Feature Overview: AI Inspection Assistant – Inspect Point Help Desk

🧠 AI Inspection Assistant Overview

This article provides a high-level overview of Inspect Point's AI Inspection Assistant—your behind the scenes partner that works to catch common inspection issues before reports reach your office.

We'll cover what the Inspection Assistant is, how it works, streamlined workflows for both backend users and mobile technicians, and a glimpse at upcoming enhancements as this feature continues to evolve.

Whether you're evaluating the feature for the first time or preparing to roll it out to your team, this overview is designed to give you the context you need before diving into the details.

Interested in learning more? If you'd like to explore Inspect Point's AI Inspection Assistant or schedule a demonstration, please reach out to your Customer Success Manager.

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📋 What is Inspection Assistant?

Inspection Assistant is an AI-powered quality control tool that reviews inspections and flags any issues before they are submitted to the backed. It's your behind the scenes partner that works to catch common issues like:

Unanswered questions
Missing photos or signatures
Poor grammar or profanity
Shorthand that needs expanding
Notes that don't make sense for what's being inspected

The key benefit: Instead of office staff spending hours correcting reports, Inspection Assistant catches issues while the tech is still on-site, reducing back-and-forth by 60-80%.

🚀 How It Works

When a technicians completes an inspection, instead of "Send to Office," they'll see "Send Inspection Assistant for Review". Once submitted to the AI Assistant, it automatically reviews the inspection data and flags anything that might need attention, including:

Unanswered questions
Grammar and style issues
Missing information

Technicians are prompted to review flagged items, make corrections if needed, and then continue with submitting the inspection to the office.

Following submission, an Inspection Assistant tab appears on the Inspection Detail screen, providing an interaction timeline, as well as any unresolved issues flagged. Users can suggest corrections, send items back for technician updates, or dismiss them as appropriate.

Additionally, backend users can monitor the effectiveness of your AI assistant via the Inspection Assistant Insights Dashboard, which tracks how effectively the AI identifies issues, processing speed, and which problem areas occur most frequently.

📱 Technician Overview

The AI Inspection Assistant integrates seamlessly into the mobile technician experience with minimal disruption to existing workflows.

During Inspection: Enhanced Notes Button

The only visible change during an inspection is an "Enhanced Notes" button when adding deficiency notes. This optional feature allows technicians to quickly improve your deficiency notes while completing an inspection.

At Submission: Review Screen

When a technician completes an inspection, they'll see "Send to Inspection Assistant for Review" instead of "Send to Office." The inspection saves on their device, processes in the background (averaging 2-2.5 minutes), and then displays a review screen with any issues found. Technicians can fix, ignore, or leave issues. The "Send to Office" button will appear on the AI Review Screen.

Issue Categories

Technicians will encounter four main issue categories: Unanswered Questions, Missing Information (photos, notes, signatures, time entries), Writing Quality (with profanity requiring mandatory correction), and Historical Differences (recurring deficiencies).

Multi-Tech Inspections & Corrections

When multiple technicians work on one inspection, each sees only their own issues. When office staff sends corrections back, technicians are notified via email and can view issues in three locations: the Home page "IA Issues" card, the Schedule page (with issue counts), and the Jobs tab under Completed.

🖥️ Backend Overview

AI Settings Configuration

Once enabled, you'll see an Artificial Intelligence section in your backend settings (Backend Settings → Artificial Intelligence → AI Inspection Assistant Settings). Admin users can toggle the feature on, choose which inspection issues the AI should flag, and select which technicians the AI is available for.

Important: Once the feature is enabled for your instance by Inspect Point, it must be activated by an admin user in the backend. See our separate activation guide for detailed setup instructions.

Dashboard: Inspection Assistant Insights

Located in the backend (Analytic Reports → Dashboards → Inspection Assistant Insights) this dashboard provides key metrics including Total Existing Issues, Total Open Issues, Average Processing Time, Average Resubmissions, and Top Issue Categories—helping you identify patterns and training needs.

Inspection Assistant Tab

Review Screen & Office Actions

The review screen displays issue cards with tags (Resolved, Dismissed by Tech, Skipped, Dismissed by Office, Suggested, High Impact) and defaults to showing only unresolved issues. Office users can suggest corrections for individual issues or all issues at once, undo resolved items, or dismiss issues they're comfortable with.

Completing Review

When satisfied with an inspection, users will click "Complete Review Process," optionally change the Inspection status, and all AI review buttons lock (reactivating only if the tech resubmits).

🔍 Understanding What IA Checks

Inspection Assistant currently reviews key areas:

Unanswered Questions - Flags questions left blank on inspections
Missing Information - Catches missing deficiency photos, notes, signatures, and time entries
Writing Quality - Corrects grammar, spelling, profanity, shorthand (110-115 abbreviations), provides translation, and checks relevancy
Historical Deficiency Intelligence - Identifies unclosed deficiencies and offers auto-close options

🔮 Coming Soon

We’re continuing to enhance the AI Inspection Assistant to provide deeper visibility, improved review tools, and a smoother workflow between the field and office. Features to look out for:

Out-of-Spec Value Detection - Compares historical answers, applies code-based acceptable ranges, and performs quartile analysis
Pump Curve Validation - Cross-references readings against expected values
Back Office Warnings - Time/speed checks, proximity alerts, and recurring deficiency tracking (not shown to techs)

As we refine our machine learning models and expand detection capabilities, you'll see smarter, more context-aware suggestions that learn from your company's historical data.