Accruent AI Principles

Self-Service & Support

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Self-Service & Support

Looking for self‑service training, best practices, helpful videos, product resources, or support? You’re in the right place.

Accruent AI principles

01. Transparency

To support customers' compliance programs, we are clear about where AI is used in our products. AI feature development is highlighted in our roadmaps and disclosed in customer release notes and user documentation.

02. Control

Customers remain in control of when and how they use our AI features and products. Our customers can enable, disable and scope AI features.

03. Consent

We only use customer data as permitted under our customer agreements. We will only use customer data to train Accruent AI models with permission. Third-party LLM providers are not allowed to use customer data to train or improve their services.

04. Security

Protecting customer data is fundamental to responsible AI development. Our AI systems are developed, operated, and monitored using enterprise-grade software-security controls and sit inside our SOC 2 and ISO-aligned programs.

05. Privacy

AI capabilities are built to protect customer, personal, and confidential information. Each customer's data and prompts are logically segregated, with isolation preserved end-to-end, and we support our customers' compliance with GDPR and applicable privacy and AI laws.

06. Accountability

AI must be used responsibly and perform consistently. Our governance structures and internal controls are designed to help keep us accountable. When we use AI, we ensure that humans remain responsible for important decisions about our business and our products.

Security and privacy at a glance

Security safeguards

SOC 2-aligned controls: encryption in transit and at rest, access management, logging, vulnerability management and incident response.
AI-specific controls: prompt-injection mitigations, output filtering and tenant-level isolation of customer data and prompts.
Agentic AI operates under least-privilege, scoped permissions, with human approval required for consequential actions.
Pre-deployment evaluation and monitoring proportionate to risk.

Privacy safeguards

Personal data is handled under our Privacy Policy and DPA.
Data subject rights, including access, correction, deletion, objection, restriction, portability and rights related to automated decision-making.
DPIA process for deploying AI features involving potential high-risk processing of personal data.
Cross-border transfers covered by EU SCCs, UK IDTA, adequacy decisions or other valid mechanisms.
LLM providers are disclosed as sub-processors and required to comply with applicable privacy laws and standards.

Frequently Asked Questions

Is there AI in the Accruent product that I use?

AI feature development is highlighted in our roadmaps and is disclosed in customer release notes and user documentation.

How can this EMS scheduling software be used in universities?

Customers may enable, disable or scope use of Accruent AI features and functionality and decide whether AI should be applied to their content. If you opt out, the underlying product functionality is unaffected; AI features are additive rather than required for core workflows.

Does Accruent train AI models using customer data?

You control how your data is used. Customer data is never used to train foundational LLMs on public AI platforms. We will only use customer data to train Accruent AI models with permission. The LLM providers we use are not allowed to use your data to improve their services.

What AI models or LLM providers does Accruent use?

Our primary AI is through Microsoft Foundry, via Azure / Microsoft 365 and Microsoft Copilot Studio (which powers Crue, Accruent's AI assistant). Microsoft hosts the underlying language models and handles the orchestration that makes those features work, but Microsoft doesn't use your data to train its own models.

Can other customers access our AI prompts and outputs?

Accruent strictly isolates your data. We keep customers in control so users can only see and interact with files and content they are allowed to access. Your data, prompts and AI outputs are designed to stay within your own environment and are not used in or mixed with other customer data. Once an answer is returned from our AI model provider, the inputs and outputs are deleted from that provider's system.

How do you put guardrails on AI to make sure it's safe?

Accruent evaluates LLMs offered by top-tier AI providers on a trust and safety basis. We only engage with providers that have rigorous controls in place designed to assess and mitigate bias and discriminatory outputs. We also employ internal testing and controls to ensure that our AI meets our high standards of quality and safety.

Does Accruent have an AI governance program?

Yes, our AI governance team regularly reviews legal, regulatory, technical, compliance and security considerations, as well as industry-specific requirements, to ensure our AI governance is designed to meet client needs and in alignment with applicable laws and regulations. Representatives from our security, legal, compliance, product and engineering departments meet regularly to ensure conformance to customer needs and applicable requirements.

How does Accruent ensure compliance with applicable international AI laws?

We uphold our AI governance standards to ensure our AI tools are designed, developed and deployed responsibly and in alignment with the principles of applicable laws and regulations. This includes screening for high-risk and prohibited use cases, as well as offering AI literacy initiatives across the organization.

What about AI governance standards and certifications?

AI tools come with Accruent's existing enterprise-grade security program, plus AI-specific controls layered on top. Our AI governance roadmap includes incorporation of the standards found in ISO 42001 and the National Institute of Standards and Technology AI Risk Management Framework (NIST AI RMF). The underlying Microsoft Foundry models are operated under Microsoft's enterprise security and compliance framework, including SOC 2, ISO 27001 and ISO 42001.

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