Responsible AI & AI Usage Policy

iFieldSmart Technologies, LLC (“iFieldSmart,” “we,” “our,” or “us”) is committed to the responsible development, deployment, and operation of artificial intelligence (“AI”) technologies across our platforms, including iFieldSmart, Lens360, and related construction intelligence solutions (collectively, the “Services”).

This Responsible AI & AI Usage Policy describes how iFieldSmart approaches AI governance, customer data protection, AI-assisted workflows, model usage, human oversight, and responsible deployment practices.

This policy is intended to support transparency, enterprise trust, customer confidence, and responsible AI usage across construction and infrastructure workflows.

This Responsible AI & AI Usage Policy should be read together with the iFieldSmart Privacy Policy and the applicable End User License Agreement or customer subscription agreement. In the event of any inconsistency, the governing order of precedence will be as set out in the applicable contract.

1. Purpose of This Policy

iFieldSmart utilizes AI technologies to assist customers in improving construction workflows, project visibility, documentation management, field operations, coordination processes, and operational efficiency.

The purpose of this policy is to:

• Explain how AI-enabled features operate within the Services;
• Describe our responsible AI commitments;
• Clarify customer and user responsibilities;
• Establish expectations regarding AI-generated outputs;
• Promote secure, transparent, and ethical AI usage.

2. Scope

This policy applies to AI-enabled features and workflows within:

• iFieldSmart platform services;
• Lens360 reality capture workflows;
• AI-assisted construction intelligence capabilities;
• AI-powered document processing;
• AI-assisted observation reporting;
• AI-assisted search and retrieval systems;
• Workflow automation features;
• Construction data analysis tools;
• Future AI-enabled capabilities provided by iFieldSmart.

3. Our Responsible AI Principles

iFieldSmart’s AI governance approach is guided by the following principles:

A. Human Oversight

AI systems are designed to assist human decision-making, not replace professional expertise or human judgment.

Human review, oversight, and validation remain important components of construction workflows.

B. Customer Data Protection

We are committed to protecting customer data used in connection with AI-assisted workflows and maintaining appropriate safeguards around sensitive construction information.

C. Transparency

We aim to provide transparency regarding:

• AI-enabled functionality
• AI-assisted workflows
• AI limitations
• AI provider relationships
• AI usage practices

D. Responsible Deployment

We strive to deploy AI capabilities in a controlled and operationally responsible manner appropriate for construction and enterprise environments.

E. Security & Governance

AI systems are subject to security monitoring, operational governance, and platform controls designed to support secure usage and reduce misuse risks.

F. Continuous Improvement

We continuously evaluate and improve AI workflows, operational safeguards, and governance practices as technologies and industry standards evolve.

4. AI-Assisted Workflows

iFieldSmart AI capabilities may support workflows including:

• Construction document analysis;
• AI-assisted observation reporting;
• BIM-related workflows;
• Construction intelligence retrieval;
• Field documentation assistance;
• Construction data organization;
• Search and retrieval functions;
• Visual construction data analysis;
• Lens360 documentation workflows;
• Workflow automation and summarization.

AI-enabled features are intended to assist operational efficiency and information accessibility within construction workflows.

5. Human Review & Professional Responsibility

AI Outputs Require Human Review

AI-generated outputs may contain:

• Inaccuracies
• Omissions
• Incomplete information
• Incorrect interpretations
• Hallucinations
• False positives or missed issues

Accordingly:

• Users are responsible for reviewing and validating outputs;
• AI outputs should not be relied upon without appropriate human review;
• AI-generated content should be evaluated within the context of the applicable project, workflow, and professional standards.

No Replacement for Licensed Professionals

AI capabilities provided by iFieldSmart do not replace:

• Licensed architects
• Engineers
• Safety professionals
• Compliance personnel
• Construction managers
• Field supervisors
• Human QA/QC processes
• Professional inspections or approvals

The Services are intended as decision-support and workflow-assistance tools only.

6. Customer Data & AI Model Usage

No Public Model Training

Customer data, project information, uploaded files, BIM models, prompts, visual captures, and related customer content are not used to train public or shared AI models (that is, models made available for use by unrelated customers or the general public).

No Cross-Customer Training

Customer-specific information is not intentionally shared across customers for AI training purposes.

AI Processing for Service Delivery

Customer data may be processed through AI-enabled workflows solely for:

• Delivering requested Services;
• Operating AI-assisted functionality;
• Improving platform operations;
• Supporting workflow execution;
• Maintaining platform security and reliability.

