Enterprise AI solution
Leverage AI to unlock the full potential of enterprise content and transform the way you work.
A strong data foundation for your enterprise AI
Effective AI requires a strong data foundation, and Hyland is uniquely positioned to federate and unify your enterprise content across repositories, so it is available for your downstream AI solutions.
Unleashing the hidden value in your unstructured data
With unstructured data unified, Hyland processes and contextualizes it for AI use. Built on an AI-native foundation, enterprise content can scale faster, power AI solutions, and support intelligent automation and AI agents that drive workflows and improve business operations.
Context that evolves with your business
Most AI tools only enrich data at a point in time and can't preserve evolving meaning or relationships as information flows across systems. Hyland's enterprise AI solution connects business and industry context, fueling AI agents that deliver relevant, explainable and adaptable outcomes.
Governance you can scale with confidence
Unpredictable behavior from AI models and inconsistent governance prevent many organizations from scaling AI, especially in regulated industries. Hyland extends proven governance principles from managing business-critical content into AI, enabling you to innovate responsibly with confidence and control.
Ubiquitous enterprise intelligence and automation
Hyland’s scalable multiagent architecture allows customized agents to retrieve data from your fragmented landscape, execute the necessary actions and continuously evaluate the results to determine what needs to happen next.
Build the foundation for your agentic enterprise
Hyland Content Innovation Cloud™ enables you to take your enterprise AI farther with Enterprise Agents
Realize the full power of an agentic enterprise as delivered through the Content Innovation Cloud by customizing and building your own agent meshes for your own bespoke purposes.
Hyland Enterprise Context Engine
Think of the Enterprise Context Engine as your organization’s living memory. It unifies content, processes, applications and people into one adaptive, real-time view that reflects how your business truly operates. This means every decision, automation and insight draws from the full spectrum of enterprise knowledge.
Hyland Enterprise Agent Mesh
Powered by the Enterprise Context Engine, the Enterprise Agent Mesh enables networks of purpose-built, context-aware Enterprise Agents. Each agent orchestrates workflows, learns continuously and solves problems — either independently or as part of coordinated agentic solutions for complex challenges. The result: smarter automation and faster outcomes that scale across your organization.
Implementing and benefiting from AI shouldn’t force enterprises to rebuild themselves. The Enterprise Context Engine and Enterprise Agent Mesh enable AI-native decisioning and automation across existing content and workflows, delivering better decisions and more valuable outcomes — not replacing their teams, but empowering them to do more.
Model flexibility and security
Our LLM-agnostic platform supports models through AWS Bedrock, lets you bring your own model and maintains zero data leakage across models or accounts.
Customizable guardrails
Set and adapt safeguards so AI actions align with business goals and industry standards, including industry-specific terminology where words carry different meanings across sectors. Hyland lets you tune how AI responds and generates information, which drives compliance, reduces risk and supports flexibility across teams.
Scalable human oversight
Scale automation when you want it and apply human oversight where it matters. Hyland lets you set confidence thresholds and build checkpoints into workflows, validating AI outputs across Hyland products like Hyland IDP, Knowledge Enrichment, Knowledge Discovery, Automate and Agent Builder.
Data and AI governance
With a long heritage of managing sensitive data and PII across industries, Hyland extends proven governance principles to AI models through enterprise content management capabilities.
Secure federation and access controls
Connect data repositories to AI-native solutions with protected connections and access controls that safeguard PII and meet industry-specific requirements like HIPAA, FINRA or GDPR.
Privacy and data protection
Your data is isolated in segregated tenants and secured with AES-256 encryption at rest and TLS 1.2 in transit. Hyland does not train AI models using customer data without explicit consent, has opted out of third-party vendor training and never uses insights from customer models in other engagements.
Hyland believes that responsible AI practices aren’t just an add-on — they’re foundational. We’re proud to collaborate on setting a new standard for ethical and fair AI terms that address the core contractual concerns of today’s enterprises.
Key resources
Article
Before you invest in AI, assess your AI-readiness
The promise and potential of AI is something every organization wants to align with, but one big part of its implementation is often overlooked: AI-readiness. Before AI can achieve what you expect it to, your enterprise content must be AI-enabled. Here's the AI-readiness framework to consider.
