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Generative AI heralds a new era for Business Process Operations

This article explore how can a responsible governance framework and trust be built using the right tools and guardrails, and how can GenAI design principles serve as the foundation for a responsible AI framework supported by data engineering, domain-led industrialized solutions, data strategy guardrails, and a full-stack, end-to-end offering?

Generative AI heralds a new era for Business Process Operations

We are standing at the precipice of a dystopian future where generative AI (GenAI) holds the reins, dictating our every move and shaping our reality," a prominent AI philosopher predicts. While the concerns raised by many such experts are indeed sobering, it is essential that we focus on how this powerful technology can be used at the service of humanity by putting necessary guardrails at place.

The world is facing a shortage of skilled workforce, resulting in a 40% decline in productivity growth since 2002. The last 10 years alone have seen a 3% drop in working age population. AI, especially generative AI (GenAI), can play a significant role in solving this problem. It powers:

  • Extreme automation by automating the un-automatable.
  • Deep decisioning by enabling intellect-based insights.
  • Consumer-grade experience through hyper-personalized interactions.

With the advent of AI, one-third of the workforce will need to be reskilled to keep them relevant for the job market. While GenAI offers extreme possibilities, augmenting that with non-GenAI skills for forecasting, planning, decision intelligence, autonomous capabilities, among others, opens up avenues to innovate new services and even pioneer novel business models.

GenAI gains momentum in business operations

As businesses witness a massive data surge, they need advanced technologies to effectively manage, analyze and extract valuable insights. This has created a symbiotic, multifaceted relationship between GenAI and the business process operations (BPO) industry, shedding light on substantial opportunities within reach when organizations reassess their processes and functions. Technologies like conversational AI, intelligent document processing, text AI, autonomous content generation, language translation and cognitive analytics have reimagined business processes, merging human creativity with GenAI's analytical capabilities, to fuel innovation and transform operations.

However, transitioning into an AI-powered organization requires discipline and a focus on upholding systems and algorithms. Organizations, therefore, should assess their opportunities through an overarching value strategy framework covering the following levers:

  • Rethinking to accelerate change
  • Transforming to enhance value
  • Revolutionizing the ecosystem

Rethinking to accelerate change

Traditional approaches in the digital process industry have often resulted in slow response times, higher operational costs and missed opportunities for growth and improvement. The advent of GenAI solutions and models has given the industry a productivity jolt and contributed to a significant revamp in executives' mindsets. The rethink strategy to accelerate change brings results in expected areas such as customer service, marketing content and software development as well as in unexpected areas like engineering and R&D services. GenAI has the potential to deliver 40% to 50% efficiency gains across high propensity functions. For example, a GenAI-powered clinical advisor for a healthcare company comprising 10k clinicians to improve patient care was seeking the best outcomes for every individual. It provides recommendations for therapy practices, clinical procedures, patient management and clinical auditing. In another such engagement, a leading pharmaceutical provider implemented GenAI-powered, Co-Pilot for clinical trial analytics. It would enhance the efficacy and speed of approval across various clinical trial milestones by 40%, reducing overall time to market. Increasing adoption of such GenAI use cases points to a transformation of the BPO landscape from Digital Process Operations to AI-driven digital process outsourcing powered by full-stack AI and GenAI solutions and models.

Transforming to enhance value

A reshaped mindset necessitates transforming existing processes and functions to support organizations to drive enhanced functional outcomes and personalized experiences. Though rethinking and implementing newer GenAI solutions to transform businesses can present considerable challenges for any organization—including process reengineering—the benefits must be considered.

For instance, in a contact center ecosystem, these improvements can benefit all stakeholders—customers, employees and the organization. We helped a leading European bank to implement an omnichannel and agent-assist GenAI solution for its contact center. This significantly reduced the average handling time in customer service by almost half, positively impacting the service cost and achieving a 25% increase in accuracy in first-call resolution.

In another engagement for a leading educational publisher, we delivered a hyper-personalized CX center for omni-channel online proctoring services. Contact center agents now have access to GenAI-powered assistants and conversational AI that is helping them to generate 360-degree customer views, self-serve enablement and provide personalized answers and recommendations at a rapid pace. The solution has reduced average answer speed from minutes to a few seconds, enhancing customer satisfaction levels.

