GoKawiilReport: Most enterprises still piloting AI, lack 'context layer' for agents
A new survey finds 38% of companies are still piloting AI use cases and 35% use it mainly to assist employee work, while only 12% have AI agents in production and 3% use AI to drive most of a key process. Atlan co-founder Prukalpa Sankar says the gap stems from a missing 'context layer'—infrastructure that translates business systems and data into governed, machine-usable context for AI tools.
GoKawiil's interpretation of the reporting above, not reported fact.
The findings suggest that model capability alone isn't translating into enterprise impact, which could redirect investment toward data and integration infrastructure rather than just more powerful models. Sankar's framing implies vendors like Atlan may see a market opportunity in building this missing middle layer between corporate data and AI systems. The analysis also hints that governance and context, not raw intelligence, may be the real bottleneck to AI adoption at scale.
- Only 12% of enterprises currently run AI agents in production, per the survey.
- Atlan's Sankar attributes limited AI usefulness to a lack of enterprise 'context,' not model capability.
- A proposed 'context layer' would connect business systems and data to AI platforms to make AI more effective.
Source: technologyreview.com — Mit Technology Review Insights, 2026-10-28
Published there as: “Creating AI value with enterprise context”
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