In an exhaustive discussion with CXO News and APAC News Network, Mandar Vanarse, CTO & Board Member, QX Global Group explains the dynamics of the “expand into adjacencies” strategy and outlines the impact of AI on the digital transformation of enterprises.
As the CTO of QX Global Group, how do you envision leveraging emerging technologies like generative AI to drive innovation and enhance business process management for your clients?
Process simplicity, efficiency, and accuracy are the key expectations businesses have from BPM. By meeting these expectations, businesses not only realize bottom-line benefits but also gain a competitive edge and unlock top-line growth. Key technologies, both existing and emerging, play a significant role in achieving this:
- AI/ML, Intelligent Document Processing, and NLP: These technologies enable intelligent decision-making, predictive analytics, and efficient document handling, which not only improves cycle time and compliance but also accuracy.
- Generative AI: It augments human creativity by providing generative and creative assistance.
- Robotic Process Automation (RPA): RPA automates repetitive tasks, reduces human error, and allows individuals to take on more engaging and strategic work, improving overall efficiency.
- Integration Technologies: They ensure seamless workflows across various applications, improving end-to-end operations.
- Process Mining: By analyzing real-world data, it identifies opportunities for improvement, helping businesses refine processes and achieve better outcomes.
Could you elaborate on the initiatives planned under the QX Automation Acceleration Center (AAC)? How do you see this initiative impacting clients’ digital transformation journeys?
The QX Automation Acceleration Center (AAC) is designed to work closely with clients early in their digital transformation journeys. Our partnership spans the entire value chain—from identifying opportunities and developing a digital transformation strategy or roadmap to prioritizing initiatives, conducting cost-benefit analyses, and delivering measurable value. This approach ensures that clients realize significant, long-term outcomes through their digital transformation efforts.
Generative AI is revolutionizing various industries. In your view, what are the key challenges and opportunities in implementing generative AI to deliver smarter and more efficient solutions?
Challenges like bias, explainability, hallucinations, and data privacy are well-known in the industry, and solutions to address these issues are continually evolving. Over time, these guardrails will only strengthen.
On the opportunity side, implementing generative AI begins with analyzing business processes for low-hanging fruits. The next step is to question processes not yet AI-enabled by asking: “Why can’t this be AI-driven?” Generative AI works best when it augments human capabilities, functioning as a co-pilot to deliver smarter, more efficient outcomes.
Scaling technology-driven solutions is often a complex task. What strategies will you prioritize to ensure scalability and sustainability in QX’s digital initiatives across diverse industries?
Scaling technology-driven solutions becomes less of a challenge when you know your customer segments and identify patterns in their problem statement. Addressing these patterns effectively ensures solutions are naturally scalable across similar customers.
You need to be laser-focused on your core capabilities, including:
- horizontal processes (so that you achieve expertise in those areas),
- industry verticals (so that you have domain expertise and can bring thought leadership into your solutions), and
- technologies (to leverage for business benefits).
We have an “expand into adjacencies” strategy at QXwhere horizontal processes can be extended into similar industry verticals. For example, by developing expertise across process automation and document handling,and domain-specific insights for student accommodation, we can expand leveragethese strengths and scale smoothly into adjacent industry verticals like multi-family housing.
From a technology capacity and capability perspective, we continuously invest in refreshing expertise and remain open to partnerships with startups and innovative OEMs to add differentiated capabilities into our solutions, enabling us to scale exponentially. Additionally, building solutions with secure, scalable, pluggable, and low-footprint architectures also creates sustainable and long-term technology-driven solutions.
As a technology leader, what emerging trends in AI and digital transformation do you believe will have the most significant impact on the business process management sector in the next 3-5 years?
AI has already transformed industries like drug discovery, diagnosis, retail, legal, entertainment, and marketing. Over the next two years, no industry or functional area will remain untouched by AI.
In the business process management sector, AI is set to transform tasks such as advanced candidate assessments in recruitment through sentiment analysis, predictive role matching, and even AI-based voice calls for information collection, handling inquiries, and basic negotiation.
In accounting, AI will streamline dynamic cash flow forecasting, proactive tax planning, and multi-entity consolidations. Similarly, in finance, it will handle entitlement management, dynamic pricing models, and fraud detection by leveraging real-time data and behavioural analytics. This can save millions of human hours while offering time and language flexibility.
Most business process services companies will manage both core and non-core processes using a combination of human and digital/AI employees.
Looking ahead to the next five years, we will see a shift toward more autonomous organizations, where AI-driven processes will redefine traditional workflows and operations.
Bhavya Bagga, APAC News Network
