Put lending context in the conversation.
Ask about the loan, investigate outstanding documents and prepare the next step. urAgent brings AI into the work your team already does—with sources and review close at hand.
UrsaraConnected loan workspaceSummit Ridge Logistics
Loan #SRL-0042 · Bridge loan · Dallas, TX Current
Here are the open items for Summit Ridge Logistics, based on the sample loan record, documents, and activity.
- Draw request · $185,000Pending final inspection report and updated insurance certificate.
- Borrower documentsAn updated rent roll is outstanding. The request is attached to the loan record.
- Investor reportingThe quarterly reporting package is in review. Confirm the underlying loan activity before delivery.
Loan record · Document requests · Servicing activity
Interactive preview · Sample responses · Your team makes the decisions.
Sample workspace · Illustrative data
Ask a useful question.
Then inspect the answer.
A general chatbot starts with what you type. A lending assistant starts with the records your team is permitted to work on. Focus the question on a deal, loan or document and use the answer to guide a review.
“What is outstanding on this deal?”
Bring document requirements and deal context into a focused review. Confirm which items are missing before preparing the request for the borrower or broker.
“What is holding up this draw?”
Use the draw’s status and supporting information to investigate an open item. Review the inspection and budget evidence before making a funding decision.
“Help me prepare the follow-up.”
Turn the reviewed context into a useful draft rather than reconstructing the loan’s history in another tool. The responsible person reviews the communication and decides what to send.
Describe the workflow.
Review the proposed steps.
AI-assisted workflow drafting can turn an operational request into a structured proposal. Review the trigger, conditions and actions before publishing the automation.
For example, start with a missing-document event, identify the appropriate borrower follow-up, and add a task for the deal owner. Your team checks the audience, timing and action before the workflow is live.
Draft · Missing document follow-up
- Trigger: required document missing
- Check the relevant record and conditions
- Prepare a configured communication
- Create follow-up work for the owner
Judgment stays with the people
responsible for the loan.
AI assistance should make the evidence easier to understand. It should also make the boundary between a suggestion and an operational decision clear.
Review the source context
Check the underlying information behind a summary. Treat the answer as support for investigation rather than a substitute for the record.
Work within access controls
The authorized workspace and audience determine what information is available to the workflow.
Keep approval explicit
Credit decisions, draw approvals, payment actions and external communications retain their own review requirements.
Ask the question. Review the evidence.
Natural-language reporting, deal summaries and borrower reporting reviews are distinct AI use cases. Each should keep the relevant source information within reach.
Natural-language portfolio reporting
Ask about a loan, maturity exposure or portfolio risk without starting with a SQL query. Follow the response into the permitted source records and check the definition and reporting period behind the answer.
Deal summaries for credit review
Use document analysis to assemble key terms, missing information and potential risk items from offering materials and underwriting evidence. Review the draft against its sources before including it in a credit memo or investment-committee package.
Covenant and financial-reporting review
Review borrower financials, reported ratios and outstanding covenant information in the loan’s context. Use findings and reporting-date workflows to prepare follow-up; an authorized reviewer confirms any breach and the response.
Prepare the credit review.
Keep the judgment with your team.
Bring the deal, collateral and document evidence into focused AI-assisted underwriting work. The output is a draft your team can challenge, refine and review.
Credit memo sections
Prepare borrower and collateral risk summaries, mitigants and missing-evidence notes from the deal context. Use the draft as a starting point for the credit package.
Conditions and exception rationale
Turn missing evidence into a proposed conditions list and prepare rationale for identified exceptions. Review the supporting information before adopting either into the approval process.
Property research with source context
Organize available valuation estimates, rent and sale comparables, listing history and market context with source links and quality notes. Missing evidence stays visible; research does not replace an appraisal.
AI with a clear role.
Explore the details with our team, using the way your business actually works.
Is the conversation on this page connected to our live data?
No. This website preview uses illustrative data and prepared sample responses. A product demo can show the supported workflows and access boundaries in the application.
Can AI approve credit or release a construction draw?
No. Your authorized team retains credit decisions, draw approvals and funding responsibility. AI helps investigate information and prepare work for review.
Can AI draft automations?
AI-assisted workflow generation can propose structured triggers and actions. Your team reviews the proposal and publishing controls before using it.