Enterprise Solutions

Why Enterprise Transformation Fails? Ft. Anshuman Vedi, Founder At Techspire Consulting

By Vikramsinh Ghatge

Overall Rating

Overview

In this episode of TechDogs Discover Dialogues, host Vikramsinh Ghatge sits down with Anshuman Vedi, Founder at Techspire Consulting, to explore why enterprise transformation programs often struggle to deliver measurable business value despite large investments in technology, consulting, advisory, and modernization.

The conversation moves beyond buzzwords and focuses on the real reasons transformation fails: unclear benefits, weak sequencing, fragmented ownership, misaligned execution, overcomplicated delivery models, and unrealistic expectations around AI. Anshuman’s view is direct and practical. Technology is rarely the core problem. The bigger issue is how transformation programs are designed, managed, sequenced, and executed.
 

Why Enterprise Transformation Fails


Anshuman argues that many transformation programs begin with a vision and a business case that are created before the organization fully understands the technical and operational reality. Leaders define expected benefits, commit to measurable outcomes, and set transformation targets. However, when implementation begins, the real platform limitations, process gaps, data issues, and organizational constraints become visible.
 

Transformation Needs Sequencing, Not Chaos


For Anshuman, the answer is disciplined sequencing. Enterprises must break the transformation problem into smaller parts and ensure that business foundations are in place before adding technology and AI layers.
 

AI Is A Multiplier, Not A Magic Answer


One of the strongest ideas in the conversation is Anshuman’s view of AI. He does not see AI as a solution to every enterprise problem. He sees it as a multiplier. AI can help organizations analyze faster, generate reports, speed up planning, support decision-making, identify missed patterns, and improve workflows. Enterprise application vendors such as Oracle and SAP are already embedding AI into their platforms through agents, conversational reporting, planning capabilities, and workflow automation.
 

The Foundations AI Needs


Before AI can create meaningful enterprise value, Anshuman believes two foundations are critical. The first foundation is data and process. AI agents work with what already exists inside the system. If the underlying data is poor or the process is broken, the output will be unreliable. Enterprises must define clean data structures, strong process flows, clear controls, and governance before expecting AI to produce accurate outcomes.
 

Transformation Needs Sequencing, Not Chaos


For Anshuman, the answer is disciplined sequencing. Enterprises must break the transformation problem into smaller parts and ensure that business foundations are in place before adding technology and AI layers.
 

The Foundations AI Needs


Before AI can create meaningful enterprise value, Anshuman believes two foundations are critical. The first foundation is data and process. AI agents work with what already exists inside the system. If the underlying data is poor or the process is broken, the output will be unreliable. Enterprises must define clean data structures, strong process flows, clear controls, and governance before expecting AI to produce accurate outcomes.
 

The Consulting Gap Techspire Is Solving


Anshuman founded Techspire Consulting to solve what he sees as a structural gap in the enterprise transformation ecosystem. Clients are built to run the business, not necessarily to run large transformation programs. Advisors provide strategy and guidance. System integrators implement within defined scope. Technology providers sell and support platforms. However, the client often feels the pressure when these different parts do not connect smoothly.

Key Takeaways:
 
  • Enterprise transformation rarely fails because the technology does not work.

  • Transformation often fails because vision, benefits, execution, sequencing, and accountability are misaligned.

  • Business transformation and technical transformation must be sequenced carefully.

  • AI should be treated as a multiplier, not a magic solution.

  • Clean data, strong processes, governance, compliance, and controls must come before AI.

  • Human judgment remains essential to validate AI-generated outputs.

  • Consulting is changing as AI reduces proposal, documentation, and feedback timelines.

 

About Anshuman Vedi


Anshuman Vedi is the Founder of Techspire Consulting, a specialist consulting firm focused on simplifying complex enterprise transformation programs and delivering real business impact. With over two decades of experience across enterprise applications, ERP transformation, Oracle Cloud, consulting delivery, advisory, and program leadership, Anshuman has worked across leading organizations including Hitachi, Accenture, and EY.

Tue, Jul 7, 2026

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