The first generation of AI agents worked almost exclusively with text. The latest generation is multimodal: they process text, images, PDF documents, audio, and even video. This opens up a completely new category of automation possibilities for B2B companies.
What is a Multimodal AI Agent?
A multimodal AI agent can process and combine multiple types of input. An invoice as a PDF? The agent reads it. A photo of a damaged product? The agent assesses the damage. A spoken customer question? The agent transcribes and answers.
B2B Use Cases for Multimodal Agents
- Invoice processing: read PDFs and scans, extract data and book
- Damage assessment: analyze photos of products or objects and report
- Document control: visually check contracts and quotes for deviations
- Inventory management via camera feeds: recognize products and count quantities
- Voice-driven workflows: convert spoken commands into automated actions
- Complaint processing via photo: customers send a photo, agent starts the return process
- Quality control in production: visual inspection of products via camera
Conclusion
Multimodality greatly expands the application area of AI agents. Processes that were previously too complex for automation — because they required visual input — are now fully automatable. This is the next wave of B2B AI automation.
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