Multimodal AI: Business Use Cases for Models That See, Hear and Read

Early generative AI was mostly text in, text out. Today's leading models are multimodal: they can read a photo, a scanned document, a chart, a voice note or a video frame and reason about it alongside text. That opens up a new set of practical applications.

Insurance and claims

Customers upload photos of vehicle or property damage. AI describes the damage, checks it against the claim description, extracts details from repair estimates and flags inconsistencies for an adjuster.

Field service and maintenance

Technicians photograph a machine's nameplate or error screen and ask what to do. The assistant identifies the model, finds the right manual section and suggests steps.

Retail and e-commerce

• Generating product attributes and descriptions from product photos
• Visual search: "find me something like this"
• Checking listing images against quality guidelines

Documents that are more than text

Invoices with stamps and handwriting, engineering drawings, forms with checkboxes, charts in reports — multimodal models handle them far better than older OCR pipelines.

Healthcare support

Assisting with administrative tasks like reading referral letters and forms. Clinical image interpretation remains a regulated area requiring validated tools and clinician oversight.

Meetings and voice

Transcribing and summarising calls, extracting action items and answering questions about recordings, with appropriate consent.

Practical considerations

• Accuracy varies by image quality — guide users to take good photos
• Privacy — images often contain faces, number plates and personal documents
• Cost — images and audio consume more tokens than text; resize sensibly
• Evaluation — build test sets with real images from your use case

Where to start

Pick a workflow where people currently look at an image or document and type what they see. That is usually a strong multimodal candidate.

See our computer vision and generative AI services.