A leading bank needed a faster, more scalable way to build and deploy AI agents across retail and corporate functions. Traditional development was slow, required heavy technical involvement, and made experimentation difficult for business teams. The bank wanted an AI platform that could support multiple use cases, unify structured and unstructured data, and accelerate time-to-market for new digital experiences.
Sphere IT deployed an Agentic AI Platform powered by multi-agent architecture, integrated with Model Context Protocols (MCPs) to enable seamless access to enterprise tools, search systems, data repositories, and APIs. The platform supports skills such as retrieval, analytics, data visualization, image and video generation, and action automation.
A key capability was the ability for business teams to configure and launch new agents themselves using domain-friendly context engineering. This shifted AI development from highly technical teams to business-aligned squads working directly with stakeholders.
The impact was transformative. The bank’s AI agent rollout became 10x faster, significantly reducing dependency on engineering cycles. Structured and unstructured data could be triangulated instantly, enabling richer insights and more contextual user interactions. New MCPs and tools could be easily integrated, expanding the platform’s capabilities with minimal rework.
Today, the bank uses the platform to rapidly ship new AI agents across customer service, operations, compliance, and RM support. What started as an experimental initiative has become a central engine powering the bank’s digital transformation efforts—giving teams a single, scalable foundation for innovation, automation, and intelligent decision-making.