What is integration?

There are a few integration patterns that allow systems to communicate. An integration pattern is the method of communication the systems use to send data and/or receive data.

1. Migration: Data migration is moving a data set from one system to another. Think of this as a data transfer for a certain point in time, meaning that this exact data set will only be moved once. This occurs commonly when businesses switch from one system to another and the data in the old system needs to moved over.

• Broadcast: A broadcast pattern is often referred to as one-to-many communication when one system sends data across many systems. Broadcast integration involves real-time updates or updates that occur on a regular cadence. This pattern is used to keep information across systems as up-to-date as possible.
• Aggregation: An aggregation integration pattern can be thought of as many-to-one communication between systems. It keeps data from multiple systems in sync and up-to-date within a single system, allowing businesses to merge data and have a singular view of the data from multiple systems on demand.
• Bidirectional sync: Bidirectional sync is when two or more integrated systems communicate back and forth and behave as one system with multiple data sets. This is used for systems that serve their own business purpose but can accomplish even more when connected to related real-time data sets.
• Correlation: A correlation integration pattern is similar to bi-direction sync in that it is placing real-time data in multiple systems, however, it does not replicate data only associates it to similar data. If data exists in two systems, this type of pattern will indicate that, but if the record only exists in one system it will not be created.

In this digital era, it’s important that businesses be properly connected; both from an internal and external standpoint.

From the internal enterprise system integration perspective, business leaders need access to data from across the organization to make informed business decisions. Employees have access to the latest data on-demand and because employees aren’t wasting time aggregating and updating systems manually, they are more productive and perform their tasks more efficiently.

It’s also important that customers can access and request the information they need when they need it. If they do not have a fast, positive experience with a website or an api integration offered by a business, it is unlikely they will be returning customers.

Many businesses choose to integrate their systems in a point-to-point fashion, however, this method causes more harm than good. Point-to-point integration is when each system is connected individually to other systems. This works when there are only a few systems; however, once there are more than three integrated systems, dozens of individual integrations are needed.

With this many single connections, it becomes messy and complicated for IT teams to add, remove, or maintain the web of integrated systems. This slows down the pace of innovation within an enterprise and wastes the IT team's time.

The solution is to integrate these systems by attaching APIs to each application. This allows the applications to send and receive the right set of information needed to take action. These APIs can then talk to one another, thus creating a network of information. This application network allows businesses to unlock data from each of their applications, data, devices, and assets.

Through an application network, these APIs can be reused; speeding up the process of connecting systems and preventing IT teams from creating the same custom connections over and over again. Because an application network is a collection of APIs, they can be grouped by process or experience, so a set of APIs can easily be reused.

To learn more about integration and application networks, download our Value of Integration whitepaper.

The increase in the deployment and use of autonomous AI agents has forced organizations to evolve their approach to integration. While traditional integration focused on connecting applications for human use, the agentic enterprise requires a foundation where agents can independently discover and use business capabilities.

Integration is no longer just about sharing data between systems; it is about providing the necessary context and tools for AI to act on behalf of the business.

For an agent to be effective, it must be able to navigate a vast landscape of internal systems to find the right information or execute a specific task. Without a robust integration strategy, agents remain siloed and limited in their impact. By creating a unified layer of connectivity, organizations ensure that agents can securely access the entirety of the enterprise technology stack.

An agentic enterprise is an organization where AI agents and humans work together to drive productivity and innovation. The key to reaching this state is the ability to transform existing APIs and workflows into agent-ready assets.

When integration is handled through a structured network, agents can automatically identify available services and understand how to interact with them without manual configuration for every new use case.

This shift allows for automated discovery, where agents browse a catalog of enterprise capabilities to find the best tool for a customer request or a business process. For example, an agent could identify a specific shipping API, verify inventory via a database connection, and update a customer record in a CRM all in one seamless flow. This level of autonomy is only possible when integration is treated as a standardized, reusable framework.

As agents take on more complex roles, governance becomes the primary safeguard for the organization. Integration provides the control plane necessary to manage how agents interact with sensitive data and critical systems. By applying consistent security policies across all connection points, businesses can grant agents the freedom to operate while maintaining strict oversight.

The vision for a fully connected enterprise is one where integration acts as the nervous system, allowing AI agents to perceive, reason, and act across any environment. By prioritizing a connectivity-first approach, organizations can move beyond simple automation and build a foundation for a truly intelligent and scalable digital workforce.