Delivering Measurable ROI in Banking Operations
An invitation-only CXO conversation on moving banking from AI pilots to autonomous, ROI-positive operations.
Request Invitation — Invite Only
Across underwriting, claims, KYC, collections, and customer service, AI is no longer a pilot conversation — it is becoming a question of how fast banks can scale autonomous workflows that move work end-to-end, with measurable cost and cycle-time impact.
This invitation-only CXO roundtable, hosted by GainSkills in partnership with LUMIQ.AI, brings together CEOs, COOs, CIOs, and Chief Risk Officers from India's leading banks for a candid conversation on what works, what does not, and what the next 18 months of agentic AI in banking will actually look like.
The evening is built around five strategic questions — and the practical, operating-model decisions behind each.
Five operating-model questions shaping how Indian banks will scale agentic AI.
From co-pilots to autonomous agents. What changes operationally when AI moves from suggesting actions to executing entire workflows — across credit, claims, KYC, and service — without a human in every loop.
Orchestrating an agentic workforce. Designing operating models where specialised agents collaborate across underwriting, fraud, collections, and middle-office — and humans focus on exceptions, not throughput.
Building the ROI case the CFO will sign. The metrics that actually move — cost-to-serve, straight-through-processing rates, cycle time, and revenue per FTE — and the proof points emerging from agentic AI deployments in Indian banking.
Operational risk as a use case, not a side effect. Using agents to strengthen fraud detection, transaction monitoring, control testing, and audit readiness — while reducing the cost of risk itself.
Governance built for autonomous systems. What model risk, RBI guidance, DPDP, and explainability really demand once agents are taking decisions — and how leading banks are building governance that scales with deployment, not against it.
The roundtable will move beyond benchmarks to the decisions behind them — operating model, sequencing, and the build-versus-partner choices that separate scaled programmes from stuck pilots.
Implementation note: LUMIQ to verify the five outcome ranges against credible banking deployment data before publishing. These ranges are indicative.
Share a few details — our team will respond with the invitation.
LUMIQ is a AI and Data partner to leading banks, helping financial institutions move from AI experimentation to autonomous, ROI-positive operations at scale.