Kyndryl, a global IT services provider, launched the Agentic AI Framework on July 18, 2025, in Singapore. The framework is designed to improve business operations by deploying self-learning AI agents.

It helps enterprises scale AI solutions across on-premises, cloud, or hybrid environments.

It features advanced algorithms and a secure design to support complex IT workflows while ensuring human oversight.

The framework has garnered interest from various sectors.

A national government is considering it to enhance public services and compliance. A financial institution is exploring its use for automating compliance and optimizing IT operations.

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🔗 Source: Kyndryl

🧠 Food for thought

1️⃣ Enterprise AI adoption faces a significant trust gap

Kyndryl’s announcement directly addresses the skepticism in AI implementation that continues to limit business impact.

According to Kyndryl’s own research, only 4 in 10 leaders currently use AI-powered insights for decision-making, highlighting the gap between AI’s potential and actual business utilization.

This trust deficit stems from several factors, including AI’s “black box” nature, which makes it difficult for users to understand decision-making processes, as well as concerns about data quality affecting outcomes.

Organizations specifically struggle with integration challenges when implementing AI with existing systems, creating technical barriers to adoption even when leadership is supportive.

Kyndryl’s emphasis on “humans in the loop,” traceability, and “secure-by-design” principles directly addresses these documented trust barriers that have limited enterprise AI deployment.

2️⃣ The unofficial-official AI usage gap creates governance challenges

Research indicates a significant disconnect between sanctioned and unsanctioned AI use in enterprises that Kyndryl aims to resolve.

While only 36% of professionals report using corporate AI capabilities, a much larger 66% admit to using free AI tools like ChatGPT, creating substantial “shadow AI” risks for enterprises.

This unauthorized AI usage creates potential security vulnerabilities and governance challenges, as employees seek productivity gains through consumer tools without proper enterprise controls.

The framework’s focus on enabling deployment “across diverse IT estates” suggests Kyndryl is positioning itself to help companies formalize and govern AI use that’s already occurring unofficially.

With AI capabilities increasingly accessible through open-source platforms and low-barrier tools, enterprise IT leaders face mounting pressure to provide sanctioned alternatives that match the convenience of consumer options while maintaining security standards.

3️⃣ Kyndryl targets differentiation in a competitive enterprise AI landscape

Kyndryl’s framework launch comes amid intense competition in the enterprise AI services space from both specialized consultancies and tech giants.

The company competes with firms like Hexaware Technologies and Onepoint in IT consulting, while also facing pressure from larger players such as Hewlett Packard Enterprise in the infrastructure space.

By emphasizing its infrastructure-level expertise from “thousands of deployments” and experience generating “12 million AI-driven insights monthly,” Kyndryl is attempting to leverage its IBM heritage as a competitive advantage in AI implementation.

This positions the company’s offering distinctly from pure software vendors or consultancies without deep infrastructure expertise, acknowledging that effective AI deployment requires both strategic guidance and technical implementation capabilities.

The announcement represents Kyndryl’s strategic pivot to establish leadership in the growing AI implementation market, where its experience with complex enterprise systems could provide an edge over competitors focused solely on application-level AI.

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