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Credible: Lender Autopilot

Success Story

Autopilot: Automated Lender Integrations

Onboarding reduced from 3 days to under 2 minutes, with 5-star customer ratings.

Days → minutes

loan process reduced from days to 1–2 minutes.

Exclusive lender access

partnerships with non-API lenders unlocked new offers and revenue.

Technologies

Headless Chrome

Ruby

Ruby on Rails

Custom Admin UI

Expertise

Integrations

Automation

Backend engineering

Security

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Manual onboarding

Borrowers spent hours navigating lender websites, filling forms, and uploading documents manually, which led to high abandonment rates.

High customer drop-offs

Disjointed flows caused confusion, leading many users to exit before completing the process.

Limited integrations

Without APIs, the marketplace couldn’t onboard new lenders efficiently, slowing growth and leaving valuable loan offers unavailable.

Missed opportunities

Strong loan products remained underutilized, reducing the marketplace’s ability to maximize customer value and conversions.

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Fintech domain experience

Zoolatech brought a strong record in building secure, compliant solutions for lending and financial services, giving the client confidence in meeting regulatory and data-protection requirements.

Non-API integration expertise

Unlike other providers limited to API-first solutions, Zoolatech demonstrated the ability to integrate non-API systems through advanced automation, unlocking lender partnerships that competitors could not.

Zoolatech is a senior-heavy engineering firm with Silicon Valley roots and a Miami HQ, specializing in legacy modernization, system re-architecture, and AI deployment to drive long-term, compounding value.

2017

Year Founded

600+

Employees

96%

Client Satisfaction

Phase 1

Discovery and feasibility

Assessed non-API lender platforms, identified integration pain points, and mapped borrower journeys.

Phase 2

Automation build

Developed Autopilot using Selenium and Ruby on Rails to replicate borrower actions in real time within a headless browser.

Phase 3

Monitoring layer

Implemented an admin interface with screenshots and alerts to detect issues early and prevent user impact.

Phase 4

Back-office enablement

Introduced manual override workflows so staff could step in if lenders deployed anti-bot defenses or unexpected UI changes.

Phase 5

Continuous improvement

Established coordination with lender partners to anticipate site updates and keep Autopilot functional despite frequent changes.

In digital lending, speed and consistency define the user experience. Automating manual, multi-step workflows removes friction, reduces drop-offs, and enables borrowers to access better financial options with far less effort.

Web scraping service

The Autopilot runs headless browser sessions that complete every step of a borrower’s application, eliminating friction and delivering end-to-end loan processing inside the marketplace.

Admin interface

Centralized monitoring with alerts and visual step-by-step logs, enabling teams to trace errors quickly and keep the borrower journey stable.

Support tools

Manual fallback processes for back-office teams ensured continuity when automation encountered blockers, protecting conversion rates.

Option	Risk	Mitigation
Lender site changes could break flows	Partner site modifications could disrupt automated borrower journeys.	Proactive monitoring, screenshot tracking, and early coordination with lenders allowed quick updates before production impact.
Anti-bot measures blocked automation	Security defenses such as CAPTCHA and anti-bot tools occasionally interrupt automation.	Fallback workflows and direct collaboration with lenders maintained continuity even under strict controls.
Sensitive borrower credentials handling	Processing user credentials introduced potential exposure of highly sensitive data.	Marketplace maintained fintech-grade security protocols, including encryption, semiannual audits, and external penetration testing.