SF Consultoría Fiscal: automation and AI streamlining collections

SF Consultoría Fiscal, led by its CEO Ricardo Jáuregui, faced a common challenge for scaling businesses: operational processes were not growing at the same pace as the business. Manual management, long turnaround times, and a lack of visibility into key indicators were starting to limit its potential.

The most urgent problem was in its lending operation: the collections process was broken. Recovery times were stretching alarmingly, and much of the team was dedicated to repetitive follow-up tasks — calls, emails, messages — without better results. On top of that, there was a growing need to protect sensitive user data in an increasingly digital environment.

It all started with an automated collections chatbot, designed by iNBest to contact clients at exactly the right moment, remind them of payment dates, and follow up with no human intervention. The solution integrated naturally into existing workflows, with a minimal adoption curve.

What began as a one-off solution evolved into a strategic alliance: automation of operational processes across multiple areas, artificial intelligence for financial analysis — in minutes, AI can determine whether a business is profitable, when it will break even, or how much liquidity runway remains —, corporate AI applied to regulatory compliance, and a cybersecurity strategy to protect sensitive data and guarantee 24/7 availability in its Fintech services.

For SF Consultoría Fiscal, AI is not a trend: it is a tool that already operates with business sense, trained on the company's own information and applied to profitability, policy generation, and matters as sensitive as anti-money-laundering regulation.