LUMIQ has unveiled LiteCone, an agentic AI workforce designed specifically for financial services institutions looking to move beyond AI experimentation and into production-scale operations.
Positioned as a structural departure from conventional AI copilots, LiteCone is built to automate complex, high-volume back-office workflows in regulated financial environments. The platform targets core operational areas such as underwriting, claims adjudication and servicing—functions where compliance, scale and auditability are non-negotiable.
As financial institutions grapple with converting AI pilots into measurable operational outcomes, LiteCone aims to address what many see as the industry’s central challenge: scaling AI responsibly within governance-heavy environments.
“Financial services institutions needed AI that scales. LiteCone does exactly that—audit-ready and built for FSI,” said Shoaib Mohammad, Founder and CEO of LUMIQ. “By automating underwriting, claims, and servicing workflows, we’re seeing tangible productivity gains across back-office operations.”
From copilots to “doers”: A Workforce of specialised AI agents
Unlike assistive overlays that support human users, LiteCone deploys specialised AI agents that act as primary operators within workflows. The system is modular, allowing institutions to begin with a single function and expand horizontally and vertically over time.
The platform introduces role-specific agents tailored to financial services use cases:
– LEO and ERIC for insurance and health underwriting
– ARIS for health claims adjudication
– AURA for intake and submissions
– ALEX for credit underwriting
These domain agents are supported by horizontal orchestrator agents that handle triage, routing, data verification, cross-validation, reasoning, audit logging, communications and third-party integrations. The objective is to ensure end-to-end automation rather than fragmented tool-based workflows.
The design is explicitly production-first. LiteCone emphasises explainability, traceability and audit readiness—core requirements for institutions operating under stringent regulatory oversight.
Built for regulated environments
LiteCone’s positioning reflects a broader shift within financial services from AI exploration to operational accountability. In high-volume environments where speed, accuracy and compliance intersect, the platform promises improved turnaround times, reduced costs and more consistent decision-making.
By embedding governance into workflow execution, LiteCone seeks to reduce the gap between AI ambition and production reality—an issue that continues to stall large-scale deployments across banks, insurers and other financial institutions.
Enterprise-focused go-to-market strategy
LUMIQ plans to drive adoption through an enterprise-focused go-to-market strategy, concentrating first on high-impact back-office workflows where automation outcomes can be measured quickly.
The company is leveraging CXO-led forums such as Fulcrum by LUMIQ and Flexi Roundtables, alongside account-based outreach to operations, technology and transformation leaders. The approach follows a land-and-expand model, beginning with a single workflow and gradually extending AI agents across business lines.
Given that underwriting, claims and onboarding sit at the centre of every financial services transaction, the addressable opportunity spans core operational functions across the industry.
Commenting on the broader ecosystem shift, Gaurav Sharma, Founder of Flexi Roundtables, said, “To grow in today’s enterprise market, leaders need both a telescopic and a microscopic view—seeing the long-term transformation arc while also understanding execution at the workflow level. What stands out with LiteCone is its clarity on production, not experimentation.”
As India’s financial services sector and global capability centres (GCCs) deepen their focus on AI-led transformation, platforms that promise production-grade deployment rather than pilot experimentation are likely to find increasing relevance. LiteCone represents LUMIQ’s attempt to anchor that shift in agentic AI designed for scale, governance and measurable impact.