Artificial Intelligence (AI) has become integrated into Indian FinTech platforms as a means of automating credit scoring, fraud detection, personalised financial services, and customer support. The Digital Personal Data Protection (DPDP) Act, 2023 has established new regulatory expectations in regard to organisations that process personal data with respect to consent, transparency, data minimization and fiduciary accountability. This paper uses secondary data analysis of content from privacy policies and governance disclosures of a sample of Indian FinTech companies to assess post-DPDP preparation. The study looks at consent practices, AI-based processing, data retention, third party data sharing practices and user rights communication. Results show a wide range of differences in disclosure clarity and governance maturity across platforms, with some firms clearly and proactively responding to regulatory expectations while others struggle with overly broad or vague language that may mean user understanding is limited. This research identifies transparency gaps and draws attention to the need for standardised AI governance disclosures to enable responsible technology use and bolster consumer confidence in digital financial ecosystems.