01
EXPANDING
Client conversation
Start with the conversation, notes or scenario instead of a blank record.
FOR BROKERS WHO WANT TO SPEND THEIR TIME BROKING
Know if it’ll get throughbefore you lodge.
Clients want a clear answer, not a tour of your tech stack. CreditPolicy.ai brings policy research, supported servicing, client onboarding, document collection, forms and file preparation into one AI-assisted workflow — so you can spend more time broking.
Answer clients sooner. Catch deal-breakers earlier. Stop re-entering the same borrower. Keep the source, assumptions and missing items visible before lodgement.
Honest limits Review stays human Sources stay visible
REALISTIC PRODUCT STORYOne live deal, from first question to broker review.
CreditPolicy · Deal workspaceILLUSTRATIVELIVE DEAL VIEW
See what could stop the file before lodgement.
Income evidence suppliedBoth applicants have supporting documents attached.
Childcare expense unconfirmedResolve before relying on servicing output.
Self-employed treatment needs policy checkLatest-year financials may need lender confirmation.
Your value is the advice, structure and judgement — not hunting through PDFs and retyping facts.CreditPolicy.ai
One connected journeyFollow the work, not a feature menu.
1Onboard client
2Collect docs
3Policy + servicing
4Prepare forms
5Broker review
MEET JACK · THE CREDITPOLICY BROKER
The AI does the groundwork. You stay the broker.
Jack represents the workflow we are building for real brokers: help the client, understand the policy, work through servicing, collect what is missing and move the file forward without losing the human relationship.
Policy AIServicingDocument collectionReady to lodge
CreditPolicy.aiJack helping clients · illustrative CreditPolicy.ai workflow
THE FULL AI BROKER WORKFLOW
One client context. From first conversation to submission prep.
The long-term value is not one clever AI feature. It is removing the repeated searching, extracting, chasing, calculating, drafting and re-keying that sits around the broker’s judgement.
02
EXPANDING
AI client creation + data extraction
Turn authorised notes and supplied information into structured, reviewable client context.
03
IN ACTIVE BUILD
Document portal + collection
Request, collect and organise client documents against the same file, with missing items visible.
04
AVAILABLE / EXPANDING
Lender panel + product research
Research a large and expanding lender panel across multiple product categories from one place.
05
AVAILABLE / EXPANDING
Policy AI
Ask the live scenario, inspect the source and keep uncertainty visible when lender judgement is still required.
06
EXPANDING
Servicing + lender calculations
Work through supported servicing and progressively reuse client data in lender-specific calculator workflows.
07
IN ACTIVE BUILD
AI lender-calculator filling
Use reviewed client facts to help populate supported lender calculators rather than rebuilding the scenario again.
08
EXPANDING
AI document creation
Prepare editable file notes, summaries, briefs and other broker documents from reviewed client context.
09
EXPANDING
AI Form Fill
Map reviewed information into supported forms while keeping unresolved fields and applicant-specific exceptions obvious.
10
IN ACTIVE BUILD
Browser automation + external form filling
Carry reviewed client information into supported external browser workflows and repetitive data-entry steps.
11
IN ACTIVE BUILD
Submission prep + handoff
Bring the reviewed scenario, documents, forms and open questions together for the broker or lender handoff.
What this becomes
More of the broker’s day goes to advice, structuring, clients and lenders — while the repetitive groundwork increasingly runs from the same reviewed client record.
Status varies by workflow, lender, form and account. “In active build” describes product direction under development, not a promise that the feature is already production-ready.
WHAT ACTUALLY EATS A BROKER’S DAY
Win back the work around the advice.
The biggest drag is rarely one giant task. It is the repeated searching, chasing, checking and re-entering that happens between the client conversation and a clean submission.
01 · ANSWER THE CLIENT
THE PROBLEMThe client asks ‘Can we do this?’ and you are suddenly bouncing between policy PDFs, calculators and a BDM just to form the first answer.
Get to the real issue while the client story is still fresh.
Use Policy Chat to research the actual scenario with the source beside the answer, then work through supported residential servicing with the inputs and assumptions visible. If the rule is unclear, the uncertainty stays visible instead of being turned into a fake yes/no.
- Scenario-aware policy research
- Supporting source beside the answer
- Servicing inputs and assumptions remain reviewable
WHAT CHANGESGive the client a clearer next conversation sooner — and know exactly what still needs lender confirmation.
CreditPolicy.ai · ANSWER THE CLIENT
Policy ChatILLUSTRATIVE
Alex Morgan · Fictional scenario
Self-employed borrower. What should I check?
Start with the evidence.
