Tackle Enterprise AI’s Hardest Question At Forrester’s AI Forums

2026-06-18 · Source: Featured Blogs - Forrester · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Corporate Strategy & Leadership, Robotics & Autonomous Systems · Depth: Intermediate, short

Summary

Forrester's AI Forums, scheduled for August 20 in Singapore and August 25 in Sydney, aim to help organizations translate AI investments into tangible business outcomes. These forums will feature four distinct tracks for B2B, CX, security, and technology leaders, addressing the widening gap between AI experimentation and execution. The technology track, led by Leslie Joseph, Sam Higgins, and Charlie Dai, will focus on architecting context and intent, exploring why task-level AI productivity often fails to compound into firm-level business value. Key discussions include Forrester's cognitive operating model for organizational reinvention, the concept of "skills" as the atomic unit of value in agentic architectures, and the critical role of context engineering—using semantic layers, knowledge graphs, and governance frameworks—to prevent issues like context rot and hallucinations. The event concludes with a workshop on applying AI-driven work modes to real processes.

Key takeaway

For CTOs, CIOs, and enterprise architects struggling to scale AI beyond pilots, you must shift from use-case-driven approaches to a skills-oriented agentic architecture. Focus on establishing a cognitive operating model and robust context engineering, including semantic layers and knowledge graphs, to ensure your AI agents access reliable information. This strategic pivot is crucial for translating task-level AI productivity into measurable firm-level business value and mitigating compliance risks.

Key insights

Enterprise AI success requires a cognitive operating model, skills-oriented architecture, and robust context engineering to deliver business value.

Principles

• Focus on skills, not use cases, as the atomic unit of value.
• Agentic AI requires trustworthy organizational context.
• Enterprise operating models need reinvention for AI.

Method

The forum proposes applying four modes of AI-driven work (augmentation, automation, enrichment, reinvention) to real processes to connect AI initiatives to business outcomes.

In practice

• Establish shared language for human and AI capabilities.
• Manage AI skills as reusable products.
• Implement semantic layers and knowledge graphs.

Topics

• Enterprise AI
• Cognitive Operating Model
• Agentic Architecture
• Context Engineering
• Knowledge Graphs
• AI Governance

Best for: AI Architect, CTO, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by Featured Blogs - Forrester.