Deal capture
Stop rebuilding the same file
Capture borrower, entity, security, financial, purpose, and timing details once so the broker, analyst, support team, and client work from the same live record.
For brokers
Save the admin drag. Recommend lenders with more confidence.
Financial Edge helps brokers turn messy commercial intake into a structured record, verify the document set, compare lender pathways, and generate lender-ready outputs without rebuilding the file at every step.
Lender-fit analysisDocument intelligenceReusable lender packs
Broker workflow
Capture
Borrower, entity, security, funding, and document context.
Recommend
Suitable lender pathways with policy, servicing, and readiness context.
Package
Summaries, credit notes, lender packs, and client next actions.
How we help
Built around the broker's actual operating problem
Commercial brokers do not just need another CRM field. They need a structured way to remove duplicated effort, test the right lender path, and produce cleaner outputs under time pressure.
Lender fit
Make lender recommendations easier
Use structured deal inputs, appetite signals, servicing visibility, and policy-aware checks to recommend suitable lender pathways with less guesswork.
Submission readiness
Package files with less admin energy
Move from verified data into summaries, document checklists, credit memos, lender packs, and client-facing next actions without manually rebuilding the file.
Saved effort
Hours of low-value work become a shorter review loop
Financial Edge is built to reduce the manual energy brokers spend chasing documents, rekeying details, rewriting credit notes, and checking lender suitability from scratch.
Less document chasing
Client tasks, upload status, missing evidence, and review flags stay visible instead of being managed across inboxes and spreadsheets.
Less rekeying and rewriting
The same verified record can feed application summaries, credit-paper drafts, proposal content, and lender-ready pack material.
Less time wasted on the wrong lender
Lender recommendations are based on the actual deal structure, document quality, servicing position, policy fit, and exception path.
More energy for client and lender work
Brokers can focus on strategy, relationships, and deal movement instead of repeatedly cleaning the same file by hand.
Broker capabilities
What brokers can use in the platform
The broker workflow combines structured capture, source checks, decision support, output generation, and reporting so the file can move with less rework.
Structured commercial deal capture for borrowers, entities, security, purpose, timing, and requested funding
Document intelligence for bank statements, tax material, ID, trust/company documents, security evidence, and missing-item visibility
Lender recommendation logic across appetite, policy constraints, asset class, leverage, servicing pressure, and exception pathways
Application summaries, credit memo outputs, lender pack preparation, and reusable submission narratives
Compliance and verification signals that keep source gaps, anomalies, consent, and open review items visible
Pipeline and workflow reporting for deal status, task ownership, handoffs, lender movement, and settlement outcomes
Workflow
From first conversation to submission-ready file
Financial Edge keeps the same record active from enquiry through analysis, recommendation, packaging, lender engagement, and post-outcome learning.
Intake
Capture the live scenario, borrower structure, entities, security, documents, and deal pressure in one place.
Review
Use document checks, source signals, servicing context, and lender recommendation logic to identify gaps before the file moves.
Recommend
Shortlist lender pathways with clearer reasons, policy context, and readiness signals attached to the file.
Package
Generate broker-readable summaries, credit notes, lender packs, and client next steps from the same verified record.
Expected outcomes
What should feel faster and cleaner in a broker pilot
The pilot should be judged against practical workflow outcomes: less repeated handling, clearer file readiness, more explainable lender pathways, and faster preparation of broker and lender-facing outputs.
Repeated intake becomes one live record
Borrower, entity, security, funding, servicing, and document context stays connected instead of being rekeyed across notes, emails, spreadsheets, and lender pack drafts.
Document chasing becomes visible next actions
Missing evidence, upload status, review flags, and source gaps can sit against the file so the broker and support team know what must be fixed before lender discussion.
Lender shortlisting becomes easier to explain
Recommendations can carry the reasons behind the pathway, including policy fit, servicing pressure, LVR, asset class, borrower profile, document quality, and exception context.
Submission prep becomes a shorter review loop
The same verified record can support the deal summary, credit note, lender pack, client next steps, and internal review without rewriting the same story from scratch.
Implementation
A guided beta pilot, not a loose free trial
The cleanest pilot structure is a small, guided workflow test over a defined period. Start with selected files, run the core workflow, review the outputs, then decide whether paid access makes sense.
01
Demo and pilot fit
Confirm the broker workflow, team size, file types, current admin pain, and whether the pilot should use mock data, recent files, or selected live opportunities.
02
Select 3-5 files
Choose a small set of commercial scenarios that show real complexity: borrower structure, security, document gaps, servicing pressure, or lender-fit uncertainty.
03
Set up users and records
Create broker, support, and review access, then load the borrower, entity, security, funding, and document context needed to test the workflow.
04
Run review and recommendation
Use the platform to surface missing items, review flags, lender-fit signals, servicing context, and the recommended pathway for each pilot file.
05
Generate outputs
Turn the record into broker-readable summaries, credit-note content, lender-pack material, client next actions, and internal handoff notes.
06
Review results
Compare the workflow against the team's current process, identify time saved and quality gains, then decide whether to continue into paid access.
Product evidence
Real workflow examples, shown with mock data
Financial Edge is designed to turn captured data, document checks, lender recommendation logic, and deal narrative into outputs that save broker effort and give lenders cleaner decision-support inputs. These examples use mock borrower data and a generic bank lender.
Application summary
A mock commercial refinance file showing borrower context, lender recommendation, risk cues, document readiness, and next actions in one readable output.
Credit memo output
A mock credit output that turns captured and verified information into a cleaner decision-support pack for broker review, lender triage, and submission.
Time saved
Reduce repeated intake, document chasing, rekeying, and credit-note drafting on each application.
Recommendation quality
Show why a lender pathway fits the borrower, structure, servicing position, policy context, and document set.
Lender readiness
Make missing evidence, anomalies, exceptions, and review status visible before the file reaches assessment.
Broker FAQ
Questions a broker team may ask before joining the beta
These answers are designed to reduce uncertainty before a demo or access request, while keeping pricing and commercial terms in the normal pricing conversation.
Is the pilot a 30-day free trial?
No. It is better treated as a guided beta pilot, not a generic free trial. The aim is to test a small number of real or mock commercial files with onboarding, feedback, and clear success criteria.
Can we start with mock data?
Yes. Mock files are useful for the first walkthrough, especially before sharing client information. Live or recent files can be introduced once the workflow and access settings are clear.
Does Financial Edge replace our CRM?
No. Financial Edge is designed as a commercial finance operating layer for deal capture, document intelligence, lender-fit analysis, and submission outputs. A CRM can still manage relationship history and pipeline activity.
Does the platform make the credit decision?
No. Financial Edge supports broker analysis, lender recommendation context, document readiness, and submission preparation. Human judgement remains responsible for advice, lender selection, and final decisions.
What does a broker team need for a pilot?
A small set of representative files, a clear owner, access for the broker and support users involved, and willingness to compare the platform workflow against the current manual process.
What happens after the pilot?
The team reviews workflow fit, time saved, submission quality, and implementation needs. If the pilot is useful, the next step is paid access aligned to the team size and operating model.
Broker access
Run complex deals through a cleaner operating layer
Use the access workflow if your team wants to run a guided beta pilot across selected commercial files, test lender recommendation visibility, review document intelligence, and compare reusable outputs against the current manual process.