Check the relevant lender’s income requirements, trading history and supporting documents.
Income evidenceIllustrative source
Trading historyIllustrative source
Keep the source with the question.Review the applicable product and policy version.
Research guidance. Not a lender approval.
02 · STOP THE CHASE LOOP
THE PROBLEMA file slows down because documents arrive in pieces, key facts are missing, and the broker or processor only discovers the gap after the next step has already started.
Make onboarding and missing information visible earlier.
Use the client workflow and document collection process to bring supplied information into one client context, structure what can be established, and keep missing or uncertain items obvious for follow-up.
- Client context from supplied information
- Documents stay connected to the file
- Unknowns stay unresolved until confirmed
WHAT CHANGESReduce the back-and-forth that makes clients feel the process is disorganised and pushes the deal into another day.
CreditPolicy.ai · STOP THE CHASE LOOP
Client AIILLUSTRATIVE
AM
Alex MorganFictional client · draft profile
ReviewEmploymentSelf-employed
Loan purposeHome purchase
ApplicantIndividual
SourceSupplied notes
Client notes.pdfSource document · example
Income information.pdfSupporting information · exampleIncome
Income figures still need checking against the evidence.
03 · REMOVE THE REBUILDING
THE PROBLEMYou have already checked the borrower — then the form, file note, submission prep and external portal ask for the same information again.
Reuse reviewed facts instead of rebuilding the deal five times.
Carry reviewed client information into supported Form Fill and AI Document Studio workflows, and use supported browser automation where available for repetitive external data-entry steps.
- Supported forms use reviewed context
- Editable AI document drafts
- Supported browser workflows reduce repetitive entry
WHAT CHANGESKeep more of your day for strategy, client conversations and lender negotiation instead of clerical re-entry.
CreditPolicy.ai · REMOVE THE REBUILDING
AI Document StudioILLUSTRATIVE
File noteDraft
YOUR BRAND
CLIENT FILE NOTE
A clearer story.A better-prepared file.
Alex Morgan · Fictional example
Purpose of enquiry
The applicant is exploring a home purchase. Employment is recorded as self-employed in the supplied notes.
Information to confirm
Income evidence, existing liabilities and the details required for the selected lender.
Draft for broker review
WHY THIS MATTERS
The broker outcome is not ‘more AI’. It is a better client experience and more capacity for actual broking.
Use AI for the repetitive groundwork while keeping advice, lender selection and final review with the broker.
Give clearer answers without disappearing into your tech stack.
Bring policy, servicing and missing-information checks closer to the client conversation.
Find the weak point before it becomes rework.
Keep policy caveats, assumptions and incomplete inputs visible before lodgement.
Stop spending broker hours on processor-style re-entry.
Reuse reviewed client context across forms, notes and supported external workflows.
Avoid stitching together a different AI tool for every task.
Keep research and file preparation around the same client and scenario.
“The broker should be the person solving the deal — not the person copying the deal from one system into the next.
Useful because the limits stay visible.CreditPolicy.ai assists with research and preparation. It does not make a lender credit decision or replace broker review.
Information access is deliberate.Use only client information you are authorised to process and verify extracted or generated content before relying on it.
QUESTIONS BEFORE YOU DECIDE
Does this solve a problem worth paying for?
The buying question is simple: will this help you answer clients, catch issues and prepare files with less admin — without taking the judgement away from you?
Will this actually help me respond to clients faster?
That is the job it is designed to help with: reduce the time spent switching between policy sources, servicing, client information and file-preparation tools. Actual time saved varies by scenario and workflow, and broker review still comes first.
Can CreditPolicy.ai help with client onboarding and document collection too?
Supported client and document workflows can bring supplied information into the same client context used for later preparation. Missing or uncertain information should stay visible for follow-up rather than being guessed.
Does this replace my BDM or my own judgement?
No. Use Policy Chat and servicing to narrow the issue and understand the supporting material. Unclear policy, exceptions, advice, suitability and lender judgement still need the appropriate human decision.
Can it help with forms, documents and browser admin after I have worked out the deal?
Supported Form Fill and AI Document Studio workflows can reuse reviewed client context, and supported browser workflows may assist with repetitive external entry where available. Coverage varies, so check the specific workflow before relying on it.
Is this another CRM I have to move everything into?
No. The proposition is an AI research and preparation layer around the client file. Keep your systems of record, lodgement and compliance processes; connect only the parts that are supported and useful.
START WITH ONE REAL FILE
Bring your next live deal into CreditPolicy.ai.
Start with the client and the question you are trying to answer. Let AI do more of the searching and preparation; keep the judgement and final review with you.