In this episode of Hot Takes by H&H Color Lab, host Sal Cincotta talks with volume photography leaders about how to use AI in a volume photography business. The panel shares practical examples, from sorting customer emails and developing content ideas to supporting image extraction and editing workflows. They also discuss where AI can fall short, the importance of human review, and what photographers should ask about privacy and data protection before using AI tools with client images.
Meet Your Host: Sal Cincotta
Sal Cincotta is an award-winning photographer, educator, and entrepreneur with a passion for helping photographers grow thriving businesses. As the host of Hot Takes by H&H, Sal brings his no-nonsense approach to the biggest challenges in the photo industry—cutting through the fluff to deliver actionable advice from real pros in the field. With decades of experience running his own successful studio and speaking at conferences around the world, Sal knows what it takes to stand out in a competitive market
Meet the Guests
How to Use AI in a Volume Photography Business
AI can help a volume photography business handle repetitive work, support image editing, and give staff more time for customers. But it works best when photographers choose specific tasks, check the results, and protect the images and information they handle.
In a podcast discussion, school and sports photography professionals shared where AI has helped, where it has fallen short, and what they consider before adding a tool to their workflow.
How can AI save time in a volume photography business?
One photographer used AI to review customer service emails and identify the most common questions and complaints. Spotting recurring issues can help a team adjust its communication or processes during a busy season.
Another used ChatGPT to build a first draft of an employee handbook. He provided information about the business, then had an attorney review the draft. AI helped prepare the document, while a legal professional checked the work.
AI can also help with business content. One panelist used it to find topic ideas and create outlines, cutting down the time spent searching for subjects to write about. The photographer still shaped the ideas into content for the business.
These are useful starting points because they focus on organizing information and preparing drafts. A person can review the output before it reaches employees or customers.
How can AI help with volume photography workflows?
Image extraction, or removing a background from a photo, is one area where AI can assist. H&H described using AI to improve its extraction tools, including handling fine details such as individual strands of hair. The company still uses people to review and repair extractions.
AI can also prepare an image for a person to finish. For example, software might adjust an underexposed image before color correction. That gives the editor a better starting point while leaving the final judgment to a human.
The panelists emphasized that AI results can vary by subject. One photographer found that background removal worked well for many school portraits but struggled with hockey photos, sometimes cutting off players’ sticks. Staff initially corrected the problems by hand instead of reporting them. The experience showed why teams need a clear way to flag recurring errors and reconsider a tool that is creating extra work.
How should photographers check AI image results?
Review images before delivering them. Look for missing details, awkward edits, and changes to the person’s appearance. A generated edit can alter features such as skin texture, eyes, or ears, even when the request seems minor.
For school and sports photography, the panelists stressed care with children’s images and the experience of picture day. AI can help with production tasks, but it should not distract from making children and families feel seen or from preserving an authentic portrait.
What should you check before using an AI tool?
Before adding a tool to your volume photography business, find out where it processes and stores images, who can access them, how long it keeps them, and whether it uses them to train its systems. Read the terms of service and check that the tool fits your contracts and privacy obligations. If the provider can’t clearly explain how it handles your data, think carefully before uploading client images.
This matters especially for school photography, where student photos and related information need strong protection. Open galleries and broad access can create additional risks. Photographers should be ready to walk away from a tool if its privacy practices don’t meet their needs.
Where should a volume photography business start with AI?
Pick one repetitive task, such as sorting customer emails or preparing an image for editing. Keep a person responsible for reviewing the results, and ask staff to report problems instead of quietly fixing them by hand.
That approach lets a volume photography business test how to use AI in a focused way. The goal is to help people do their work well, while protecting client images and maintaining the customer experience.
Ready to Speed Up Your Volume Photography Workflow?
Ready to put these strategies into action? H&H Color Lab’s all-in-one platform, imago, makes it easy to offer multi-pose photo packages that increase sales without creating extra work.
With customizable package options, flexible pricing, proof galleries, and seamless customer self-service, imago helps photographers boost average order value while delivering a better buying experience for every client.
