How AI and managed services are transforming BFSI operations
Financial institutions are under growing pressure to modernise operations while maintaining regulatory compliance, operational resilience and customer trust. As AI adoption accelerates across the banking and financial services sector, organisations are increasingly looking beyond traditional outsourcing towards managed services that combine automation, domain expertise and continuous optimisation.
Anuj Khurana, Co-founder & CEO, Anaptyss, said the managed services model has evolved significantly as banks focus on agility and long-term business outcomes rather than operational efficiency alone.
"Managed services today are no longer about operational efficiency alone. They are about enabling business agility and resilience."
According to Khurana, Anaptyss has transitioned to an AI-led, outcome-driven managed services model that combines deep BFSI expertise with intelligent automation and data-driven insights. The objective is not simply to manage business processes but to make them more adaptive, intelligent and future-ready.
Moving beyond traditional outsourcing
Khurana believes conventional outsourcing models primarily focused on reducing operational costs, whereas financial institutions now expect managed services to deliver measurable business outcomes.
He explained that Anaptyss' proprietary DKO framework integrates domain expertise, AI and managed services into a unified operating model that helps improve productivity, accelerate turnaround times, strengthen compliance and enhance decision-making.
"Traditional outsourcing optimises cost. DKO optimises outcomes."
He added that continuous optimisation remains the biggest differentiator, enabling financial institutions to build scalable operations that continue delivering long-term business value.
AI is changing risk, compliance and lending operations
Among financial institutions, Khurana sees the strongest demand emerging in risk management and compliance transformation. Increasing regulatory requirements, growing fraud risks and the need for faster, data-driven decisions are driving investments in these areas.
Lending operations are also receiving increased attention as organisations seek to improve customer experience while strengthening underwriting processes.
"The priority is shifting from manual execution to intelligent, AI-enabled operations that improve speed, accuracy and resilience."
Trust remains central to AI adoption
While AI is becoming integral to financial operations, Khurana stressed that innovation must be supported by strong governance.
He explained that Anaptyss embeds Generative AI and intelligent automation within a governance-first framework where security, explainability and regulatory compliance are built into every deployment.
"AI in financial services must be built on trust."
According to him, AI is being used to augment human expertise across lending, compliance and customer operations while maintaining robust data governance, auditability and responsible AI practices.
Building resilient operations for the future
Khurana believes successful transformation should be incremental rather than disruptive. By modernising high-impact business processes through AI-led managed services, financial institutions can improve efficiency, optimise costs and strengthen operational resilience without compromising business continuity.
Looking ahead, he said Anaptyss will continue investing in AI-led managed services, proprietary platforms and domain-specific AI capabilities. He expects the next phase of industry growth to be driven by Agentic AI, intelligent decision-making and hyperautomation.
"The institutions that successfully combine AI with deep domain expertise and strong governance will set the benchmark for the future of financial services."
For financial institutions, the evolution of managed services is no longer centred on cost reduction alone. As AI becomes embedded across core operations, long-term value will increasingly depend on combining intelligent automation with industry expertise, governance and continuous optimisation to build resilient, future-ready operating models.
Read More:
Nutanix explains how hybrid multi-cloud services will define channel growth
Why AI security is becoming the biggest growth opportunity for channel partners
Why managed detection and response will define the future of cybersecurity partners
2 Min read
