The three types of AI applications for BPO efficiency
The adoption of new tools and Artificial Intelligence (AI) within Business Process Outsourcing firms (BPOs) is not just a trend, but a necessity. AI is transforming the BPO industry, driving efficiency, streamlining operations, enhancing customer experiences, and paving the way for innovation.
While AI offers these benefits for BPOs, striking the right balance between technological advancements and human actions remains a critical challenge. This is because in order to remain efficient and deliver superior service quality, human touch and AI must coexist.
Let’s explore the three different types of AI applications and how they can help BPO firms make their team more efficient and optimize operations even further.
1. AI research and models: The brain behind the operation
At the pinnacle of AI’s application in the BPO industry is the development and utilization of advanced AI research and models, such as Generative Pre-trained Transformers (GPT) and other machine learning algorithms.
These cutting-edge technologies are designed to analyze vast amounts of data, identify patterns, and generate insights far beyond human capacity. For BPOs, leveraging such AI models can transform service delivery by enhancing decision-making, optimizing operations, and creating new value propositions for clients.
For BPOs: While AI research and models represent the top tier of AI innovation, their implementation requires significant expertise and resources. While they are powerful, their application in the BPO sector often requires a more direct approach to streamline operations and provide tangible efficiency gains.
BPOs interested in harnessing these technologies should consider partnerships with AI research entities or invest in specialized talent to develop custom solutions tailored to their specific operational needs.
2. AI-enabled applications: The autonomous workers
The second category encompasses AI-enabled applications designed to automate tasks traditionally performed by humans, potentially replacing workers in certain roles. This type of AI focuses on automating repetitive, rule-based tasks that require minimal decision-making, such as data entry, basic customer queries, and transaction processing. The goal is to increase efficiency and reduce costs by minimizing the need for human intervention in these processes.
Positioning for BPOs: While the prospect of reducing operational costs is attractive, BPOs must carefully consider the implications of deploying AI in ways that could replace human workers. Although they promise significant efficiency improvements, the replacement of human workers raises concerns about job displacement and lacks the personal touch that human employees contribute to customer service and complex problem-solving scenarios.
It is essential to strike a balance that leverages AI for cost efficiency, while also preserving and enhancing roles that require human empathy, understanding, and complex decision-making. Transitioning affected employees into more strategic roles or areas where human interaction is paramount can ensure that the adoption of AI contributes positively to the organization’s growth and employee satisfaction.
3. Contextual AI-enabled applications: The intelligent assistants
The third and most important for the BPO audience, are contextual AI-enabled applications that are retrofitted to work alongside employees, injecting AI into workflows at the right time to act as copilots rather than replacements.
This approach integrates AI tools into existing processes to support and enhance human work, such as real-time decision support, predictive analytics for customer interactions, and dynamic knowledge bases for complex problem-solving.
Positioning for BPOs: For BPOs, this AI application offers the best of both worlds, enhancing productivity without sacrificing the unique value of human workers. It allows BPOs to remain competitive by improving efficiency and service quality while also investing in their workforce's growth and job satisfaction. Adopting AI as a complement to human skills, rather than a replacement, fosters a culture of innovation and continuous improvement.
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Why Matterway stands out for BPOs
As the BPO industry continues to evolve, and you continue to drive efficiency and quality, finding the right balance between people and AI will be paramount. By understanding the distinct types of AI applications and their implications, BPO firms can strategically position themselves to leverage AI for operational excellence and sustainable growth.
Matterway, with its capability to customize and integrate seamlessly into existing workflows, represents the missing piece that brings AI capabilities into each employee's individual workflow for several reasons:
- Enhanced efficiency: By automating redundant tasks and guiding employees through complex processes, BPOs can achieve up to 80% more efficiency in their operations.
- Scalability and flexibility: The ability to build and deploy multiple Assistants tailored to various tasks allows BPOs to innovate continuously and adapt to changing client needs.
“We’re only able to bring the best value to our clients by growing and becoming better with new frameworks and technologies. Matterway is a key partner for us because it helps plug certain gaps that other technologies do not solve for. Now, we don’t have to worry about limitations, cost or IT blockers. We can deploy it ourselves and start using it right away.”
Anoop Nair
Global Deliver Lead BFSI
Cognizant
While AI research and autonomous applications play significant roles, AI-enabled applications that retrofit and enhance human workflows offer the most promising avenue for BPOs to drive efficiency even further.
Matterway leads this space by providing an intelligent, secure, and adaptable platform that not only meets today's efficiency demands, but also paves the way for a more innovative and human-centric future in outsourcing.
Want to learn more about how BPOs are leveraging Matterway’s intelligent assistant to drive efficiencies even further? Reach out to us.
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