Organizations implementing a transformation strategy should bear in mind the following building blocks that can be revitalized:

  • The future workforce: As GenAI becomes essential to business operations, individual roles and duties will change. For instance, software developers will focus more on generating new use cases and business models using GenAI transformers. Existing employees would be upskilled with a focus on advanced AI modules and certifications, and businesses would be integrated with end-to-end orchestration platforms to promote seamless operations.
  • Enablers in transformation: The GenAI-enabled catalysts would range from frameworks to CoE playbooks, solutions catalogs and AI labs for innovation. A point to ponder from experience is that organizational enablement can be achieved with full-stack solutions covering functions holistically, such as customer support, business operations for insights, document processing, compliance, audit and point solutions for industry verticals.

Revolutionizing the ecosystem

GenAI plays a crucial role in not just enhancing productivity, it also empowers businesses to reimagine customer engagements, innovate new services and even pioneer novel business models. Enterprises are actively pursuing revenue expansion through GenAI, employing an ecosystem-based strategy that directly influences a customer’s key performance indicators (KPIs). This entails aligning enterprise KPIs with a comprehensive impact assessment across employee and customer experiences, enhancements in self-service capabilities and accuracy, and cost reductions.

Experience indicates three pathways to create this ecosystem:

  • By building GenAI powered IP solutions
  • Through a framework-based approach
  • By leveraging a solution provider

Our GenAI engine has reduced the new product development time by providing curated new product plans, BoM and supplier recommendations with historical performance and by testing scenarios and product-market fit simulations before its launch, thus enhancing product success rates and minimizing the risk of failure.

For instance, a research and consulting organization has created a Gen-AI-based knowledge ecosystem and has built a platform to monetize the knowledge. In another example, a BPO organization could automate risk, compliance and quality audits using GenAI-powered  solutions.

Toward a transformed future: Charting the course with GenAI

Businesses across industries are swiftly capitalizing on GenAI’s potential to achieve significant advancements. It needs no mention that some sectors will benefit more than others by implementing GenAI.

The impact of GenAI will vary based on factors like the composition and significance of various business operations as well as the revenue scale within an industry. Most industries can anticipate notable improvements, particularly in marketing and sales functions, with high-tech and banking sectors poised to experience even more incredible advancements.

Ultimately, GenAI has the potential to reshape the dynamics between humans and technology, akin to the transformative effects witnessed with previous innovations like the cloud, smartphone and internet. One of the many recent research reports predicts the market for GenAI could reach $200 billion by 2032, constituting approximately 20% of the total AI expenditure, a significant increase from the current 5%. In other words, the market is expected to double every two years over the next decade. Beyond the numerical projections, we anticipate that the economic influence could extend even further. There is also a higher momentum among the workforce for learning and using GenAI tools, which necessitates companies to cultivate more robust talent management programs to provide fulfilling work experiences.

Putting guardrails in place

It is prudent to consider legal and reputational risks as well as factually incorrect statements or any kind of biases that GenAI tools have been found to produce. It would be critical to build fairness, interpretability, privacy and safety into these systems. In order to accomplish it, a human-centered design approach to simulate the way actual users experience the system is essential to assess the true impact of its predictions, recommendations and decisions.

Additionally, a comprehensive set of contextualized KPIs, including false positive and false negative rates, to assess training and monitoring is important. Testing—unit testing, integration testing, iterative user testing and testing the statistics of the inputs to the AI system using an evolving gold standard data set—needs to be comprehensive and rigorous.

All these come together in a responsible governance framework and trust that needs to be built up using right tools and guardrails. GenAI design principles should lay the foundation stone for a responsible AI framework backed by data engineering, domain-led industrialized solutions, guardrails for data strategy and a full-stack, end-to-end offering.

Finally, the loop isn’t complete without the human element in it. By balancing innovation with prudence, we can steer toward a future where GenAI enhances rather than undermines human endeavors.

How we lay the groundwork today shapes what comes next. To support this; we are now ready with a robust set of GenAI-powered solutions called HCLTech AI Force, which is a innovative GenAI platform that accelerates time-to-value in business operations by transforming the underlying software development and engineering lifecycle, delivering greater productivity, improved quality and growth at scale”.

With the profound impact of GenAI extending far beyond shaping daily lives, organizations must recognize the significance of riding the tide and not just adapting to the paradigm shift.


Disclaimer

The views, thoughts, and opinions expressed in this blog are solely those of the author. Any content provided on this blog is for informational purposes only.

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