Scaling AI agents with trustworthy data
Most agent deployments fail silently on data quality, not model capability.
Why it matters
As organizations scale agentic AI beyond pilots, trustworthy data infrastructure emerges as the overlooked blocker—more critical than model choice to ROI. This is a foundational engineering story for practitioners deploying agents at scale.
The key facts
7 to knowOrganizations rapidly adopting agents but struggling with ROI realization
Data quality and infrastructure identified as primary constraint on agent scaling
Published August 2026 — reflects current market friction in agent deployments
Organizations rapidly adopting agents
Data quality and infrastructure identified as ROI blocker
Inadequate infrastructure cited as common constraint
Focus on trustworthy data as prerequisite for agent scaling
Go to the source
MIT Technology Review AItechnologyreview.com
Publisher excerpt: Business and technology leaders need no convincing that the time of agentic AI is here. Organizations are rapidly adopting agents, and few executives doubt the technology’s potential to transform work. But many organizations find that realizing the desired return on investment (ROI) from AI hinges…