avexo·credit
AI-native lending infrastructure

Underwrite sharper. Then see everything.

Three layers for lenders. A lead-intelligence layer that fills the top of the funnel, an AI underwriting layer that reads the data your team misses, and an analytics layer of purpose-built agents that answers the questions your leaders actually ask.
Enabling technology. The credit call stays with you.
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The spine

One line runs the whole book. We instrument all of it.

Every lender already runs this funnel. Avexo puts an underwriting layer over the front half and an analytics layer over the whole thing, so nothing goes dark after the loan is booked.

01LeadPre-qualify and route the enquiry
02UnderwriteScore against your policy, with the full data picture
03DisburseDecision and drawdown, with an audit trail
04MonitorTrack the portfolio and lead quality as it moves
05InsightAsk why. Get an answer grounded in your own data
Lead intelligenceSales
A lead-intelligence agent fills the funnel with prospects that fit your policy.
UnderwritingRisk
Reads the full data picture, applies your rules, and decides with a complete trail.
Analytics · agentsStrategy
Purpose-built agents ride the book, so you can interrogate it in plain language.
The AI layer

Purpose-built agents, one job each.

The layer on top is not a dashboard. It is a set of agents, each calibrated for one part of the line and answerable for it.

01
Pre-qualification agent. Reads an enquiry and says whether it is worth a rep's time, before the time is spent.
02
Lead-intelligence agent. Builds the day's list of prospects that fit your policy, with a first-pass product-fit read.
03
Underwriting agent. Assembles the full case, applies your policy, and shows its working on every decision.
04
Portfolio-watch agent. Tracks the book and lead quality, and flags drift before it reaches the numbers.
05
Analyst agent. Answers "why" in plain language, grounded in your own book.
How it lands

Start where it is easiest to say yes.

You do not have to buy the whole platform on day one. Deploy a couple of modules where the pain is loudest, prove it, then expand across the org.

FIRST

Land in sales

A few modules that help reps pre-qualify, match a lead to the right product, and keep lead quality high. Reps are under fire to book, so value shows up in the first week.

THEN

Expand into risk

Turn on the full underwriting engine. Faster, more consistent decisions, your policy unchanged, with a complete audit trail behind every call.

THEN

Go AI-native

Switch on the analytics layer over everything. Now the whole organisation can interrogate its own book in plain language, from approval rates to loss drivers.

Where do you sit?

Pick your seat. See what Avexo does for it.

The same infrastructure looks different depending on the problem you own. Start with yours.

Sales

Book more, book cleaner

Instant pre-qualification, lead-to-product matching, and an agent that keeps lead quality high so reps spend time on deals that close. For the sales floor Risk & Underwriting

Faster decisions, your policy

The full underwriting engine. It reads the data, applies your rules, and shows its working. The credit decision stays with your team. For the risk desk Analytics & Strategy

Ask why. Get the answer

A layer over the live book. "Approvals fell last month, why?" comes back with a grounded answer, not a dashboard you have to read yourself. For the strategy team Executive · CEO / CRO

One toolkit, whole book

The entire line, from lead to disbursal to loss control to insight. One way to take the organisation AI-native without betting the book. For the leadership view

See a real underwriting run and the numbers.

Sample cases and the full proposal are shared privately on request.

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