Crews already capture a lot of useful information while they work, including project photos, job details, and updates from the field. CompanyCam AI can use that information to help turn jobsite documentation into updates, Documents, and tasks.
Features like Quick Caption, AI Documents, Walkthrough Note, and AI Checklists give teams several ways to use AI throughout a project. Here are three ways contractors can put these AI tools to work.
1. Turn jobsite photos into project updates
Project photos can document completed work, conditions, and what still needs attention. Adding descriptions gives the AI Assistant more context about what each photo shows and makes that information more useful when it’s time to create an update.
With Quick Caption, crew members can talk through a photo instead of typing a description. After taking a photo, they can tap the microphone and explain the location, work completed, damage, materials, or other useful project details.
Create Documents from your project information
When it’s time to update a customer or the office, CompanyCam AI can use selected photos and available project context to create an editable Document. Depending on what you need to communicate, you can create a Summary, Daily Log, or Progress Recap.
For example, your team can:
- Create a Summary for a quick customer or project update.
- Generate a Daily Log from photos and context captured throughout the day.
- Build a Progress Recap to document how a project has changed over time.
Review and edit the generated Document before sharing it so the final update reflects what happened on the job.
2. Capture walkthroughs with photos and voice
A jobsite walkthrough can cover completed work, problem areas, and work that needs to happen next. Walkthrough Note lets you capture those details while you walk the job instead of rebuilding the information afterward.
During the walkthrough, take photos and talk through what you see using natural language. You can identify locations, describe conditions, explain completed work, and call out remaining work while CompanyCam captures that information.
Turn the walkthrough into usable documentation
After the camera session, CompanyCam AI organizes the photos and voice input into an editable Walkthrough Note. You can review the Document, make changes, and use it as a project record or share relevant information with your team.
Walkthrough Notes can also help move information from documentation into the work that needs to happen next. If the walkthrough identifies follow-up work, you can turn the Walkthrough Note into a Checklist for your crew.
3. Build and complete checklists with AI
Checklists help teams turn project requirements into work that crews can complete in the field. CompanyCam AI can create Checklists from spoken instructions, existing Documents, Walkthrough Notes, and supported files.
With Talk to Create, you can describe the work that needs to happen using your normal voice. Include details about locations and specific work so the AI Assistant has enough context to organize the information into Checklist Sections and Fields.
Update checklists from the field
AI can also help crews complete Checklists as work progresses. With Talk to Complete, a crew member can describe what they finished and what remains, and CompanyCam matches that update to the appropriate Checklist Fields.
Teams can also attach photo proof while providing an update. This creates a direct path from documenting a job to assigning and recording the work:
Walk the job → generate a Walkthrough Note → create a Checklist → complete the work
Review AI-created or updated Checklists before relying on them for project work, especially when the source information includes detailed scopes or job requirements.
Bonus: Ask AI about your project data with MCP
CompanyCam’s MCP server connects supported AI tools like Claude and ChatGPT to your CompanyCam project data. Instead of opening projects individually to gather information, you can ask questions about the project information you already have in CompanyCam.
For example, you can ask questions like:
- “What projects did I update this week?”
- “Summarize the job history of [project].”
- “What work is still incomplete on this project?”
- “Show me the recent photo history for this job.”
Use project context in your AI conversations
MCP gives your AI tool access to supported CompanyCam information such as projects, photos, checklists, and comments. Depending on the available MCP actions, you can also use AI to create or edit project information in CompanyCam.
This gives office teams, project managers, sales teams, and owners another way to work with the project data their teams already capture. You can ask follow-up questions to narrow the results, compare available project information, or get more context before taking the next step.
Get more from the information you already capture
CompanyCam AI connects the information crews capture in the field with the Documents and tasks teams need throughout a project. Detailed photo descriptions and voice input give the AI Assistant more project context, so include specific locations, conditions, completed work, and remaining work when they’re relevant.
When using voice features, talk naturally and limit background noise so CompanyCam can capture useful job details. You can also use AI prompts to ask specific questions or provide additional direction when working with your project information. Review AI-generated content before sharing it or using it to guide work.
Get more from your project data.
See how CompanyCam uses AI to help your team work with the information captured on every job.
