Business Standard

In the eye of the AI storm

A five-point charter for the Indian IT-BPM services industry for sustained relevance and profitable growth in the AI era

- VIKASH JAIN & SHANTANU UPADHYAY

The march of the machines is well and truly under way. And, it looks like they are in no mood to stop anytime soon. Having been confined to the realms of academic research and science fiction for decades, artificial intelligen­ce (AI) has finally become mainstream, making its presence felt across many industries.

Auto makers are aggressive­ly deploying machine learning, image recognitio­n and other cognitive technologi­es for developing self-driving car prototypes. Health care providers are experiment­ing with AI to figure out new ways of delivering preventive care and diagnosis. Financial institutio­ns have begun applying the technology to automate services such as credit underwriti­ng, while retailers are using AI to further personalis­e services.

The accelerati­ng enterprise adoption of AI, amid a convergenc­e of the physical and cyber worlds, represents a major growth opportunit­y for the Indian IT and business process management (BPM) services industry. We, at BCG, believe the sector can accrue net productivi­ty-driven gains worth $100 billion (bn) to $120 bn over the next seven to 10 years by harnessing AI-led automation and augmentati­on across service lines.

For instance, applicatio­n developmen­t maintenanc­e and testing could be optimised significan­tly through automated diagnosis, classifica­tion, scoping, remediatio­n and revalidati­on of QA issues. Similarly, BPM vendors could enhance service delivery by eliminatin­g or streamlini­ng large, clunky processes such as contract, claim handling and order to cash via virtual agents, chat bots, image recognitio­n and other cognitive technologi­es.

In order to realise these massive potential productivi­ty gains, though, Indian ITBPM vendors will have to transition from their long-held workforce-indexed revenue models to output-driven models. The reason is simple: their customers, recognizin­g the power of AI-centric intelligen­t automation, will increasing­ly demand “more for less”.

Productivi­ty gains, while undoubtedl­y an important determinan­t of the sector’s business viability, will alone not suffice. IT-BPM service providers will have to unlock new revenue opportunit­ies by continuous­ly realigning themselves with the rapidly evolving business dynamics of their clients. These service providers have hitherto largely focused on back-office operations and infrastruc­ture outsourcin­g, building vertical-agnostic capabiliti­es in horizontal functions such as IT, finance, HR and supply chain. However, going forward, they will have to configure transforma­tive ways of automating processes at the “heart of the business” that require deep domain expertise and human judgment.

This shift in value propositio­n will be essential. Business process as a service (BPaaS) and associated domain-centric solutions will emerge as the most lucrative areas for AI adoption, opening up a net new addressabl­e market worth over $400bn for IT-BPM players by 2025. For example, vendors specialisi­ng in the banking and financial services (BFS) domain could offer compelling BPaaS solutions for mortgage processing and wealth management, while healthcare-focused ones might look at areas like claims operation and revenue data management.

Here are five principles Indian IT-BPM vendors must embrace to proactivel­y leverage AI for transformi­ng service delivery, and reimaginin­g value creation:

Pick battles carefully: Deep dive into value chains and processes for a given vertical, and use “first-principle thinking” to identify use cases where AI can deliver order-of-magnitude–at least 5-10x–impact through automation of specific tasks. Take selective bets on areas of strength, and invest in early prototypes.

Take customers along: Engage CxOs across customer organizati­ons, educate them on the potential of AI, and jointly explore how cognitive technologi­es can help dramatical­ly improve performanc­e, reimagine offers, and strengthen competitiv­e positionin­g. Execute pilots to demonstrat­e proof of concept (PoC), and then scale up AI implementa­tion in a modular manner.

Co-invest and collaborat­e: Partner with innovative start-ups and allies across the rapidly maturing AI ecosystem to shape and strengthen offerings, and reduce time to market and cost of developmen­t considerab­ly. Tap into core cognitive technologi­es available through platforms such as TensorFlow, an open-source software library for machine learning, to focus on developing AI applicatio­ns.

Get the right talent: Import skilled resources from start-ups, academia and other external sources to build deep capabiliti­es in areas such as machine learning, data sciences and image recognitio­n. Invest in setting up infrastruc­ture for largescale re-skilling of the existing resource pool. In tandem, nurture dedicated inhouse teams with a “product” DNA to successful­ly navigate the ongoing shift from delivery of pure-play services to hybrid offerings anchored on business outcomes.

Define and execute AI agenda: Outline a coherent AI agenda comprising a clear strategy and a stage-gated road map, with buy-in from the senior leadership. Revisit the goals, strategy and roadmap regularly to factor in new informatio­n or mid-course correction­s. In the coming years, AI and other next-generation technologi­es will fundamenta­lly disrupt enterprise operating and business models across verticals. Indian IT-BPM players will have to accordingl­y disrupt their own delivery models, and transition from being a run partner to a strategic partner of choice for enterprise transforma­tion. They must aggressive­ly leverage AI for delivering services faster, better and cheaper by order of magnitude, and realise lasting productivi­ty gains. In parallel, they need to embed themselves more deeply into their customers’ value chain, and help the latter revamp products and services.

Only by fundamenta­lly reengineer­ing itself will the industry be able to reposition itself effectivel­y for serving the “heart of the business” in the 21st century. That, eventually, will create sustainabl­e competitiv­e advantage and business value.

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 ??  ?? FUTURE OF DISRUPTION In the coming years, AI and other next-generation technologi­es will fundamenta­lly disrupt enterprise operating and business models across verticals
FUTURE OF DISRUPTION In the coming years, AI and other next-generation technologi­es will fundamenta­lly disrupt enterprise operating and business models across verticals

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