Editorial illustration for Wipro launches operating model that blends consulting, AI and business services
Wipro Merges Consulting, AI, and Business Services Fully
Wipro launches operating model that blends consulting, AI and business services
Wipro’s latest operating model arrives at a moment when dozens of global enterprises are wrestling with legacy systems that simply don’t keep pace with today’s speed of change. The firm has stitched together its consulting practice, AI capabilities and business‑services units into a single offering, hoping to close the gap between strategy and execution. While the idea sounds tidy on paper, the reality on the ground is messier.
Companies report that the buzz around artificial intelligence often outstrips tangible outcomes, and that moving from advisory to implementation can feel like a relay race with missing batons. In response, Wipro is betting that a unified structure will streamline decision‑making, reduce hand‑offs and finally turn lofty tech promises into measurable results. As the new framework rolls out, the pressure to prove its worth is palpable.
“Enterprises today are struggling to modernise operations amid outdated models and stalled transformation efforts, with AI hype that isn’t translating into results and consulting‑to‑execution journeys that remain fragmented and slow,” said Amit Kumar, managing partner and global head of consulting.
"Enterprises today are struggling to modernise operations amid outdated models and stalled transformation efforts, with AI hype that isn't translating into results and consulting-to-execution journeys that remain fragmented and slow," said Amit Kumar, managing partner and global head of consulting, Wipro Limited, in a statement. "By bringing our functional consulting expertise together with business process services, we are providing clients with a persona-based, end-to-end enterprise transformation strategy anchored in a functional context. This holistic strategy-to-execution journey allows clients to realise measurable value faster and generate real impact from AI initiatives." Under the new approach, Wipro has now positioned consulting as the upstream transformation engine.
The company's consulting teams will work with CXOs to define AI strategy, future-state operating models and outcome-based transformation goals. As engagements move into the solutioning phase, Wipro Consulting teams will design human-centric, AI-powered operating models, alongside process re-engineering and scenario modelling, to ensure solutions are built for execution rather than remaining at the design stage. Delivery will then be driven by Wipro's Business Process Services (BPS) teams, which will deploy AI-enabled automation, predictive insights and continuous optimisation across business operations.
The model is supported by the Wipro Intelligence suite of AI-powered solutions and platforms, which the company said will be applied across the entire engagement lifecycle--from solutioning to delivery--to ensure AI adoption is systematic and aligned with business outcomes rather than limited to isolated pilots. Jasjit Singh Kang, managing partner and global head of business process services, Wipro Limited, said that AI-embedded operations, underpinned by deeply contextual solutions, are the future of the intelligence-driven enterprise.
Wipro's new operating model ties consulting, AI and business services into a single framework. The move signals an effort to address what the company calls fragmented, slow transformation journeys. By grouping People & Change, Supply Chain & Operations, Finance Transformation and Sales, Marketing & CX under one umbrella, Wipro promises end‑to‑end accountability.
Yet the statement acknowledges that many enterprises still wrestle with outdated models and AI hype that has not yet produced tangible outcomes. Whether this integrated, consulting‑led, AI‑powered approach will overcome those challenges is still unclear. The company positions the model as a response to stalled transformation efforts, but concrete metrics are absent.
Critics might ask if merging advisory and execution can truly accelerate results or simply add another layer of complexity. The announcement offers no timeline for rollout or evidence of early successes. Results are pending.
In short, Wipro has outlined an ambitious structure; its effectiveness will have to be demonstrated through actual enterprise outcomes.
Further Reading
- Wipro Launches New AI-Powered Operating Model for Enterprise Functions - ScanX Trade
- Wipro Launches a New Operating Model for Enterprise Functions Combining Advisory, AI and Enterprise Transformation Services - Wipro
- Wipro unveils unified AI-led enterprise functions model - CFOtech Asia
- Wipro launches consulting-led, AI-powered operating model for enterprise functions - Capital Market
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Common Questions Answered
How is Wipro integrating consulting, AI, and business services in its new operating model?
[wipro.com](https://www.wipro.com) has created a unified framework that combines consulting expertise with business process services and AI capabilities. The model aims to provide end-to-end accountability by grouping key functional areas like People & Change, Supply Chain & Operations, Finance Transformation, and Sales, Marketing & CX under a single umbrella.
What challenges is Wipro addressing with its new enterprise AI-ready platform?
According to [nationaltechnology.co.uk](https://nationaltechnology.co.uk/IBM_And_Wipro_Expand_Partnership_To_Launch_New_AI_Service.php), Wipro is tackling enterprise challenges by expanding its partnership with IBM to launch an AI service using IBM's watsonx platform. The platform includes tools, large language models, streamlined processes, and robust governance to accelerate AI adoption and help enterprises build more integrated, reliable AI solutions.
What are the key objectives of Wipro's Generative AI approach?
[wipro.com](https://www.wipro.com/ai/harnessing-the-power-of-generative-ai/) outlines three core principles for their Generative AI strategy: co-innovating with partners to build solutions that help clients win, enabling employees to upskill and transform productivity, and ensuring the development of explainable, ethical, and responsible AI. The approach focuses on moving from passive AI consumption to becoming proactive AI value creators.