Article
Your agentic enterprise: The new reality of AI and enterprise content
Two breakthrough innovations radically expand the reality of what ECM means. With Hyland’s bold approach to weaving AI into your content universe, you can move faster than ever and realize incredible outcomes.
Article
Use AI to redefine content management with Hyland
The tools that redefining content management with AI
Hyland IDP
Automate document capture, extraction and classification, so you can significantly reduce manual effort and minimize errors.
Hyland Knowledge Enrichment
Transform unstructured data into structured, AI-ready formats, providing the context needed for AI agents and systems to produce better output.
Hyland Knowledge Discovery
Unlock relevant business insights across multiple content repositories, accelerating decisions and enabling you to validate AI-generated output.
Hyland Agent Builder
Design and manage Enterprise Agents that automate complex workflows and scale workforce efficiency while maintaining human oversight.
Hyland Automate
Streamline workflows with rapid, AI-powered creation and coordination of business process automation, keeping teams agile and responsive.
Explore all Hyland Products
Discover how Hyland’s suite of products can empower your team.
Frequently asked questions
How does enterprise AI differ from standard AI?
Enterprise AI is built for the reality of large organizations where scale, security and trustworthiness matter. Standard AI tools rely on generic public data and provide one size fits all answers. Enterprise AI understands the specific language, rules and content of the organization it serves. It connects to governed data sources, respects permissions, applies organization specific policies and produces outcomes that can be trusted and audited. At Hyland, we design enterprise AI that uses your organization’s own content and context to deliver results that reflect how your business truly operates.
What are use cases for enterprise AI?
Enterprise AI supports a wide range of use cases across industries:
Government: Summarizing contracts and engineering specs for compliance and onboarding
Financial services: Surfacing insights from market data and regulatory filings
Healthcare: Enabling diagnosis and care planning through unified access to clinical records
Insurance: Accelerating claims validation and risk assessment
Higher education: Structuring academic content for research and policy decisions
Commercial enterprises: Empowering sales, support and strategy teams with instant access to product and customer intelligence.
What are effective implementation strategies for enterprise AI?
Successful enterprise AI programs focus on clear objectives, high quality data and strong alignment between business and technology teams. Begin by identifying a real problem that creates measurable value rather than experimenting without direction. Help make sure data is governed, accessible and enriched with the context needed for meaningful answers. Integrate AI into existing workflows so employees see value immediately, not as a separate tool they must learn. Establish clear review and validation processes so outputs can be trusted and improved over time. Finally, start with a scoped use case, deliver results quickly and expand in phases. This approach builds confidence, reduces risk and creates a sustainable foundation for enterprise-wide adoption.
What are examples of contextual insights?
Contextual insights are AI-generated outputs that reflect the relationships, meaning and structure of your enterprise content and industry requirements. Examples include:
Contract summaries that highlight key obligations and risks, with citations linking back to the original clauses
Identification of key entities across product catalogs or patient records, matched to the organization’s vocabulary and data model
Detection of relationships across documents that surface emerging trends, recurring issues or potential compliance risks
Recommendations based on semantic similarity and metadata that surface the most relevant content
What does 'enterprise scale' mean?
Enterprise scale refers to the ability of AI systems to handle vast volumes of diverse content, integrate across multiple repositories and operate within strict governance frameworks. Hyland’s platform delivers enterprise scale by supporting:
Over 600 file formats including multimedia, code and legacy systems
Federated access across departments and platforms
Configurable security, privacy and compliance controls
Flexible deployment options like cloud-native APIs, hybrid environments and on premises SDKs
Does Hyland use customer data to train AI models?
No, your organization’s data is not used to train underlying LLMs or shared outside your environment.
Visit the Hyland Trust Center to learn how Knowledge Discovery uses AI and your data.
How does Hyland keep customer data secure?
Security and governance are foundational to Hyland. We protect all AI interactions with AES-256 encryption at rest and TLS 1.2+ in transit. Access is controlled through role-based permissions, and every action is fully logged for traceability. Configurable guardrails and usage policies help you manage model behavior, ensuring compliance with your organization’s data-protection and governance standards.
For sensitive information such as college transcripts protected by FERPA, Hyland provides robust guardrails to prevent data from being exposed to or retained by AI models.