AI transformation for Banks & Financial Institutions

Building AI Workforcefor Lenders

AI agents, Decision Science models, and Workflow Automation, deployed across your lending lifecycle with measurable portfolio impact.

Industry Engagement

CredFlow
Centrum
Remit2Any
Supermoney
CredFlow
Centrum
Remit2Any
Supermoney

Platform Capabilities

Built for end-to-end BFSI Operations

Deep System Integration

Works with LOS, LMS, CRM, and core banking systems

AI Decision Engine

Credit risk, fraud detection, and real-time underwriting

End-to-End execution

From acquisition to collections without manual workflows

Overview of approach

AI infrastructure for modern lenders

LendingIQ doesn't sell software. We build AI agents that plug into your existing stack - your LOS, servicing platforms, and policy corpus - and operate them so your teams stay focused on decisions, not data wrangling.

01 - Audit

AI-Opportunity Audit

We map your stack, gaps, and highest-impact opportunities before writing a single line of agent logic. We run a structured AI audit across your origination, underwriting, servicing, and collections workflows - identifying where time is lost, where decisions are inconsistent, and where agents will move your KPIs fastest.

  • -Process and workflow mapping across all lending stages
  • -Data source and integration readiness assessment
  • -Prioritised agent roadmap ranked by ROI and complexity
  • -Governance and compliance risk review built in
app.lendingiq.ai / audit

AI-Opportunity Audit

Origination Optimised
Underwriting Gap Found
Servicing Review
Collections Gap Found
Underwriting Agent
High
Collections Agent
Med
Servicing Agent
Med

02 - Pilot

Building AI Agents & Testing

We build AI Agents and test them on your real data before full deployment. Every agent runs on a sandboxed subset of your actual loan files and workflows. You see real outputs, real accuracy, and real edge cases before a single agent touches production.

  • -Agents tested against your live data and policy corpus
  • -Side-by-side comparison of agent vs current process output
  • -Accuracy, latency, and exception rate benchmarked
  • -Feedback loops tuned before go-live - no surprises
app.lendingiq.ai / pilot

Running agents on your data...

Sandboxed against live loan files

Agents loaded against your policy corpus
Side-by-side output comparison ready
Benchmarking accuracy & latency
Tuning feedback loops before go-live

03 - Implement

Deploy AI Agents in Production

We deploy AI Agents into production and integrate them directly with your LOS, LMS, bureau APIs, document storage, and communication channels. No new platform to learn, no data migration - agents operate inside the workflows your teams already use.

  • -Pre-built connectors for major LOS and LMS platforms
  • -API-first integration with bureau, GST, and bank statement providers
  • -Agents surface outputs in your existing UI - not a separate tool
  • -Full audit trail and governance controls from day one
Agent Integration - Stack Connectors

Agent Name

Underwriting Co-Pilot

Capabilities

doc_analysisrisk_scorebureau_pulldecisioning

Active Connectors

L
LOS Platform (Finflux)Connected
B
Bureau APIs (CIBIL, Experian)Connected
U
Existing UI (surfacing outputs)Active
A
Audit Trail & GovernanceActive

04 - Maintain

We operate the AI Agents so your team focuses on decisions

LendingIQ monitors agent performance continuously - accuracy, latency, exception rates, and policy drift. When your products, policies, or regulations change, we update the agents. You get outcomes, not infrastructure to babysit.

  • -Real-time performance monitoring across all deployed agents
  • -Policy and product updates reflected in agents within 48 hours
  • -Monthly performance reviews with KPI impact reporting
  • -SLA-backed uptime and exception escalation protocols
LendingIQ - Agent Performance Monitor

Real-time monitoring across all deployed agents. Policy updates reflected within 48 hours.

Accuracy

98.4%

Uptime

99.97%

Exceptions

0.3%

All agents within SLA. No escalations in the last 24 hours.
Policy update detected - agent refresh scheduled within 48 hours.
Monthly KPI report ready: Underwriting TAT reduced by 62%.

Frequently asked questions

Straight answers on AI strategy, timelines, contracts, and how we work with US lenders.

How long before I see results?

Most clients see measurable throughput improvement within 2 weeks of their first agent going live.

How do you measure success?

We co-define metrics up front. Examples include cycle time, touch-per-file, straight-through processing rate, rework rate, SLA adherence, and borrower satisfaction where applicable. Dashboards compare pre- and post-agent cohorts so finance and operations can see impact.

What industries do you specialize in?

We exclusively work with lending and financial services companies. We serve mortgage, consumer, auto, HELOC, and commercial lending companies. Our agents are trained on lending workflows, credit policy, and regulatory frameworks specific to this industry.

What exactly is a “Lending AI agent” in your model?

An agent is a purpose-built workflow + model stack that performs a defined job inside your lending operation - for example intake triage, stipulation follow-up, underwriting support, or servicing correspondence. It connects to your systems, follows your policies, and leaves a clear audit trail. It is not a generic chatbot bolted onto your website.

View all FAQs — pricing, security, integrations, compliance, and more.