As a CTO, I care less about an impressive AI demonstration and more about whether the underlying lending system is dependable. Lokta gets that balance right.<br><br>The core LMS provides the operational foundation we expect from a lending system, while the configuration model is detailed enough to support different products and policies. The Loan Product Studio makes configuration decisions explicit and reviewable, which is important when technology, product, operations, and risk teams need to work together.<br>The AI is useful because it operates within the lending workflow and does not try to rewrite the core system of record. For reconciliation it has worked without creating another technical layer for users to manage. Review collected by and hosted on G2.com.

Implementation forces the organisation to confront product rules, legacy data, and edge cases earlier than teams may be accustomed to. Mapping [actual legacy product/data issue] required more discussion and iteration than we initially expected.<br><br>I would welcome additional migration accelerators and pre-built mapping templates. At the same time, I prefer this rigour to a superficial implementation that hides unresolved policy or data problems until production. Review collected by and hosted on G2.com.