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Dresner Advisory releases comprehensive AI research focusing on Agentic AI, ModelOps, and enterprise scaling

Executive summary: Dresner Advisory published a series of five research studies covering AI development platforms, ModelOps, Agentic AI, and enterprise-scale AI implementation. As AI moves from experimentation to production, organizations require standardized operational frameworks (ModelOps) and autonomous capabilities (Agentic AI) to achieve ROI.

Who is involved: Dresner Advisory.

Likely next: Increased adoption of ModelOps software and the integration of agentic workflows into enterprise software suites.

Dresner Advisory has released a pentalogy of research papers aimed at guiding organizations through the complexities of AI implementation. The study emphasizes the shift toward Agentic AI and the critical importance of ModelOps for managing AI development platforms. This release serves as a strategic roadmap for enterprises attempting to transition from experimental AI to scalable, operationalized systems.

What's next — scenarios

Base: Expansion of ModelOps tools (60%)

Increased investment by enterprises into software specialized in managing AI model lifecycles.

Upside: Agentic AI integration surge (25%)

Rapid shift in capital allocation toward autonomous AI agents capable of executing complex business tasks.

Downside: Implementation bottleneck (15%)

Companies struggle with the complexity of the recommended platforms, leading to stalled AI projects.

What to watch

Timeline

Analysis — what this means

Sectors affected

Key entities

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