AI Claims Automation in 2026: Clive vs V7 Go vs FieldScribe AI - What Loss Adjusters Actually Need
Shubham JainFebruary 13, 202615 min readAI claims tools in 2026 fall into two distinct categories: desk-based claims management platforms (Five Sigma Clive, V7 Go) built for insurance carriers and TPAs, and field documentation tools (FieldScribe AI) built for individual adjusters who work on-site. Most loss adjusters searching for "AI claims automation" actually need field documentation tools, not enterprise platforms. Understanding this distinction will save you time, money, and frustration.
The AI insurance market is growing fast. New tools launch every quarter. But the marketing around these products often blurs the line between what carriers need and what adjusters need. A claims management platform that processes FNOL intake for a carrier with 50,000 annual claims is fundamentally different from a mobile app that helps a single adjuster document roof damage at an inspection site.
This article breaks down exactly what Five Sigma Clive, V7 Go, and FieldScribe AI do, who they are built for, and which one makes sense for your specific role in the claims process. For a broader overview of AI in the insurance sector, see our guide on how AI is transforming the insurance industry in 2026.
What Is the Difference Between Claims Automation and Field Documentation?
Claims automation and field documentation solve different problems at different stages of the claims lifecycle. Confusing them is the most common mistake adjusters make when evaluating AI tools.
Claims automation refers to the back-office process of managing a claim from first notice of loss (FNOL) through settlement. This includes intake, triage, coverage verification, reserve setting, fraud screening, and payment. These systems are designed for insurance companies: carriers, TPAs, and MGAs that handle thousands of claims per month. The user is typically a desk adjuster, claims manager, or operations team.
Field documentation refers to the on-site process of inspecting damage, capturing evidence, recording observations, and generating reports. This is the work done by field adjusters, independent adjusters, and licensed surveyors who physically visit the loss site. The user is the individual doing the inspection.
Think of it this way: claims automation is what happens at the carrier's office after the adjuster submits a report. Field documentation is what happens at the inspection site before the report is submitted. Both processes benefit from AI, but they require completely different tools.
For a complete breakdown of AI tools available across both categories, read our guide to the best AI tools for insurance claims in 2026.
What Is Five Sigma's Clive AI?
Clive is Five Sigma's agentic AI system for claims management. It is a multi-agent platform where specialized AI agents handle different stages of the claims workflow: intake, triage, coverage analysis, fraud detection, quality assurance, and communication. Each agent is trained for a specific task, and they work together to process claims from start to finish. For a complete explanation of what agentic AI means and how it applies to field adjusters, read our guide to agentic AI for insurance field adjusters.
How Does Clive Work?
Clive is built on Google Gemini and operates within Five Sigma's cloud-based claims management system. When a new claim arrives, Clive's intake agent extracts information from FNOL submissions, emails, and documents. The triage agent assigns priority and routes the claim. The coverage agent analyzes policy terms against loss details. The fraud agent flags anomalies. The quality agent reviews outputs before they reach a human adjuster.
According to Five Sigma's published metrics, Clive delivers 30% faster cycle times and 70% fewer errors compared to manual claims processing. These are meaningful numbers for carriers processing high volumes of claims.
Who Is Clive Built For?
Clive is an enterprise product. It is designed for insurance carriers, TPAs, and MGAs that manage large claim portfolios. The pricing is enterprise-level, typically requiring annual contracts and implementation projects. Individual adjusters cannot purchase Clive. Independent adjusters cannot sign up for a subscription.
This is not a limitation of the product. It is the intended design. Clive solves the carrier's problem: processing thousands of claims efficiently with fewer desk adjusters. It does not solve the field adjuster's problem: documenting damage quickly and generating accurate reports on-site.
What Are the Key Limitations for Field Adjusters?
Clive has no field capture capabilities. There is no mobile app for on-site inspections. No voice recording. No offline mode. No GPS-tagged photo capture. No report generation from field observations. If you are a loss adjuster who visits inspection sites, Clive is not designed for your workflow. It is designed for the carrier or TPA that receives your reports after you submit them.
What Is V7 Go?
V7 Go is an AI agent platform focused on document processing and data extraction for insurance operations. It uses visual AI and large language models to read, understand, and process insurance documents: ACORD forms, medical bills, invoices, photos, and supporting documentation attached to claims.
How Does V7 Go Process Claims Documents?
V7 Go works by ingesting documents submitted as part of the claims process and extracting structured data from them. It can read ACORD forms and pull out policy numbers, dates of loss, coverage limits, and claimant information. It processes medical bills to identify procedure codes, amounts, and provider details. It analyzes photos for damage assessment in specific use cases like pet insurance and property claims.
V7 reports 95-99% accuracy on document extraction tasks, which is high enough for production use in many insurance workflows. The platform has been adopted by pet insurance companies, property claims operations, and other insurance verticals that process large volumes of standardized documents.
Who Is V7 Go Built For?
V7 Go is built for insurance operations teams, claims processing centers, and technology departments at carriers and MGAs. It is a document intelligence platform: it sits between incoming documents and the claims management system, extracting data and routing it to the right workflow.
