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Sonata Software Unveils AgentBridge for Managing AI Agents with A2A and MCP Support
Sonata Software Unveils AgentBridge for Managing AI Agents with A2A and MCP Support
Agent Orange 2.0

Sonata Software Unveils AgentBridge for Managing AI Agents with A2A and MCP Support

The platform supports LLMs and SLMs from hyperscalers and niche vendors with domain-specific models.

Published Updated

Key takeaways

  • Launch AgentBridge to transform enterprise AI deployment with centralized management of intelligent agents.
  • Support LLMs and SLMs, addressing fragmented tools and inconsistent automation efforts.
  • Implement Agent-to-Agent (A2A) and Model Context Protocol (MCP) for efficient AI workflows.
  • Achieve significant reductions in processing time, potentially between 50-90% in industries like insurance.
  • Target 20% AI-led revenue growth within three years, up from 4% currently.
5 min

Sonata Software has launched AgentBridge, a managed services platform aimed at transforming enterprise AI deployment. 

Developed by Sonata’s AI experts, AgentBridge enables businesses to design, deploy, and govern intelligent agents at scale through a centralised platform.

The solution addresses widespread issues faced by enterprises—such as fragmented AI tools, siloed systems, and inconsistent automation efforts—by offering a unified orchestration layer for managing AI workflows. 

The platform is built to support core agent logic with configurable workflows supporting model context protocol (MCP) and Google’s recently launched Agent-to-Agent (A2A) protocol.

With built-in guardrails, compliance features, and secure access controls, AgentBridge ensures enterprise-grade governance while accelerating automation efforts. “While financial operations have led to early adoption, we believe AgentBridge will significantly impact generative AI adoption across sectors,” Manu Swami, SVP and head of technology, said during the press briefing.

Swami gave an example of the insurance industry, that what typically involves four to five manual touchpoints—filling out forms, credit validations, underwriting—can now be handled through a single chatbot interface. “We anticipate 50–90% reductions in processing time depending on the loan type,” he added. 

AgentBridge has been in beta with several clients and the team has been working on agentic AI solutions for the last six months.

“AgentBridge is a core driver of our AI pipeline. AI currently accounts for 4% of our revenue, and we’re targeting 20% AI-led revenue within three years,” Swami added.

The platform includes an Agent Marketplace for publishing and managing reusable agents, a visual drag-and-drop Agent Builder, and support for multi-agent workflows and system integrations. 

Users can access hosted or private models across multi-cloud environments, while built-in dashboards offer real-time observability and ROI tracking.

“AgentBridge directly addresses the industry’s growing need for scalable, secure, and compliant AI deployment,” said Rajsekhar Datta Roy, CTO of Sonata Software. “It empowers enterprises to drive adoption with governance and observability, enabling real efficiencies, new revenue streams, and next-level automation.”

Sharmila Sherikar, Head of Corporate Development at Sonata Software, noted, “AI agents are fast becoming strategic assets in the enterprise. AgentBridge is a game-changer—driving automation in customer experience, supply chain, compliance, and more. It represents Sonata’s commitment to shaping the future of enterprise AI through agentic collaboration and modernisation.”

AgentBridge is part of Sonata’s broader Harmoni.ai portfolio, which focuses on responsible and scalable AI solutions. 

The platform supports LLMs and SLMs from hyperscalers and niche vendors with domain-specific models. “While we haven’t built our own LLMs yet, that’s on the maturity roadmap,” Swami added.

Sherikar added that Sonata Software plans to deploy AgentBridge internally as well. This will streamline operations and improve employee experience.

The company does not expect any job cuts because of AI. “Instead, we expect roles to evolve, enabling our workforce to take on more value-added tasks,” Sherikar added. 

“97% of our workforce is already trained in GenAI, and we’re actively training them on agentic workflows. This platform will help us meet market demands more effectively,” she added.

During the Q4 FY25 earnings call, Sonata Software CEO Samir Dhir showcased the firm’s high confidence in generative AI services. The company is pursuing a $34 million pipeline in AI programs with over 100 clients. 

In April, Sonata Software secured a $73 million AI led modernisation deal for a major US-based firm in the TMT sector. 

Dhir said that AI adoption in software development is still in early stages—limited to testing and tools like GitHub Copilot. But Sonata expects it to deepen in the next 6 to 12 months, which might possibly affect the offerings of the firm to its clients.

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