Enterprises are pouring significant investments into agentic AI, yet many aren’t seeing the returns they expected. The underlying issue isn’t the technology — it’s the ‘context gap’: AI models lack the enterprise-specific knowledge (customer data, industry processes, internal workflows etc.) needed to deliver real business value.
In a Forbes article, Nachiket Deshpande, the Chief Executive Officer of Impetus Technologies, outlines why agentic AI can deliver real ROI only when models are grounded in business context, not just capability.
Key takeaways
- Enterprise-specific context is critical for agentic AI success: AI must be grounded in company data, processes, and customer context to perform reliably.
- Getting AI into production is not the finish line: Many organizations achieve deployment but fail to translate this into measurable business outcomes.
- Missing context = higher cost: Without the right context foundation, agents iterate more and consume more tokens, impacting costs and scalability.
- Context cannot be an afterthought: It must be engineered into the ecosystem from the beginning – right from the data catalog and semantic layer to governance controls.
Read the full Forbes article here: The Context Gap: Why Your Agentic AI Investment Isn’t Paying Off (Yet)
