Email as the Interface to Generative AI Models: Seamless Administrative Automation
Andres Navarro, Carlos de Quinto, Jos\'e Alberto Hern\'andez

TL;DR
This paper presents an email-based framework integrating LLMs and OCR to automate administrative tasks, significantly reducing processing time and costs while enhancing accessibility for non-technical staff.
Contribution
It introduces a novel email interface system that leverages LLMs and OCR for seamless administrative automation, improving usability and efficiency in enterprise environments.
Findings
Automated form filling in under 8 seconds.
Reduced staff time by a factor of 3-4 with human supervision.
Lowered cost per form by 64% compared to manual processing.
Abstract
This paper introduces a novel architectural framework that integrates Large Language Models (LLMs) with email interfaces to automate administrative tasks, specifically targeting accessibility barriers in enterprise environments. The system connects email communication channels with Optical Character Recognition (OCR) and intelligent automation, enabling non-technical administrative staff to delegate complex form-filling and document processing tasks using familiar email interfaces. By treating the email body as a natural language prompt and attachments as contextual information, the workflow bridges the gap between advanced AI capabilities and practical usability. Empirical evaluation shows that the system can complete complex administrative forms in under 8 seconds of automated processing, with human supervision reducing total staff time by a factor of three to four compared to manual…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPersonal Information Management and User Behavior · AI in Service Interactions · Robotic Process Automation Applications