De-Identified & Aggregated Information

iFieldSmart may utilize aggregated or de-identified information for platform analytics, service improvement, AI workflow optimization, benchmarking insights, and operational performance analysis. Such information is processed in a manner designed not to identify individual customers or projects.

7. Third-Party AI Providers

iFieldSmart may utilize trusted third-party providers to support AI-enabled capabilities and workflows. These providers may include:

• OpenAI;
• Anthropic;
• Google;
• Cloud infrastructure providers;
• OCR and document processing providers;
• AI workflow infrastructure providers.

Where applicable:

• Third-party providers are contractually restricted from using customer data to train public models;
• AI providers are engaged subject to security and operational safeguards;
• Customer data is processed solely for delivering requested functionality.

Provider relationships and technologies may evolve over time as AI capabilities develop.

8. Lens360 AI & Visual Data Processing

Lens360 workflows may utilize AI-assisted technologies in connection with 360° imagery, spatial documentation, site photography, existing conditions capture, visual observation workflows, construction intelligence generation, and AI-assisted documentation analysis.

Visual construction data may contain sensitive or confidential project information. iFieldSmart processes such data solely for delivering contracted Services, supporting customer workflows, providing AI-assisted functionality, and improving operational efficiency.

Customers remain responsible for:

• Ensuring lawful collection of visual data;
• Obtaining necessary permissions;
• Complying with applicable laws and regulations;
• Maintaining appropriate project-level controls.

9. AI Security & Operational Safeguards

iFieldSmart maintains administrative, technical, and organizational measures intended to support secure AI operations.

Security and governance practices may include:

• Access controls
• Authentication controls
• Encryption safeguards
• Security monitoring
• Operational oversight
• Controlled AI access
• Role-based permissions
• Customer environment separation
• Logging and audit capabilities

While commercially reasonable safeguards are implemented, no AI system or technology can be guaranteed entirely error-free or risk-free.

10. AI Limitations & Service Availability

AI technologies continue to evolve and may not always:

• Produce accurate results
• Interpret construction context correctly
• Identify all issues or conditions
• Generate complete outputs
• Reflect current regulations or codes
• Meet customer-specific requirements

AI functionality may also:

• Change over time
• Be updated or modified
• Produce variable results
• Depend on underlying third-party technologies

iFieldSmart does not guarantee that AI outputs will always be:

• Accurate
• Complete
• Reliable
• Error-free
• Suitable for every use case

11. Customer Responsibilities

Customers and users are responsible for:

• Reviewing AI-generated outputs;
• Maintaining appropriate human oversight;
• Verifying project-critical information;
• Using AI features lawfully;
• Avoiding prohibited or harmful uses;
• Protecting account credentials;
• Ensuring authorized use of project data;
• Maintaining compliance with applicable laws and contractual obligations.

Customers should not rely solely on AI-generated outputs for:

• Safety decisions
• Regulatory compliance determinations
• Engineering approvals
• Legal conclusions
• Final construction sign-offs
• Life-safety determinations

12. Prohibited AI Uses

Users may not use iFieldSmart AI capabilities to:

• Violate applicable laws or regulations;
• Infringe intellectual property rights;
• Submit unlawful or malicious content;
• Attempt unauthorized access;
• Circumvent platform safeguards;
• Generate harmful, deceptive, or fraudulent content;
• Reverse engineer AI systems;
• Conduct unauthorized benchmarking or competitive analysis;
• Interfere with platform operations.

iFieldSmart reserves the right to restrict or suspend access for misuse or prohibited activity.

13. AI Governance & Internal Controls

iFieldSmart maintains internal governance processes intended to support:

• Responsible AI deployment
• Operational oversight
• Security monitoring
• Platform integrity
• Controlled AI access
• Workflow evaluation
• Risk management
• Ongoing improvement initiatives

Governance practices may evolve as technologies, regulations, and industry standards continue to develop.

14. Compliance & Regulatory Considerations

iFieldSmart seeks to align AI operations with applicable:

• Privacy laws
• Enterprise security expectations
• Industry-standard safeguards
• Responsible AI practices
• Customer contractual requirements

Depending on the Services and customer agreements, iFieldSmart may support compliance-related efforts involving:

• GDPR
• CCPA/CPRA
• Enterprise procurement requirements
• Security assessments
• Customer governance reviews

15. Updates to This Policy

iFieldSmart may update this Responsible AI & AI Usage Policy from time to time to reflect:

• Technology developments
• Operational changes
• Regulatory updates
• Industry standards
• Service enhancements

Material updates may be communicated through the Services, website postings, or other appropriate channels.

Continued use of the Services after updates constitutes acceptance of the revised policy.

16. Contact Information