Jitterbit has announced new AI-powered capabilities for building, integrating, connecting and managing enterprise processes and data workflows. The layered AI approach is designed to help companies unify data silos, manage AI sprawl and simplify vendor overload via a single platform, the company said. Among the offerings are the ability to build agents, use pre-built autonomous agents, and enhanced efficiency and security via a new model context protocol (MCP) client.
“The greatest challenge in AI-driven automation today is not the technology itself, but the sprawl of disconnected tools, agents and vendors that create more chaos than they solve,” said Bill Connor, president and CEO, adding that Jitterbit’s solution is a platform intended to unify “the entire automation lifecycle—from building intelligent apps, connecting them to agents, to exposing them as APIs, and seamlessly integrating it all across the enterprise. Businesses can achieve transformation without getting lost in the complexity.”
The company’s AI-driven approach is intended to make AI automation more practical, effective and aligned with business needs. “We’re pushing the boundaries of what’s possible in enterprise automation,” said Jitterbit CTO Manoj Chaudhary. “Jitterbit is making complex orchestration accessible to everyone and allowing our customers to unlock incredible efficiency across their environments by bridging the gap between siloed data, AI agents and cohesive, automated business processes.”
The innovations allow organizations to build an agent in Jitterbit Studio or source a verified agent from Jitterbit Marketplace. Additionally, they can expose the agent as an API using Jitterbit API Manager, and use the agent in any web, mobile or system application developed with Jitterbit App Builder (using low-code or AI assistant).
“By allowing businesses to embed custom AI agents directly into their applications, we’re providing a powerful way to expand app functionality, increase data-driven value and transform a standard app into a fully featured, AI-powered enterprise experience,” said Chaudhary.
Jitterbit also offers organizations control over their AI strategy by allowing them to connect with any AI model. Integrations are currently available with OpenAI, OpenAI Azure and Amazon Bedrock, with Gemini and Llama coming soon, the company said.
Pre-built, autonomous Jitterbit agents include a Sales Agent that can provide account details, including contact information, location, deal sizes, contract value, account health and other metrics. A Knowledge Agent can also provide employees access to internal knowledge bases, documentation sites, business systems and other repositories. An HR Agent capable of automating HR processes like employee onboarding, role-based training plans, IT support and software and hardware procurement is scheduled to be released during the third quarter.
The new MCP client connects to a variety of systems to help simplify AI integrations. For example, users can leverage the Harmony Platform to build AI agents, connect them to apps, data and LLMs, and then expand their reach with MCP client support to unlock access to any MCP-enabled system or tool, the company said.
The MCP also helps organizations standardize AI policies, allow agents to take designed action across the enterprise stack, and gain flexibility by combining Jitterbit’s pre-built connectors with the freedom to integrate MCP-ready apps and tools, officials said.
To help support the demands of AI at scale, enhancements to the Harmony Platform also include updates to Cloud Datastore to centralize management of integration data; Amazon Bedrock and PGP Connectors; a redesigned canvas in Jitterbit Studio to improve usability; and enhanced observability for private agents to enable faster troubleshooting, the company said.
