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The New Enterprise Stack: Why Process And Context Must Converge For Agentic AI

Enterprise AI just hit an inflection point. Workflows aren't enough anymore—your stack needs dual architecture.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

As agentic AI matures, enterprise leaders must rethink infrastructure around process-context convergence, not just automation. This shifts how companies architect their AI stacks and allocate engineering resources.

The key facts

10 to know
  1. Article advocates for dual-architecture approach: system of process + system of context

  2. Positions agentic AI as moving beyond simple workflow automation

  3. Strategic framework piece for enterprise AI deployment philosophy

  4. Published in Forbes Tech Council (thought leadership/opinion format)

  5. Argument centers on 'dual architecture' model: system of process + system of context

  6. Positions agentic AI as evolution beyond simple workflow automation

  7. Published on Forbes Tech Council (opinion/thought leadership platform)

  8. Date: June 2026 (future-dated; may indicate predictive or speculative content)

  9. No specific numbers, customer deployments, or benchmarks cited

  10. Targets enterprise architecture decision-makers

Go to the source

Forbes Innovationforbes.com

Publisher excerpt: The next chapter of enterprise AI must move beyond simple workflows and embrace a dual architecture: a system of process and a system of context.
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