02/06/2026
⚠️Is the biggest bottleneck in AI not data… but context?
For years, organisations have been obsessed with becoming “data-ready”. More data, better pipelines, higher quality. But what if that entire premise is flawed?
In this article, Sandro Scordo puts forward a challenging perspective: the real limitation isn’t the amount of data — it’s the absence of a proper context layer that defines what AI systems are allowed to believe and how they should act.
Without it:
✅ Autonomous agents operate on conflicting definitions
✅ Policies sit idle in documents instead of being enforced
✅ Errors don’t just happen — they scale at machine speed
This isn’t an incremental shift. It’s a structural one. We’re moving from managing data to governing decisions in real time.
So the real question is no longer:
“Do we have AI-ready data?”
It’s:
👉 Do we have decision-ready context?
If you’re thinking about scaling AI responsibly, this perspective is worth exploring. Read the full article here:
https://bi4allconsulting.com/en/knowledgecenter/the-real-bottleneck-in-agentic-ai-isnt-data-its-context/