Harnad AI
·Case 01 of 06

Manual intake and document chasing removed: leads arrive consultation-ready.

End-to-end onboarding for credit repair. An AI intake agent qualifies leads and moves them through documents and payment before a human consultation begins.

Sector

Fintech

Timeline

7 Weeks

Project

Automated Credit Onboarding Platform

A credit consultant on a video call with a client, with onboarding paperwork on the desk

The problem

Every new lead for a credit services firm meant the same manual routine: qualifying questions by phone or email, chasing identity documents, and confirming payment before a consultant could start. Consultants spent part of each day on intake instead of advice, and leads that stalled on paperwork often went cold.

An end-to-end intake and onboarding system that changes how a credit services firm qualifies and converts new clients. An AI pre-qualification agent guides applicants through documentation and payment before any human consultation, so the team’s time goes to advice rather than paperwork.

Credit intake agent dashboard showing the AI conversation, lead score, documents checklist and IdentityIQ connection
Interface illustration with sample data.

What we built

  • 01AI intake agentA conversational agent that asks the qualifying questions, explains the next step, and scores each lead so the team sees who is ready.
  • 02Document collectionA guided checklist for identity and supporting documents, with reminders, so nobody has to chase files by email.
  • 03Payment before consultPayment is taken inside the same flow, so a consultation is only booked once the file is complete.
  • 04Connected credit toolsIntegrations with the tools the team already used, including IdentityIQ, DisputeFox and NotaryFox, so data is not re-typed between systems.

Technology

  • Next.js
  • Vertex AI
  • GCP
  • PostgreSQL
  • IdentityIQ

Methods

  • API Integration
  • Agent Orchestration
  • Secure Data Pipelines
AI AgentsOnboardingIntegrationsVertex AI

How it works

A new lead starts a conversation on the website. The agent asks about their goals, runs the qualifying questions, and shows a short checklist of the documents it needs. The lead uploads them, pays, and books a consultation. By the time a consultant joins, the file, the lead summary, and the payment status are already in place.

Manual work removed

  • Qualifying calls and emails for every new lead
  • Chasing identity and supporting documents
  • Confirming payment before booking a consultant
  • Re-typing applicant data between credit tools

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