The AI feature your PM wants to ship, and the conformity assessment standing in the way

The EU AI Act introduces a concept that most Indian product teams have not previously had to think about. The conformity assessment.

Before a high risk AI system can be placed on the European market, its provider must complete an assessment demonstrating that the system meets the Act's technical and governance requirements. The assessment must be documented and supported by technical evidence. In limited circumstances, it may involve a notified third party.

For many Indian SaaS companies, the first encounter with this requirement will not come from a regulator. It will come from a European enterprise client asking for evidence of compliance before enabling a feature. Or from a procurement team questioning whether a proposed solution falls within the scope of the Act. Or from contract negotiations where AI obligations suddenly appear in the redlines.

Conformity is not a legal opinion. It is a technical and operational state that must be designed, documented and maintained.

Which features trigger the requirement

The Act identifies certain use cases as high risk under Annex III. AI used in employment and worker management, including candidate screening, ranking and performance assessment, is explicitly covered. Certain uses in creditworthiness assessment and access to financial services are high risk. Educational assessment, management of critical infrastructure and biometric identification are also included.

Indian SaaS companies operating in HR tech, fintech, edtech and healthtech may find that features viewed internally as standard functionality fall within these categories.

The classification depends on the use case, not the sophistication of the model. A rules based scoring system may be high risk. A large language model used to generate marketing copy may not be.

What a conformity assessment requires

For high risk AI systems, providers must maintain technical documentation describing the intended purpose of the system, its design, performance characteristics, data governance arrangements and human oversight mechanisms. They must establish processes for post market monitoring and incident reporting. Depending on the use case, deployers may also be required to perform a fundamental rights impact assessment.

None of these requirements can be assembled quickly if the underlying engineering and governance processes do not exist.

Documentation can be written. Human oversight mechanisms must be designed. Bias testing must actually be performed. Incident reporting must connect to operational processes that work in practice.

The conformity assessment reflects the state of the system. It cannot be separated from the way the system has been built and operated.

Building compliance into the product roadmap

The most efficient approach for Indian SaaS companies is to incorporate conformity requirements into product development rather than treating compliance as a post launch exercise.

That means identifying potentially high risk features during design, incorporating governance requirements into engineering specifications and embedding documentation practices into the development workflow.

Waiting until a customer asks for evidence of compliance is expensive. By that stage, architecture, controls and documentation requirements may already require significant rework.