Like Clive, V7 Go is not a field tool. It does not have a mobile app for on-site inspections. It does not capture voice notes, take GPS-tagged photos, or generate reports from field observations. Its strength is processing documents that already exist, not creating new documentation in the field.
What Are the Key Limitations for Field Adjusters?
V7 Go is a back-office tool. It processes documents after they have been created and submitted. For a field adjuster standing on a damaged roof, V7 Go offers no direct value. It cannot help you capture observations, organize evidence, or write your report. It can, however, help the carrier process your report faster after you submit it.
The pricing model reflects this: V7 Go is sold to organizations, not individuals. It is priced per document or per API call, designed for teams processing hundreds or thousands of documents per month.
What Is FieldScribe AI?
FieldScribe AI is a voice-to-report field documentation tool built specifically for individual loss adjusters, surveyors, and field inspectors. It automates the documentation and report writing workflow that happens on-site during inspections.
How Does FieldScribe AI Work in the Field?
FieldScribe AI works on your phone. You arrive at the inspection site, open the app, and start documenting. You speak your observations, and the AI transcribes them in real time. You take photos, and the AI automatically tags them with GPS coordinates, timestamps, and categories. You upload policy documents, and the AI extracts relevant terms, coverage limits, and conditions.
When you finish the inspection, FieldScribe AI generates a structured report from your voice notes, photos, and policy data. The report follows industry-standard formats and includes all mandatory sections. You review it, make edits, and submit. What used to take 3-5 hours of desk work now takes 20-30 minutes of review.
For a deeper look at how AI saves time throughout the inspection workflow, read our field guide on 10 ways AI saves time for loss adjusters.
What Makes FieldScribe AI Different?
Offline-first architecture. All core features work without internet. Voice capture, photo documentation, and on-device AI processing run fully offline. This matters at disaster sites where cell towers are down and in rural areas with poor connectivity. Data syncs automatically when you reconnect.
GPS-tagged evidence. Every photo and voice note is tagged with GPS coordinates and timestamps. This creates a verifiable chain of evidence that holds up under scrutiny from carriers, courts, and regulatory bodies.
AI report generation. The AI does not just transcribe. It structures your observations into a complete report with proper sections, formatting, and terminology. It cross-references your findings against policy documents and flags gaps or inconsistencies before you submit.
Built for individuals. FieldScribe AI is sold directly to adjusters and surveyors. The Starter plan begins at Rs 3,749/month. You do not need your carrier or TPA to purchase it for you. You do not need an enterprise contract or an implementation project. You download the app, subscribe, and start using it on your next inspection.
FieldScribe AI currently serves adjusters and surveyors in India and the USA. For a detailed comparison with other field tools, see our FieldScribe AI vs MagicPlan, Five Sigma, and Xactimate comparison.
How Do These Tools Compare?
The following table provides a direct feature comparison across all three platforms. Pay attention to the "Target User" and "Field Capability" rows, as they highlight the fundamental difference between these tools.
| Feature | Five Sigma Clive | V7 Go | FieldScribe AI |
|---|---|---|---|
| Target User | Carriers, TPAs, MGAs | Operations teams, carriers | Individual adjusters, surveyors |
| Pricing Model | Enterprise contracts | Per document / API call | Starter from Rs 3,749/month |
| Field Capability | None | None | Full mobile field documentation |
| Offline Mode | No | No | Yes, offline-first |
| Voice Capture | No | No | Yes, real-time transcription |
| Report Generation | Claims summaries (desk) | Data extraction reports | Full inspection reports from field data |
| Claims Triage | Yes, AI-powered | Partial (document routing) | No |
| Fraud Detection | Yes, dedicated agent | Yes, document anomalies | Evidence integrity (GPS, timestamps) |
| Document Processing | Yes, multi-format | Yes, 95-99% accuracy | Policy extraction for reports |
The table makes the distinction clear. Clive and V7 Go are back-office platforms for insurance companies. FieldScribe AI is a field tool for the person doing the inspection. They serve different users at different stages of the same process.
Which Tool Do You Actually Need as a Loss Adjuster?
The answer depends on your role in the claims process.
If you are a desk adjuster or claims manager at a carrier or TPA, you work within a claims management system. Tools like Clive can accelerate your workflow by automating triage, coverage analysis, and quality checks. V7 Go can speed up document processing for incoming claims. These tools make sense for your role because you are processing claims, not inspecting damage.
If you are a field adjuster, independent adjuster, or licensed surveyor, you visit inspection sites. You document damage, capture evidence, interview policyholders, and write reports. You need a tool that works on your phone, operates offline, captures voice and photos, and generates reports. FieldScribe AI is built for this workflow.
If you are an independent adjuster working for multiple carriers, the distinction is even more important. You cannot purchase Clive or V7 Go because they are sold to organizations, not individuals. FieldScribe AI is the tool you can buy, install, and use immediately, regardless of which carrier or TPA you are working with.
For more on how AI tools specifically help loss adjusters in the field, read our guide on AI for loss adjusters: tools and technology.
Can Enterprise AI Platforms and Field Tools Work Together?
