Hyland believes AI should deliver trust, transparency and real business value. With our enterprise AI solution, we make it a reality.
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.
With unstructured data unified, Hyland processes it and makes it usable for AI. With AI-ready enterprise content, you can scale faster, power your AI solutions, and use intelligent automation and AI agents to drive workflows that enhance your business operations.
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.
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.
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.
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.
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 — organizing AI-ready data into structured models that reflect how your business truly operates. This means every decision, automation and insight draws from the full spectrum of enterprise knowledge.
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.
— Michael Campbell, Chief Product Officer, Hyland
Our LLM-agnostic platform supports models through AWS Bedrock, lets you bring your own model and maintains zero data leakage across models or accounts.
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.
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.
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.
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.
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.
— Abby Moskovitz, Chief Legal Officer, Hyland
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.
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.
The tools that redefining content management with 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.
Enterprise AI supports a wide range of use cases across industries:
Contextual insights are AI-generated outputs that reflect the relationships, meaning and structure of your enterprise content and industry requirements. Examples include:
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:
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.
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.
