Coforge Limited has introduced an intent engineering framework designed to help enterprises build agentic AI systems that align with specific business outcomes, governance requirements, and operational realities. The move addresses the growing risk of agent misalignment as organizations shift from AI experimentation to autonomous execution in customer-facing workflows.

The framework provides a structured methodology for defining an agent's purpose, boundaries, success metrics, governance controls, and escalation pathways. Unlike prompt engineering, which influences responses, or context engineering, which improves decision quality, intent engineering ensures agents optimize for the outcomes businesses actually value.

Framework details

Vic Gupta, Executive Vice President at Coforge, stated that while enterprises have invested in teaching AI what to say and know, the harder challenge is deciding what agents should optimize for when objectives conflict or risk increases. The new approach creates a governance structure for these decisions before agents operate autonomously at scale.

Key components of the framework include:

• Outcome-based design principles prioritizing quality and accountability
• Governance controls integrated into the development lifecycle
• Escalation pathways for exceptions and high-risk scenarios
• Success metrics focused on measurable business impact rather than activity volume

Strategic context

The initiative reflects lessons learned from executing enterprise AI programs for clients. Coforge notes that evaluating AI performance by completion speed or productivity metrics alone is insufficient. Instead, the company emphasizes that AI autonomy must translate into lower operating costs, faster cycle times, and sustained margin growth.

The full thought leadership article, titled "The 3 Layers of Enterprise AI: From Prompts to Context to Intent," is available on the company's blog.

Coforge Limited announced the expansion of its Kraków, Poland engineering center into a strategic AI engineering and nearshore delivery hub. The facility now employs more than 375 engineers and is projected to grow to over 660 professionals by 2027.

This expansion marks a shift from supporting a single anchor engagement since its opening in 2025 to serving multiple clients across Europe and globally. The center delivers AI-first engineering, cloud, and modernization services, reflecting strong client demand for specialized talent and proximity-based delivery models.

Strategic focus on AI and nearshore delivery

Located in one of Europe's leading technology hubs, the Kraków center leverages access to a robust pipeline of engineering graduates. This location enables close collaboration with clients across European and UK time zones, addressing the market need for speed and specialized expertise in digital transformation.

John Speight, President & EU Geo Business Leader at Coforge, stated that the investment reflects a long-term commitment to serving clients across the region. He emphasized the company's confidence in local talent to help European enterprises accelerate their AI and modernization initiatives.

Sunil Fernandes, Chief Operating Officer, noted that the rapid scale-up responds to two major market shifts: growing demand for AI-enabled engineering and the need for delivery models combining proximity with specialized talent. He highlighted that hybrid human and agent Mod Squads are accelerating innovation and delivering measurable business outcomes.

Infrastructure and client portfolio

The company has expanded the Kraków facility with more than 20,000 square feet of new workspace and scalable infrastructure to accommodate workforce growth. The center serves a diverse portfolio of clients across sectors including travel, banking, logistics, retail, and enterprise services.

What the numbers show

The data indicates a significant acceleration in operational capacity. The workforce is expected to grow by approximately 76% from current levels to 2027, suggesting a rapid ramp-up phase rather than gradual organic growth. This expansion aligns with the company's strategic pivot toward AI-native engineering services, moving beyond traditional IT support to autonomous enterprise solutions.