Yes. In fact, they work best together. Enterprise claims platforms and field documentation tools operate at different layers of the claims process, and they complement each other.
Here is how the workflow looks in practice:
- A policyholder files a claim with their carrier.
- The carrier's claims management system (potentially powered by Clive) triages the claim and assigns it to a field adjuster.
- The field adjuster visits the site and uses FieldScribe AI to document damage, capture evidence, and generate the inspection report.
- The adjuster submits the report to the carrier.
- The carrier's document processing system (potentially powered by V7 Go) extracts data from the report and feeds it into the claims management workflow.
- The claims management system processes the report, sets reserves, and moves the claim toward settlement.
In this workflow, all three tools are valuable. They just serve different users at different steps. The field adjuster uses FieldScribe AI. The carrier uses Clive and V7 Go. The data flows between them.
FieldScribe AI generates structured, standardized reports that are easy for downstream systems to process. This means the reports you create with FieldScribe AI are more compatible with carrier systems than handwritten notes or unstructured Word documents.
What About Shift Technology, Tractable, and Other AI Tools?
The AI insurance market includes several other notable platforms worth mentioning:
Shift Technology specializes in fraud detection and claims automation for carriers. Like Clive, it is an enterprise platform sold to insurance companies. It analyzes claims data patterns to identify potential fraud. It is not a field tool.
Tractable uses computer vision to assess vehicle and property damage from photos. It is closer to field work than Clive or V7 Go because it analyzes damage photos. However, Tractable is still sold to carriers and repair networks, not to individual adjusters. It processes photos that have already been taken, rather than helping you take and organize them during an inspection.
Xactimate from Verisk is the industry standard for property claims estimating in the United States. It is an estimating tool, not a documentation tool. Many adjusters use Xactimate for pricing and FieldScribe AI for documentation, as they solve different parts of the workflow.
The common thread: nearly all AI tools in the insurance market are built for carriers and enterprises. FieldScribe AI stands apart because it is built for the individual adjuster or surveyor, the person who actually visits the damage site and needs to document what they see. For a deeper look at whether these AI tools will eventually replace adjusters, read our article on whether AI will replace insurance adjusters.
The claims process has two sides: the office side and the field side. Most AI tools in 2026 focus on the office side. FieldScribe AI focuses on the field side. If you are the person standing in front of damaged property, writing notes, and taking photos, FieldScribe AI is the tool built for your workflow.
Frequently Asked Questions
What is Five Sigma Clive and can individual adjusters use it?
Five Sigma Clive is a multi-agent AI system built for insurance carriers, TPAs, and MGAs to automate claims management workflows including intake, triage, coverage analysis, fraud detection, and quality assurance. It is built on Google Gemini and operates within Five Sigma's cloud-based platform. Individual adjusters cannot purchase or use Clive independently. It requires an enterprise contract and is designed for organizations processing large volumes of claims, not for individual field adjusters.
Is V7 Go suitable for field loss adjusters?
No. V7 Go is a document intelligence platform designed for insurance operations teams. It processes documents like ACORD forms, medical bills, and claim attachments with 95-99% accuracy. It does not have mobile field capabilities, offline mode, voice capture, or on-site report generation. V7 Go is valuable for carriers and TPAs that need to extract data from submitted documents, but it does not help field adjusters during inspections.
What is the difference between claims automation and field documentation AI?
Claims automation (Clive, V7 Go) handles the back-office workflow: processing FNOL, triaging claims, verifying coverage, detecting fraud, and managing settlements. It is designed for insurance companies. Field documentation AI (FieldScribe AI) handles the on-site workflow: capturing observations via voice, organizing photo evidence, extracting policy data, and generating inspection reports. It is designed for individual adjusters and surveyors. Both are AI-powered, but they solve different problems at different stages of the claims lifecycle.
Which AI tool should independent adjusters choose?
Independent adjusters should choose FieldScribe AI. It is the only tool among these three that is sold directly to individual adjusters, works on mobile devices during field inspections, operates offline, and generates complete inspection reports from voice and photo data. Starting at Rs 3,749/month, it is priced for individual professionals. Clive and V7 Go require enterprise contracts and are designed for carriers, not individual users.
Can FieldScribe AI integrate with claims management platforms?
Yes. FieldScribe AI generates structured, standardized reports that are compatible with carrier claims management systems. The reports follow industry-standard formats, making them easy for downstream systems (including those powered by Clive or V7 Go) to process and extract data from. While there is no direct API integration between FieldScribe AI and specific claims platforms at this time, the structured output ensures smooth data flow in the claims process. For a deeper dive into how AI automates the FNOL intake and adjuster assignment steps that happen before field inspection, see our guide on AI FNOL summary automation for carriers.
Frequently Asked Questions
Shubham Jain
Co-Founder & Tech & Product Expert, FieldScribe AI
IIT Bombay alumnus with 5+ years in Product and Technology. Ex Tata, ex Daikin (Japan). Co-founder of NiryatSetu and TradeReboot. The brain and executor behind FieldScribe AI, specializing in AI/ML, speech recognition, and scalable mobile-first architectures.
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