On February 21, 2025, IBM launched its AI Integration Services, designed to help businesses transform their end-to-end processes using agentic AI.

IBM Consulting Advantage is a new AI-powered delivery platform that supports the design and deployment of agentic apps through a low code/no-code approach, integrating technologies from IBM, Microsoft, and AWS.

Additionally, IBM Consulting Agents Catalyst facilitates this low code/no-code approach, making it easier for businesses to develop agentic apps.

Pre-built templates for specific industry processes enable IBM consultants to accelerate the transformation of workflows, particularly in areas like customer service and supply chain management.

These solutions are crafted to keep clients at the forefront of AI innovations while maximizing the value derived from their existing technology investments.

IBM is already collaborating with various enterprises, including a global life sciences company, to enhance their processes using agentic AI, particularly in content generation for regulatory submissions.

Agentic AI operates with minimal human intervention, allowing organizations to autonomously evaluate situations, process data, solve problems, and learn from interactions.

The introduction of agentic AI aims to enhance organizational performance beyond simple productivity gains, addressing challenges like fragmented data and outdated legacy systems.

IBM's AI Integration Services include deep expertise in scaling AI, generative AI-powered technology solutions, and a library of pre-built agentic app templates.

The services are built on three main elements: expertise from over 75,000 certified IBM consultants, generative AI solutions via IBM Consulting Advantage, and a suite of pre-built agentic app templates.

A comprehensive re-engineering of business processes is essential, leading to the development of what IBM refers to as 'agentic apps,' which focus on persona-based user experiences, multi-agent orchestration, and optimized data management.

These agentic apps consist of three key layers: enhancing user experiences with tailored AI assistants, orchestrating multiple AI agents for workflow management, and providing organized, real-time data from various enterprise systems.