution. It begins by clarifying the solution vision, decomposing it into business-value components, assessing where existing systems can be extended, converting requirements into executable work, and tracking whether the expected outcomes are being realized.
The important change is that teams stop discussing only what they will build. They also define who will benefit, which business driver will improve, and how that improvement will be measured. This keeps technology, delivery, and business leadership aligned throughout the initiative, rather than evaluating value only after go-live
As the technology services market evolves, where do you see the most important unmet needs, and how will Advaiya shape its focus around them?
The largest unmet need is not another technology vendor. It is a partner that can connect technology choices with business context, implementation discipline, adoption, and measurable outcomes.
Organizations have invested in cloud platforms, data estates, business applications, collaboration environments, workflow tools, and AI. Yet information remains fragmented, processes continue outside the systems, and users often create manual workarounds. The market gap lies between acquiring technology and making it work consistently across the organization.
Advaiya will continue focusing on Data and AI, AI-enabled business applications, project and portfolio management, modern work, automation, and connected digital experiences. Our emphasis will be on situations where these capabilities must work together. The objective is not to maximize the number of technologies deployed. It is to improve growth, operating efficiency, organizational effectiveness, and the value enterprises obtain from investments they have already made.
Data is central to better business decisions. How can Peripheral Automation help organizations connect fragmented data, processes, and systems to support growth?
Fragmented data is rarely only a data problem. It becomes a process and decision problem when departments use different definitions, reports require manual reconciliation, and leaders cannot establish one dependable view of the business.
Peripheral Automation separates the stable core from the areas that require greater agility. Systems of record continue to protect core transactions and business entities. The process layer connects information across functions and applies business rules. The experience layer gives employees, customers, and leaders access to relevant information through the channels they already use.
This means organizations do not have to replace every system to create a connected view. They can establish governed information flows around their existing landscape, reduce duplication, and make consistent data available within the workflows where decisions are made. Growth is supported because the organization can respond faster without sacrificing control or continuity.
Technology is changing the workplace quickly. How can a Horizontal Work Organization help employees work effectively alongside AI and emerging technologies?
Traditional organizations often distribute work through fixed departmental boundaries. AI-enabled work is more fluid. A business problem may require domain knowledge, process understanding, data capability, technology expertise, and change leadership at the same time.
A Horizontal Work Organization brings these capabilities together around outcomes rather than allowing work to move slowly through functional handoffs. Employees contribute according to the value required, while shared methods, knowledge assets, and governance create consistency.
This matters for AI because technology cannot be separated from the process it changes or the people expected to use it. Cross-functional participation helps teams assess the business context, validate AI outputs, redesign work, manage exceptions, and build adoption from the beginning.
The objective is not to remove functional expertise. It is to make that expertise more accessible and composable so people and AI can work together around a clearly owned business outcome.
Which technology trends will have the greatest business impact, and how can CBEA 2.0 help organizations prioritize and execute against them?
AI agents, governed enterprise data platforms, intelligent automation, composable business applications, modern project and portfolio management, and context-aware employee and customer experiences will have significant impact.
However, following every technology trend is not a strategy. Organizations need to identify where capability solves a meaningful business constraint. CBEA 2.0 helps by starting with the solution vision and decomposing it into specific value components. Leaders can then determine which personas benefit, which processes change, which existing systems should be retained, what work must be executed, and how value will be tracked.
This prevents technology enthusiasm from creating an unmanageable portfolio of experiments. The aim is to create a smaller number of well-defined initiatives that can be implemented, measured, improved, and scaled according to proven business value.
From your experience leading Advaiya across industries, how Peripheral Automation and CBEA 2.0 helped address recurring transformation challenges?
Across industries, I repeatedly see three challenges: organizations cannot easily replace their core systems, business requirements are translated too quickly into disconnected features, and the expected value becomes difficult to track during execution.
Peripheral Automation helps organize the technology landscape. It preserves the systems and data that reliably run the business, strengthens processes around them, and introduces better user experiences without unnecessary disruption. CBEA 2.0 addresses the execution challenge. It translates the business vision into value components, identifies the most appropriate intervention points, creates a structured backlog, and maintains traceability through value realization.
Together, the frameworks help answer two different questions. Peripheral Automation asks, “Where should change occur without destabilizing the enterprise?” CBEA 2.0 asks, “How should that change be decomposed, executed, and measured?”
The technology services market is increasingly getting crowded. How is Advaiya building a differentiated position?
The technology services market is crowded because access to platforms, technical skills, and AI tools is becoming easier and easier. Differentiation now depends less on what technologies a company can implement and more on how thoughtfully it can connect technology with the client’s business context, operating realities, and expected outcomes.
At Advaiya, we have built our differentiation through our own intellectual property, frameworks, accelerators, and reusable knowledge assets. They give our teams a structured thought process and clear pathways for approaching complex technology and AI problems. Peripheral Automation helps us determine where change should occur across core systems, business processes, and user experiences without unnecessarily replacing what already works. CBEA 2.0 helps teams translate a business vision into value components, executable initiatives, AI-assisted backlogs, and measurable outcomes. Our Horizontal Work Organization brings together business, industry, process, data, technology, and adoption expertise around the problem rather than passing work between isolated functions.
These frameworks allow each engagement to benefit from what we have learned across technologies, industries, and previous implementations, while still being designed for the client’s specific context.
Which technologies will shape Advaiya’s future focus, and what market needs make these areas particularly important?
Businesses would increasingly be initiative-driven and not exactly siloed in functions and departments. What that means from a digital technology point of view is that more and more businesses would rely on consolidated data, information, and knowledge, which would propel various initiatives, whether they are related to innovation or efficiency, across the organization. AI would become a significant catalyst in those pursuits. With AI, it would be possible for organizations to dissolve internal boundaries and spearhead transformational initiatives in a rapid and reliable way, and that conviction drives our preparation for the future.
We are investing heavily in building capabilities around data infrastructure that enables organizational intelligence as well as artificial intelligence across the business. We are also expanding our capabilities in facilitating how organizations can collaborate, use knowledge and context effectively, and manage various work initiatives wherein the teams span across functions, geographies, or business units.
This forms our overall vision: knowledge-driven, effective initiatives being the primary locus in an organization, with Advaiya facilitating that with its technology and capability offerings. From a specific technologies standpoint, it translates into Data infrastructure, Data consolidation, AI scaffolding for organizational context and knowledge, Work and project management.
What gaps you see in the US technology services market, and how can Peripheral Automation framework help businesses adopt emerging technologies and AI without disrupting their existing systems ?
In the US market, many enterprises already have strong core platforms and significant technology investments. The gap is often not access to technology. It is the ability to modernize around complex legacy environments while maintaining business continuity, governance, security, and user adoption.
A disruptive replacement program may carry more risk than the business is willing to accept. At the same time, doing nothing prevents the organization from benefiting from AI, automation, and better digital experiences.
Peripheral Automation provides a practical middle path. It allows businesses to retain reliable systems of record, connect and automate processes around them, and introduce modern employee, customer, and partner experiences at the engagement layer. AI can then be embedded where it has sufficient data, context, governance, and a clearly defined role.
For US businesses, this approach can support faster innovation while respecting the operational reality that core systems cannot always be replaced simply because a new technology has emerged.