Coforge introduces intent engineering framework for optimizing AI agents

Coforge introduced its intent engineering framework, a practical design methodology that helps enterprises build agentic AI systems aligned to business outcomes, governance requirements, and operational realities.

As enterprises move autonomous AI agents into customer-facing and operational workflows, the consequences of misaligned decisions become increasingly significant. While prompt engineering influences responses and context engineering improves decision quality, neither guarantees that agents optimize for the outcomes businesses actually value. Coforge believes that intent engineering bridges that gap and is rapidly becoming a critical requirement for enterprise-scale AI adoption.