Hybrid Integration with IBM webMethods: Integration for the Age of Agentic AI.
IBM webMethods Hybrid Integration
IBM introducing IBM webMethods Hybrid Integration today at IBM Think 2025, which reimagines integration for the AI era by providing a consistent experience across all integration scenarios.
By combining AI, APIs, applications, events, files, B2B/EDI, and mainframe data all of which are essential to the operation of today’s businesses incredible efficiency may be achieved.
Businesses that can effectively integrate their systems, data, people, and processes will have a true technological edge, even though AI helps them discover new value. Without integration, AI cannot exist, and it was hope to advance significantly for the partners and clients. Mid-June 2025 will be its general release.
A cohesive integration strategy for increased output
Due to a flurry of rapid change, including business imperatives to extract value from AI, the growing proliferation of APIs, Kafka, and integrations, and continuous waves of digital transformation, enterprises today have higher expectations than ever before for their tech stacks. However, the majority of tech stacks are unable to develop into an AI-ready basis for innovation due to the complexity of these demands.
Across on-premises and multicloud environments, IBM webMethods Hybrid Integration offers thorough creation, deployment, management, and monitoring of a variety of integration patterns. It unifies IBM’s highly regarded integration capabilities into a single pane of glass. It connects current investments to next-generation integration technologies by employing IBM Watsonx to use AI agents or accessing mainframe data to accelerate B2B data interchange.
IBM webMethods Hybrid Integration offers centralised control via a hybrid control plane together with common tools and assets to facilitate quick action across dispersed settings. For already overburdened IT teams, it streamlines time-consuming operations and troubleshooting by facilitating centralised management.
Users can have visibility and end-to-end monitoring throughout their integration estate by combining various integration patterns and deployments. Centralising authentication, security, compliance, and governance may help clients boost productivity and build a more robust, adaptable corporation.
Using agentic AI to power all aspects of your company
To view AI as a fundamental change in the way enterprise integration is carried out at every stage of the development lifecycle, not an addition to integration. With the help of agentic AI, this version of IBM webMethods Hybrid Integration improves integration use cases and increases productivity for line-of-business and specialised users. Additionally, by establishing the groundwork for innovations like model context protocol (MCP) and agent control protocol (ACP), it enables enterprises to expedite their AI preparation.
Agent of Integration
The Integration Agent leverages IBM Watsonx-powered AI to automatically integrate language-based SDKs, APIs, and events, increasing productivity. To create, test, implement, and keep an eye on intricate integrations, developers and non-technical users can rely on agentic features.
API Agent
The API Agent can independently plan and carry out API management tasks like these by utilising sophisticated agentic AI.
- Using natural language input to find pre-existing APIs and addressing redundancy to improve development efficiency.
- Using natural language to create API specifications and backend code that supports code-first and design-first methodologies, together with help for error correction and documentation improvement.
- Assisting with API governance by using rulesets to validate specifications and make ensuring APIs comply with policies and best practices.
- API quality can be improved by automatically building and running test cases.
AI Gateway
The AI Gateway helps businesses manage expenses by measuring token usage, establishing quotas to minimize overspend, and caching responses to prevent wasting tokens on repetitive requests. It also gives visibility and control over AI services and provides a single control point for directing Artificial Intelligence(AI) interactions. Your AI journey can be accelerated using the AI Gateway’s features, which include:
- Self-service registration speeds up developer deployment for internal teams using AI APIs.
- Rules for response caching and token-based rate limitation.
- Dashboards that display use for many providers and models.
Quick and flexible B2B partner integration
Because trading partner ecosystems are so important, IBM webMethods Hybrid Integration has strong B2B integration features. Self-serve management and onboarding expedites partner engagement and simplifies interactions in many contexts.
The IBM Sterling B2B Integration VAN lets businesses instantly connect with over 3.1 million trading partners using IBM webMethods Hybrid Integration. This can automate important operations and improve company data interchange. This seeks to establish smooth end-to-end process automation between internal systems and external partners when paired with application integration.
Integrated business agility into the stack
Intelligent, scalable, and dynamic integrations that instantly adjust to changing business requirements will be the foundation of tomorrow’s software stack. To succeed in the “Now Economy,” where companies must respond to real-time data to deliver better customer experiences and streamline operations to beat rivals, event-driven architecture and API-driven automation are essential. Event-driven architecture, a key integration pattern in modern integration techniques, must replace static workflows. This allows for real-time business across both legacy and contemporary systems.
- By allowing events to be found and consumed by any authorized user and managing event sources, such as APIs, to reuse them throughout the organisation, Event Endpoint Management unifies and simplifies integration with events. It works with Kafka Protocol event brokers and implementations.
- Architects may construct flexible, reusable, and scalable integrations by assembling and reconfiguring APIs like building bricks due to API-driven composability. Two fundamental ideas that result in a quicker time to market for business requirements are asset reuse and modularity.
From mainframe to contemporary pricing and packaging, optimizing return on investment
Since its founding, IBM has been dedicated to leading the way in corporate integration, which is constantly changing. It acknowledge the client’s significant investments in mainframes and other technology, as well as the growing demand for contemporary, consumption-based pricing. Ibm continue to build on these investments with the introduction of IBM webMethods Hybrid Integration, working with clients that want to update not just their operational and pricing models but also their technological stacks.
- Unlocking mainframe data and services: IBM webMethods Hybrid Integration is designed to enable integration developers to access mainframe services, allowing them to take use of the amazing value of data held in mainframes.
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- Consumption-based pricing: For increased cost management, IBM webMethods Hybrid Integration gives businesses flexibility with transaction-based consumption pricing. Customers may scale their integration usage up or down according to their actual needs and only pay for what they use to predictable yet flexible pricing.
Getting your AI foundation ready for the future
An important step in enterprise integration is IBM webMethods Hybrid Integration, which provides not just technology but also a tactical edge in negotiating the challenges of contemporary integration, boosting agility, and spurring creativity.
Are you prepared to expand on your current investments, give them a unified, AI-era hybrid integration, and spur new growth? On June 16, 2025, IBM webMethods Hybrid Integration will be generally accessible.
