Webinar
Document Process Workflow Automation for Insurance
Recorded webinar on document automation for insurers, with underwriting and PMO leaders from Bharti AXA, Bajaj Allianz, Future Generali, and MetLife.
Insurance runs on documents. Policy applications, medical reports, claims files, broker submissions — most of the work that decides whether a policy gets written or a claim gets paid arrives as unstructured paperwork. This webinar, recorded in March 2021, looks at what changes when insurers point document AI at that paperwork instead of adding more manual review capacity.
What the session covers
The panel works through the solution components that matter for insurers: how to extract usable data from complex, free-form documents; what a single unified platform changes compared to stitching OCR, RPA, and rules engines together; and where the business benefits actually land. The anchor is a case study on underwriting automation at a leading life insurer — how documents move from intake to a decision an underwriter can stand behind, and what that did to turnaround time.
The framing is deliberately practical. The panelists run underwriting, health PMO, and technology functions at large carriers, so the discussion stays on operating questions: which processes are worth automating first, where accuracy matters more than speed, and how to keep human judgment in the loop.
Speakers
- Dr. Abhijeet V Ghosh — SVP and Head, Health PMO, Bharti AXA
- Gurdeep Singh Batra — SVP & National Head, Retail Underwriting, Bajaj Allianz
- Gaurav Kumar — AVP & Head, PMO & Analytics, Future Generali India Insurance
- Vivek Bandhu — Director, Global Technology Services, MetLife
- Gokul Ganapathi — Co-Founder & CEO, Botminds
- Vikas Anand — VP, Sales & Marketing, Botminds
Why it still holds up
The session predates the current generation of the platform, but the problem is unchanged: underwriting and claims are document-to-decision processes, and the bottleneck is understanding documents, not moving them. Botminds now treats that as a governed, agentic workflow — every extracted number cited to its source page, every decision human-approved. The case this panel makes — target AI at the processing behind the customer experience, not just the front end — is the same case, made earlier.