Flexibility, Power and Connectivity: Meet Jitterbit’s Newest Feature Set

By Amber Wolff, Content Manager

AI’s tremendous potential to increase productivity and efficiency has fueled meteoric growth: an estimated 92% of companies plan to increase their AI investments in the next three years.

But despite widespread availability and adoption, many AI projects fail — often due to unrealistic business use cases and poorly defined AI strategy. The resulting gaps between tools, processes and people in turn lead to poor integration, fragmented environments, and AI that creates more complexity than it resolves.

To help bridge these gaps, Jitterbit is introducing a new round of AI capabilities, including prebuilt AI agents, the ability to build more powerful applications with embedded agents, and more. These advancements empower businesses to manage their automation strategies with greater control, security and efficiency — eliminating silos and unlocking the ability to create true end-to-end automation that aligns with actual business needs.

Transform Your Apps with AI Agents that Learn & Adapt

With roughly a third of enterprises actively planning for agentic AI, the benefits of AI agents are quickly shifting from theoretical potential to proven success. To offer our customers another avenue for leveraging this versatile technology, Jitterbit is now empowering organizations to use App Builder to embed AI agents within their custom apps.

While the possibilities unlocked by agent-embedded apps are powerful, the process of creating them is simple:

1. Build an agent in Jitterbit Studio, or source a verified agent from Jitterbit Marketplace.
2. Expose the agent as an API using Jitterbit API Manager.
3. Use low-code or the App Builder AI Assistant to embed the agent in any Jitterbit App Builder application.

These embedded AI agents provide an intuitive and personalized experience to users by offering proactive recommendations, automating tasks based on user behavior and more.

Agents don’t just offer a more dynamic and intelligent experience for users, however: They also offer valuable information for developers. By embedding agents within Jitterbit App Builder apps, organizations can process and analyze user interactions in real time.

This allows businesses to provide immediate, contextual value to users — while at the same time gaining insights into usage patterns, allowing them to refine the app and their business strategies more effectively.

Simplify Your Agentic Transformation with Prebuilt Agents

While some AI strategies call for highly customized agents, others demand maximum implementation speed and simplicity. To give businesses a jumpstart on their agentic deployments, we’re introducing three new prebuilt AI Agents, available in Jitterbit Marketplace:

Best of all, the agents in Jitterbit Marketplace are fully trusted and vetted, offering you the reassurance that agents obtained from Jitterbit meet our high security standards.

Enjoy Greater Flexibility with MCP Client & LLM Connectors

Jitterbit has long been committed to flexibility: We allow users to connect to anything; approach AI at their own pace; and allow even nontechnical and novice users to build, create and manage.

With our newest Jitterbit AI offerings, we’re continuing this commitment into LLM flexibility. For a growing list of the most popular LLMs, connecting couldn’t be simpler: You can now access prebuilt connectors for OpenAI, Azure OpenAI and Amazon Bedrock, with connectors for Gemini and Llama coming soon.

But if you want to use another LLM, Jitterbit offers the flexibility to do that as well. By allowing customers to easily build connections with any AI model using its HTTP connector, we’re offering complete control over AI strategy.

This flexibility offers two huge benefits. First, it keeps businesses from being locked into a single LLM or AI model. Instead of being forced to send sensitive data to a specific AI service, you can choose the models that meet your data residency, privacy and security requirements.

It also future-proofs your AI strategy. By leveraging Jitterbit’s comprehensive connection capabilities, you can adapt and switch to new, more advanced or more cost-effective AI models as soon as they emerge, helping you ensure agility and protect your long-term investments.

Jitterbit’s new MCP (Model Context Protocol) client offers another avenue to increased flexibility. By building native MCP support into our AI agents, these agents can work with any MCP-enabled tool or system.

This helps businesses simplify integrations and reduces costs by allowing a single client to connect with a variety of systems. But it also allows you to standardize integrations, with AI access fully governed by your enterprise policies. Combined with Jitterbit’s governance controls, this lets you know exactly what your AI agents can and can’t do.

Enjoy an Even Better Experience with Product Enhancements

These powerful new capabilities represent just a few of the advances we’re releasing today. To support the demands of AI at scale, we’re also introducing key platform enhancements that offer more control and visibility.

These updates include new Amazon Bedrock and PGP connectors, a redesigned canvas in Jitterbit Studio, enhanced observability for faster troubleshooting of private agents, and more.

We’ve created a comprehensive rundown of these new capabilities in a separate blog post, Introducing New Connectors & Redesigned Studio: Discover the Latest Jitterbit Harmony Enhancements.

We’ve also detailed the features and capabilities of our new Jitterbit Cloud Datastore, which offers a highly integrated and easy to use storage solution within the Harmony platform, in another blog post: Jitterbit Cloud Datastore: A New Way to Manage Integration Data.

We’ll be announcing even more advancements in the coming months as we continue to evolve the Harmony platform. In the meantime, to learn more about all of Jitterbit’s new intelligent automation capabilities, AI assistants and autonomous agents, visit jitterbit.com/AI.