Mirketa Introduces Enterprise AI Accelerators for Agent Orchestration and MCP Server Frameworks to AI-Enable Legacy Applications

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mirketa

April 13, 2026

Dublin, CA – March 31, 2026 – Mirketa Inc, a Salesforce Crest Partner and global leader in digital transformation and enterprise consulting, today announced the launch of its Enterprise AI Accelerator Framework, a suite of pre-built solutions designed to help organizations rapidly AI-enable their legacy and SaaS applications through advanced agent orchestration and Model Context Protocol (MCP) server architectures.

As enterprises transition from AI experimentation to production-scale deployment, a key barrier continues to be the complexity and cost of integrating AI with existing systems. Mirketa’s accelerator-driven approach addresses this challenge by providing ready-to-deploy architectural frameworks that enable secure, scalable AI adoption without requiring system replacement or heavy reliance on additional third-party platforms.

Mirketa’s accelerators focus on two critical layers of enterprise AI enablement:

Agent Orchestration Frameworks that enable coordinated, multi-agent workflows across business processes
MCP Server Architectures that provide a secure, governed interface between AI models and enterprise data sources

Together, these capabilities allow AI agents to interact intelligently with both modern SaaS platforms and legacy systems while maintaining strict data security, governance, and operational control.

“The market has clearly shifted from pilots to production,” said Ajay Jalali, Vice President at Mirketa. “Enterprises don’t need to replace their systems to adopt AI. They need a robust orchestration and data access layer that integrates seamlessly with what they already have. Our accelerators provide that foundation while also helping organizations optimize cost and maintain control.”

Delivering Measurable Enterprise Value

A key advantage of Mirketa’s approach is its ability to reduce the total cost of AI enablement. By leveraging pre-built orchestration and integration frameworks, enterprises can:

Minimize or avoid additional licensing costs associated with standalone agent orchestration or integration platforms
Accelerate time-to-value through reusable, production-ready components
Reduce implementation complexity and risk with proven architectural patterns
Maintain architectural flexibility by avoiding vendor lock-in to proprietary orchestration layers

Rather than requiring organizations to invest in multiple new platforms, Mirketa’s accelerators are designed to extend existing technology investments, enabling AI capabilities to be layered directly onto current systems and data environments.

Client-Owned IP Model

Mirketa further differentiates its offering through a client-first intellectual property model. While the company utilizes its accelerators to streamline delivery, enterprise clients retain ownership of the underlying intellectual property developed as part of their AI enablement initiatives, ensuring long-term control, flexibility, and independence.

By combining deep expertise in Salesforce, data engineering, and enterprise integration, Mirketa enables organizations across industries, including nonprofit, healthcare, education, manufacturing, and technology, to modernize their application landscape and operationalize AI at scale.

Mirketa’s Enterprise AI Accelerator Framework is already being deployed as part of its AI transformation services, helping clients unlock faster outcomes while building sustainable, future-ready AI ecosystems.

If you are ready to modernize your enterprise applications, you can schedule an AI Readiness Assessment with Mirketa today.

About Mirketa

Mirketa is a global IT consulting and services firm specializing in Salesforce, Oracle, AWS and Azure Clouds, enterprise integration, security monitoring, Site Reliability Engineering (SRE), data engineering, and AI enablement. By building secure, scalable data platforms and intelligent orchestration layers, Mirketa helps organizations modernize their technology landscape and operationalize AI across SaaS, legacy, and cloud environments.