Conversational AI Engine

Ask Anything.
Get Sourced Answers.

Turn your loan portfolio into a queryable knowledge base. Ask in plain English, get instant, cited answers from your documents and data, with a page-level citation on every extracted figure.

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LenderBox AI
Live
What's the weighted avg DSCR across our multifamily portfolio?
✓ 1.34x across 12 deals totaling $287M
Source: Q3 2025 Portfolio Report, Page 4
The Problem

The Answers Are in Your Data. Finding Them Shouldn't Take Hours.

Loan committees ask questions. Portfolio reviews need answers. Today, that means digging through files, spreadsheets, and systems to assemble information that already exists in your institution. The data is there, it just isn't accessible when decisions are being made.

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How It Works

From Question to Cited Answer in Seconds

1

Ask Any Question

Type your question in plain English: portfolio metrics, deal details, policy lookups, covenant history, market comps.

2

AI Searches Your Data

LenderBox searches across every deal, document, memo, and portfolio record simultaneously, grounded only in your institution's data.

3

Get Sourced Answers

Receive precise answers with exact citations: document name, page number, data point. If it isn't in your data, LenderBox says so.

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Capabilities

Intelligence at Your Fingertips

Four ways LenderBox turns your loan portfolio into a searchable, auditable knowledge base your committee and your examiner can trust.

Cross-Deal Search

Search every deal in your portfolio simultaneously. Find patterns, comparisons, and precedents across hundreds of loans in seconds.

Portfolio Queries

Ask complex portfolio-level questions like weighted-average DSCR or concentration by property type and get aggregated answers with full source trails.

Grounded in Your Data

Every answer is grounded in your actual documents and data. If the information isn't in your institution's records, LenderBox tells you rather than guessing.

Source Citations

Every fact includes exact citations: document name, page number, and confidence score. Committee-ready. Examiner-ready.

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The Difference Conversational AI Makes

From Hours of Digging to Instant Cited Answers

Before

Committee Questions30+ Minutes
Data SourcesMultiple Systems
AnalysisManual Assembly
ConfidenceHope You Found It

After

Committee QuestionsInstant Answers
Data SourcesUnified Search
AnalysisEvery Fact Cited
ConfidenceAlways Current
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Community banks, credit unions and CRE private credit teams run LenderBox beside the loan systems they already have.

Accuracy
Cited to the Page
Transparency
Source Citations
Scope
Cross-Deal Search
Interface
Plain English
FAQ

Frequently Asked Questions

What is LenderBox Conversational AI?

Conversational AI turns your loan portfolio into a queryable knowledge base. Your team asks questions in plain English, portfolio metrics, deal details, policy lookups, covenant history, market comps, risk ratings, and LenderBox returns precise answers in seconds with exact source citations (document name, page number, confidence score) on every fact, pulled from your own documents and data. If the answer is not in your data, LenderBox says so. Built on a SOC 2 Type II attested platform, used by both community and regional banks and CRE private credit teams.

How does LenderBox prevent hallucinations?

Every answer is grounded in your institution's actual documents and data. LenderBox is not a general-purpose chatbot; it only answers from what exists in your deal files, portfolio records, and policy manuals. If the information isn't there, LenderBox says so rather than inventing an answer. Every fact includes the document name, page number, and confidence score so your team and your examiner can verify every claim.

What kinds of questions can we ask?

Anything that lives in your data: deal-level questions like DSCR on a specific loan, cross-deal searches like every loan with a maturity in Q2 2026, portfolio-level aggregates like weighted-average LTV by property type, policy lookups like exception history on recourse covenants, and market context pulled from Market Intelligence. If the answer is derivable from your documents or data, LenderBox can surface it with citations.

Is my data private and secure?

Yes. LenderBox is SOC 2 Type II attested. Your deal data and documents live in your isolated tenant, are never used to train shared models, and are never commingled with other customers' data. For banks, Conversational AI is designed to meet OCC third-party risk management expectations and examiner standards for data handling. For private credit funds, it meets the due diligence and audit trail standards institutional LPs expect.

How does Conversational AI integrate with the rest of the platform?

Conversational AI queries across every engine on the LenderBox platform: Document Intelligence for data points extracted from deal files, Policy Intelligence for credit policy and exception history, Portfolio Intelligence for loan-book analytics, Market Intelligence for comps and submarket data, and Risk Assessment for five-dimensional risk scoring. One question, one cited answer, across your entire lending operation.

Who uses Conversational AI on our team?

Credit analysts use it to pull specific data points for memos without hunting through files. Chief credit officers and portfolio managers use it for committee prep and concentration reporting. CROs and audit teams use it for examiner requests and regulatory inquiries. Originators and private credit deal leads use it for cross-deal benchmarking. The interface is plain English, so anyone on your team can ask; the answers are cited, so your governance stays intact.

How much does Conversational AI cost and how fast can we go live?

Pricing has three parts: a one-time data activation, a monthly platform fee credited toward usage, and per-deal processing. Conversational AI is included with the LenderBox platform, so every analyst, credit officer, and executive on your team can ask questions. Most institutions go live in three to four weeks. Onboarding includes indexing your deal files, portfolio data, and credit policy so the engine has the full context of your institution on day one. Pricing scales with portfolio size and document volume, book a demo for a scoped quote.

How is Conversational AI different from ChatGPT, Claude, or a generic enterprise chatbot?

General-purpose chatbots like ChatGPT or Claude are trained on the open internet and will answer from the web, from memory, or from general patterns. They have no access to your deal files, no knowledge of your credit policy, and no accountability when they guess. Enterprise chatbot platforms like Glean or generic RAG setups can index your documents but are not built for CRE lending, so they miss the domain context and produce answers your credit committee cannot defend. LenderBox Conversational AI only answers from your institution's actual documents, portfolio data, and policy manuals, returns a "not in your data" response rather than inventing one when the information is missing, and is the only engine that queries across Document Intelligence, Policy Intelligence, Portfolio Intelligence, Market Intelligence, and Risk Assessment on the same SOC 2 Type II platform, so every answer is cited, auditable, and examiner-ready.

Ask Your Data Anything

See how LenderBox turns your loan portfolio into a searchable, cited knowledge base your committee and your examiner can both rely on.

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