Agentic AI
Retire the busywork.
Your BPO. Your overflow vendors. Your underwriting floor. All built on the idea that mortgages need armies of people. That idea is over.
One agent per role. Start where it hurts.
The stack, retiring
Manual pre-qual & intake triage
→
Loan Officer Agent
The document chase, conditions in email
→
Processor Agent
Lending recommendations built by hand
→
Underwriter Agent
Closing packages assembled by hand
→
Closer Agent
10% file sampling
→
QC Agent
Audit prep as investigation
→
Compliance Agent
One role at a time. On your schedule.
The Old Stack Is the Problem
Legacy vs. FundMore
The Catalog
Seven agents. One interface.
Loan Officer / Broker Agent
Quotes, pre-qualifies, pipelines.
Processor Agent
Collects documents, clears conditions.
Underwriter Agent
Calculates income, drafts the lending recommendation.
Closer Agent
Disclosures, conditions, the closing package.
Admin / Manager Agent
Reports, dashboards, capacity planning.
QC Agent
Pre-funding and post-closing QC on every file.
Compliance & Audit Agent
Regulatory checks on every file. Examiner-ready.
Ava — the interface
included
One chat for everything. Ask, review, approve.
How Is This Possible
Agents that show their work.
Not a chatbot pointed at a loan file. A platform built for regulated lending.
Citations, or it didn't happen
Every verdict carries the rule it applied and the data it read. Nothing improvised.
Bounded actions
Agents prepare. Funding, decisions, and borrower contact need a named human approval.
Works with your systems
Connectors for your LOS, core, portals, and email. No rip-and-replace.
Replayable, always
Every action immutably logged. Any file replays step by step for your examiner.
All of it runs on a digital twin of your operation.
The foundation
Agents don't guess. They work from a living model of how you lend.
Your data
Every file and decision in one model — the agents' memory.
Your policies
Your credit policy encoded as the rules agents apply — and cite.
Your systems
Eight years of validated integrations — proven in production.
Deployment
Start with one agent. Retire the rest on your schedule.
Option 1
One agent, your existing stack.
Any agent, your current LOS. Minimal engineering.
Option 2
The full platform.
Seven agents. Ava. FundMore AI. One data model.