Marg Advisory for Financial Services
Most NBFCs lose qualified leads to slow approval cycles
Appetals builds the operational systems financial services firms run their business on. Marg, a 108-agent AI workforce, reads your filings and signals and a Senior Advisor names the constraint in a free 90-Day Blueprint.
A Senior Advisor reviews every Blueprint
Built decisioning and approval systems for JM Financial. Designed Finqy.ai's agent and product platform spanning insurance, personal loans, home loans, and car loans from enquiry to disbursement. CIO, Sony Music India. CEO, Digital Media Convergence Ltd. (Zee Entertainment). 30 years building operational systems at scale.
Why Appetals
Why Appetals in Financial Services
Appetals builds the operational systems financial services firms run their business on. The team delivered JM Financial's tracking and approval framework for business decisions. They built Finqy. ai's platform managing agents across insurance, personal loans, home loans, and car loans from enquiry to disbursement.
Our Founder & CEO, Ishwar Jha, brings 30 years of operating depth: CIO, Sony Music India. CEO, Digital Media Convergence Ltd. (Zee Entertainment). Marg, a 108-agent AI workforce, runs alongside the team.
Sector diagnoses
Three patterns Marg has surfaced in this sector
Approval cycle length compounding lead decay
Every additional day in the approval cycle reduces conversion probability by a measurable margin. For NBFCs and multi-product lending platforms, the drop-off is steepest between day 3 and day 7 post-application, before a single credit decision is made.
Agent productivity variance hiding inside aggregate numbers
Aggregate disbursement numbers look acceptable when branch-level or agent-level variance is 3x to 5x. The top quartile of agents follows a different sequence at the enquiry-qualification step. The pattern is trainable but it is not visible in aggregate reporting.
Product cross-sell timing misaligned with customer lifecycle
Cross-sell offers sent at the application stage perform significantly worse than the same offers sent at the third repayment milestone. Most fintech platforms send at application because that is when they have attention. The timing is backwards.
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