- Organization
- Camp Ramaquois, a summer camp serving hundreds of children each season
- Industry
- Summer camp / childcare
- Process automated
- Camper intake and onboarding document validation
- Primary tools
- Zenphi, Gmail, Google Forms, Google Sheets, and Google Drive
- AI role
- Review incoming camper document packages, identify missing or incorrect information, generate personalized follow-up, and support exception handling
- Result
- 14 days of key-staff work saved during the critical March–June ramp-up, with more consistent review and no new tools or training required for end users
Camp Ramaquois did not need another system for staff to learn. It needed a reliable second set of eyes inside the Google Workspace tools the team already used. Zenphi allowed the camp to combine AI analysis with workflow automation so incomplete camper files are detected and corrected before they reach the core onboarding team.
Seasonal onboarding created a short window for reviewing hundreds of sensitive camper files
Camp Ramaquois serves hundreds of children each season, which creates a concentrated intake period ahead of summer. During that ramp-up, staff need to collect and review high volumes of camper information while keeping onboarding easy for families and ensuring important details are not missed.
The camp operates in a largely non-technical environment. Many of the people involved in onboarding are not technology specialists, so adding another standalone application would have created its own training and adoption problem.
Hundreds of camper files arrive during a limited period, putting pressure on key staff just before camp begins.
Camper packages contain sensitive information and required documents, so missing fields or incorrectly completed forms cannot simply be ignored.
When information is missing, staff have to identify the problem, contact the submitter, follow up again if needed, and track whether the file is finally complete.
The camp wanted to improve the process without moving staff away from familiar Google Workspace tools or requiring a new training program.
“Any new tool we bring on really needs to work with the tools our staff already understands. Zenphi fits perfectly into our Google Workspace environment.”
An AI document-validation agent inside the existing Google Workspace intake process
Camp Ramaquois used Zenphi to build an AI agent that acts as a “second set of eyes” during intake. Rather than asking staff to open a separate AI application, the workflow sits behind the Google Workspace tools already used for submissions and communication.
Its job is to validate the camper’s document package before the file reaches the core onboarding team. AI handles the interpretation and review of submitted information, while deterministic workflow logic controls reminders, routing, escalation, and final filing.
1. Intake from Gmail and Google Forms
The workflow monitors incoming Gmail attachments and Google Forms submissions. Each camper’s package is cross-checked against a master list of documents required for that camper.
2. AI checks completeness and field-level accuracy
The agent does more than confirm that a file exists. It can identify problems inside the submitted information — for example, a missing medical signature or incorrectly completed emergency-contact information.
Forms and attachments arrive through the channels families already use.
The workflow checks the package against the master list of required documents and evaluates whether required information has been completed correctly.
If something is missing or incorrect, AI generates a personalized message explaining what the submitter needs to provide or correct.
The workflow sends reminders at predefined intervals so incomplete requests do not disappear in an inbox.
If documentation is still incomplete after the reminder cycle, a manager receives a task and decides whether onboarding should proceed or the camper’s entry should be blocked.
Once the package is complete, the onboarding team receives the final task and the documents are filed in the correct Google Drive folder.
AI makes the judgment; workflow automation makes the process reliable
The useful part of this case is the combination of AI and process logic. AI can interpret unstructured information and determine whether something looks missing or incorrectly completed. The workflow then decides what should happen next: contact the family, wait, remind them, escalate to a manager, or move the validated package into onboarding.
That combination prevents the AI step from becoming an isolated “ask a model” task. It becomes part of a controlled operational process with explicit next steps and a human decision-maker when the automation reaches an exception it should not resolve on its own.
14 days of staff work recovered during the critical pre-season ramp-up
| Area | Before automation | With Zenphi |
|---|---|---|
| Document review | Staff manually checked incoming camper information | AI reviews packages before they reach the onboarding team |
| Missing information | Staff identified issues and wrote follow-up messages manually | AI identifies problems and generates personalized correction requests |
| Follow-up | Incomplete submissions required repeated manual chasing | Reminders are sent automatically at predefined intervals |
| Exceptions | Staff had to monitor every file throughout the process | Only unresolved cases are escalated to a manager for a human decision |
| Final handoff | Core staff could receive files that still required checking | Only validated packages move to onboarding and the correct Drive folder |
| Staff workload | Heavy manual auditing and back-and-forth communication | 14 days of key-staff work saved during the March–June ramp-up |
No new user experience to learn
Because the automation operates behind Gmail, Google Forms, Google Sheets, and Drive, staff do not need to learn a separate application to benefit from it. The automation changes the process in the background while the visible tools remain familiar.
“Most of our team members don’t even know what Zenphi is — they keep using tools they have been using all along. There’s no learning curve for them.”
Automation absorbs the peak without adding more process for the team
Camp Ramaquois has a seasonal workload pattern: application and onboarding volume rises sharply before camp, exactly when core staff have limited time to spare. A workflow that can process large numbers of submissions without creating a new user interface is particularly valuable in that environment.
The existing page also highlights that Zenphi workflows stay inside familiar Google Workspace tools and offer more workflow depth than simple task automation tools such as Zapier and Zapier alternative.
From AI “checker” to operational “synthesizer”
Document validation is Phase 1 for Camp Ramaquois. With the intake process standardized, the team is considering how the same AI-and-workflow pattern can support broader camp operations.
“We used to think we had to avoid technology to preserve the spirit of camp. Now we know that smart automation helps us focus more on what really matters — our campers.”
Questions about this case study
What does the Camp Ramaquois AI agent validate?
It reviews camper document packages against a master list of required documents and checks for missing or incorrectly completed information, including examples such as medical signatures and emergency contacts.
What happens when information is missing?
The AI generates a personalized correction request and the workflow sends automated reminders. If the package remains incomplete after the reminder cycle, the case is escalated to a manager for a human decision.
How much time did the camp save?
The case reports 14 days of key-staff work saved during the critical March–June pre-season ramp-up by reducing manual auditing and back-and-forth communication.
Did staff need to learn a new application?
No. The workflows operate through familiar tools such as Gmail, Google Forms, Google Sheets, and Google Drive, so end users can continue working in the tools they already know.
Does AI make the final decision on incomplete camper files?
No. If automated follow-up does not resolve the missing documentation, a task is assigned to a manager who decides whether onboarding should proceed or the camper’s entry should be blocked.
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