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Coforge introduces intent engineering framework to help enterprises build agentic AI systems
Oct-05-2026

Coforge has 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. Intent engineering bridges that gap and is rapidly becoming a critical requirement for enterprise-scale AI adoption.

The company’s intent engineering framework provides a structured approach for defining an agent's purpose, boundaries, success metrics, governance controls, and escalation pathways. The framework reflects lessons learned from real-world expertise gained from executing enterprise AI programs for clients. Rather than evaluating AI agent performance by completion, speed, or productivity metrics, the company’s intent engineering approach introduces outcome-based design principles that prioritize governance, quality, accountability, and business impact, ensuring that AI autonomy translates into measurable value rather than simply increased activity.

Coforge (Formerly known as NIIT Technologies) is a leading global IT solutions organization, enabling its clients to transform at intersect of unparalleled domain expertise and emerging technologies to achieve real-world business impact.

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