Summary

This report by Forrester, in collaboration with AIMR, highlights that only 15% of enterprises successfully achieve measurable ROI from AI agent deployments. The remaining 85% struggle to translate AI-generated insights into actionable business outcomes. The report defines the ‘agentic action gap’ and provides a framework for organisations to bridge this divide by reducing friction, accelerating time to action, implementing orchestration, and adopting an agent-centric operating model.

Key claims

  • A significant majority of enterprises (85%) fail to derive tangible business value from their AI agent deployments.
  • The primary challenge is the ‘agentic action gap,’ a structural disconnect between AI-generated insights and actual business actions.
  • Overcoming this gap requires a strategic approach involving measuring friction, reducing time to action, and introducing orchestration.
  • Transitioning to an agent-centric operating model, where agents execute tasks and humans oversee, is crucial for maximising AI agent effectiveness.

Entities mentioned

  • forrester — The source of the ‘Mind The Agentic Action Gap’ report, providing research and definitions on the challenges of AI agent adoption.
  • aimr — Collaborator on the ‘Mind The Agentic Action Gap’ report.
  • nice — Distributor/reprinter of the Forrester report, likely offering solutions related to AI agents and operational efficiency.

Concepts covered

  • agentic_action_gap — Understanding and closing this gap is critical for enterprises to realise the promised ROI from their AI agent investments, moving beyond mere data analysis to automated, value-generating operations.
  • ai_agents — AI agents represent a significant advancement in AI, moving from passive analysis to active execution, promising to automate complex processes and drive new levels of efficiency and productivity.
  • agent_centric_operating_model — This model allows organisations to leverage the speed and scale of AI agents for task execution while optimising human expertise for higher-level cognitive functions, thereby enhancing overall operational effectiveness.

Contradictions or open questions

The report implies that many enterprises are investing heavily in AI agents but failing to see a return, suggesting a potential mismatch between technology capabilities and strategic implementation, rather than a fundamental flaw in AI itself.

Source

aimr_forrester_mind_the_agentic_action_gap_report_.md