Custom AI Implementation Roadmap for Pet Boarding & Kennels
Total Implementation Time
6-10 weeks
Implementation Phases
Discovery & Workflow Audit
We analyze your current reservation flow in Gingr or PetExec and identify manual bottlenecks in vaccination verification and intake processing.
Tasks
- -Audit current manual data entry for rabies and distemper certificates
- -Map the 'Pet Parent' journey from initial inquiry to pickup
- -Review state-specific kennel licensing requirements for record keeping
- -Identify high-traffic holiday capacity constraints
Who is Involved
- Read Laboratories Lead Consultant
- Kennel Owner
- Front Desk Manager
Deliverables
- AI Workflow Automation Map
- Technical Integration Specification
Focus is placed on ensuring the AI logic respects mandatory cooling-off periods for Bordetella vaccinations.
API Integration & Data Mapping
Our team establishes secure connections between your kennel management software and our custom AI processing engine.
Tasks
- -Configure API webhooks for new reservation triggers in ProPet or Gingr
- -Set up secure document storage for pet vaccination uploads
- -Map intake form fields for feeding and medication schedules
- -Establish data validation rules for vet contact information
Who is Involved
- Read Laboratories Engineering Team
- Software Provider Technical Support (as needed)
Deliverables
- Live API Connection Status Report
- Data Mapping Schema
We prioritize the extraction of 'Aggression Alerts' and 'Medical Red Flags' from historical PDF records.
Custom AI Model Training (OCR & NLP)
We train vision models to recognize various vet certificate formats and natural language models to parse complex feeding instructions.
Tasks
- -Train OCR models on diverse vet clinic invoice and certificate layouts
- -Build NLP logic to interpret 'once daily with food' vs 'every 12 hours' instructions
- -Develop automated 'Missing Document' email triggers for pet owners
- -Fine-tune capacity forecasting models for peak holiday seasons
Who is Involved
- Read Laboratories AI Engineers
- Lead Kennel Technician (for logic verification)
Deliverables
- Trained OCR Model for Vaccination Verification
- Automated Instruction Extraction Engine
Training includes handling handwritten notes from veterinarians, which are common in rural boarding scenarios.
Beta Testing & Staff Training
The system is deployed in a sandbox environment where staff can verify AI accuracy against manual checks.
Tasks
- -Run 100 historical vaccination records through the AI to verify accuracy
- -Conduct staff training on the new 'AI-Verified' dashboard
- -Test automated SMS status update triggers for pet parents
- -Refine pickup scheduling logic based on facility traffic patterns
Who is Involved
- Read Laboratories Team
- All Front Desk Staff
- Kennel Managers
Deliverables
- Staff Training Manual
- Accuracy Validation Report
We ensure the AI flags any 'Expired' status clearly to prevent boarding non-compliant animals.
Full Deployment & Optimization
Go-live for all incoming reservations. We monitor performance and optimize the AI based on real-world edge cases.
Tasks
- -Switch to live production for all intake form processing
- -Enable automated billing for AI-detected medication administration
- -Monitor AI confidence scores for certificate parsing
- -Weekly performance review and logic adjustment
Who is Involved
- Read Laboratories Support Team
- Kennel Owner
Deliverables
- Final Project Performance Dashboard
- Ongoing Maintenance Schedule
Post-launch focus is on reducing 'Check-in Time' by at least 40% through pre-verified documentation.
Tool Integrations
Gingr
4-6 hoursAutomating vaccination status updates and reservation tagging via API.
PetExec
3-5 hoursSyncing AI-parsed feeding and medication schedules directly to pet profiles.
Time To Pet
2-4 hoursTriggering automated client communications and field staff updates.
QuickBooks Online
2-3 hoursAutomating line-item additions for medication fees identified by AI in intake forms.
Twilio
1-2 hoursPowering AI-driven SMS updates to pet parents regarding photo uploads and status.
Common Blockers and Solutions
Blocker
Low-quality vet certificate uploads
Solution
Implementing an automated 'Image Quality' check that asks the pet owner to re-upload if the scan is unreadable.
Blocker
Non-standardized medication instructions
Solution
Using Large Language Models (LLMs) to normalize varied text into standardized kennel dosing schedules.
Blocker
API limitations of legacy software
Solution
Utilizing Robotic Process Automation (RPA) for tools that lack modern API endpoints.
Blocker
Staff 'Tech Fatigue'
Solution
Designing the AI to work entirely in the background of your existing Gingr or PetExec interface.
DIY vs. Read Laboratories
| Category | DIY | Read Laboratories |
|---|---|---|
| Implementation Speed | 6-12 months of trial and error with generic tools. | Fully operational in 6-10 weeks. |
| Vaccination Accuracy | Manual review prone to human error and fatigue. | 99.2% accuracy using custom-trained OCR models. |
| Software Integration | Limited to basic Zapier connections. | Deep API/Webhook integration with Gingr, PetExec, and ProPet. |
| Cost Efficiency | High labor costs for manual intake processing. | Reduces front-desk administrative overhead by 50-70%. |
| Compliance Risk | Missing an expired rabies cert can lead to fines. | Automated 30-day lookback and expiration flagging. |
| Support | General software forums and help docs. | Direct access to our Westlake Village-based engineering team. |
FAQ
How does the AI handle different vet certificate formats?
We use a custom-trained Computer Vision model that recognizes the layout of thousands of different vet clinics. It doesn't just read text; it understands the context of 'Date Given' vs 'Date Due' regardless of where it appears on the page.
Can the AI distinguish between Rabies, Distemper, and Bordetella?
Yes. The system is specifically programmed with pet boarding logic to identify each required vaccine, check the expiration date, and cross-reference it with your facility's specific grace periods or state regulations.
Will we need to switch from Gingr or PetExec?
No. Our goal is to make your existing software smarter. We build 'bridges' that push the AI-processed data directly into the fields you already use every day.
What happens if the AI is unsure about a document?
We implement a 'Confidence Score' threshold. If the AI is less than 95% certain (e.g., due to a blurry photo), it flags the record for a quick human review rather than making an incorrect entry.
How do you handle complex feeding or medical instructions?
We use Natural Language Processing (NLP) to parse free-form text from intake forms. The AI can identify dosages, frequencies, and special requirements (like 'hide pill in peanut butter') and format them into clear instructions for your kennel techs.
Serving Pet Boarding & Kennels businesses nationwide. Based in Westlake Village, CA.