Webinar
Has RPA Failed Your Document Process Automation?
Why bot-per-task RPA breaks down on document-centric work, and what an AI-first document automation platform does differently — with Genpact.
RPA earned its place by automating simple, routine work. Where it consistently breaks is the work that requires understanding and decisions — which is exactly what document-centric processes demand. Enterprises that answered this by installing hundreds of bots, one per activity, found the result more complex and more costly than planned. This webinar makes the case for the alternative: an AI-first platform for document process automation, where the system understands documents and augments the decisions made from them.
What the session covers
The session starts with the failure mode: why document-based process automation defeats bot-per-task RPA — free-form inputs, judgment calls, exceptions that outnumber the happy path. It then explains how AI fuels document understanding: models that read a document the way a trained operator does, extracting meaning rather than matching templates.
From there it goes broad and then concrete. Cross-industry use cases show the same document-to-decision pattern recurring in finance, insurance, and operations. A live demo of the Botminds platform extracts business insights from real documents. The session closes with the practical path — how deployment works inside an organization and what a partnership engagement looks like — grounded by a Genpact transformation leader who has run these programs at scale.
Speakers
- Poonam Masand — Director of Transformation Services, Genpact
- Gokul Ganapathi — Co-Founder & CEO, Botminds
- Vikas Anand — VP, Sales & Marketing, Botminds
Why it still holds up
The argument this session made has since become consensus: automation of document work requires understanding — speed alone just produces faster paper-shuffling. The AI-first approach it describes is what Botminds ships today as a governed agentic platform — documents understood by machine, decisions approved by humans, every extracted number cited to its source page. If your automation program has hit the ceiling this webinar describes, the diagnosis here is still accurate.