Fintech · For the executive team

Sanction more. Lose less.

One workspace for loans, agri finance, EMI restructuring, and insurance. The agent reads the file you already hold. A person binds approve, decline, or refer. The file never leaves your company.

Human decision on every case · 2–3 days to a live desk · >90% lower cost than a custom build

Loans · Agri finance · EMI restructuring · Insurance · A person signs the decision

Revenue waits on the file. Loss waits on a guess.

The same evidence is re-keyed for every product. Sanction slows. A missed clause becomes a book you cannot defend.

What it costs you now

Applications sit while officers hunt the PDF. A new product means a new process. The decision lives in a chat, and the audit is rebuilt later. Good files age out. Weak files slip through.

What EazyAI changes

One case holds the evidence. The agent recommends from that file and names the rule. Your officer binds approve, decline, or refer. More applications move. The loss-making ones stop at a person. The trail is already written.

Three steps. Then a signature.

The model does not sanction. It prepares the decision a person can sign.

01Open the case

Loans, agri, EMI, or insurance. The file stays on your network.

02Read the evidence

The agent recommends from the policy and the documents you supplied.

03Bind the decision

Approve, decline, or refer. The report and the audit are ready.

What the buyer gets.

Six outcomes. Each one is a line on the P&L, not a feature list.

Revenue

More files, same desk

Personal, business, home, auto, and microfinance move through one workspace.

Revenue

New products, same control

Agri facilities, EMI restructuring, and insurance sit on the book you already govern.

Margin

A cited recommendation

The answer names the rule. Empty evidence does not invent a sanction.

Risk

A person binds it

Approve, decline, or refer. The model does not release the funds.

Cost

Days, not a build year

Live in 2–3 days. Over 90% lower cost than a custom build. Over 80% faster.

Control

Your file, your walls

On your premises or your private cloud. Your models. Your audit.

Products that move the book.

What you can run on EazyAI. The work, the money, and how it lands.

01
Revenue

The loan desk sanctions the file in front of it

Personal, business, home, auto, and microfinance. The officer needs the rule, the financials, and the collateral — then a decision they can sign.

The drag on revenue

Good applications wait on a PDF. Each product has its own checklist. The desk’s capacity, not demand, sets the sanction rate.

With EazyAI

The case holds the evidence. The agent recommends from your policy and names the clause. The officer binds approve, decline, or refer. More files clear the same team.

How you get there
  1. Open the application. Amount, tenure, and EMI sit on the case.
  2. Evidence is read from the file you uploaded. It stays on your network.
  3. The recommendation is approve, decline, or refer.
  4. A person binds it. The report is the record.
02
Revenue and cost

Agri, EMI, and insurance without a second stack

Crop facilities, restructuring, and sum insured should not mean a new system and a new control gap.

The drag

Side processes are slow to stand up and easy to mis-control. Revenue from a new product arrives late. The cost of a parallel build arrives immediately.

With EazyAI

Agri amount, outstanding EMI, and sum insured are the same kind of case. Same evidence. Same human decision. Same audit. You add a product line without adding a platform.

How you get there
  1. Choose the product: agri, restructure, or insurance.
  2. The agent reads that file against the rules you published.
  3. A person signs. Nothing is released by the model.
  4. The trail matches the loan book the board already trusts.
03
Cost and risk

Diligence and reputation, before the money moves

A deal memo and a reputation check should be finished before sanction, not reconstructed after a loss.

The drag

Financials, contracts, and public facts live in different folders. Review is slow. A weak file is expensive twice: once in time, again in loss.

With EazyAI

The evidence is read once. The memo is drafted from that file. Reputation review sits on the same case. A person binds the call. You spend less on rework and less on surprises.

How you get there
  1. Load the documents for that case.
  2. The agent drafts from what is actually in the file.
  3. Gaps are named. They are not filled in.
  4. The committee signs. The audit shows who did.

Proof, next to the decision.

The room, the film, and the pace. Then book the demo while it is in view.

Executives reviewing a credit file
The decision stays with your officer
Days, not a build year
Animated sequence from ask to sign-off
Ask. Source. Answer. Sign.

Time to a live desk

Custom build
EazyAI
Custom buildEazyAI · 2–3 daysLower means faster

Illustrative. Live in two to three days. Over 90% lower cost. Over 80% faster than a custom build.

Why a board says yes

>90%Lower cost
>80%Faster
HumanBinds the decision

Your models. Your network. The recommendation cites the file.

Book a demo

Lending earns its margin on the file.

Whoever reads the file fastest wins. Three desks on one case model: Underwriting Intelligence, AML Copilot, and Due Diligence.

3Desks on one case modelUnderwriting · AML · Diligence
10Due Diligence domains50+ checklist items
~40%Of origination cost is file assemblyIllustrative
HumanBinds every approve, decline, refer, SARAudit with the decision

A lender’s spread is decided before the money moves: how quickly a complete file reaches an officer, how consistently risk is read, and how many weak files slip past. The agent assembles evidence, scores named dimensions, cites the rule. The officer decides.

Absorbed

Routine work taken over

Assembly, triage, routine scoring.

File assembly and KYC

Documents and bureau pulls land in one case.

AML alert triage

Alerts grouped into cases and ranked by risk.

Retail underwriting analysis

Policy-bound scoring with citations; officer binds.

Amplified

Faster, with a person deciding

Agri, EMI, SAR, collections.

Agri & microfinance

Land, crop, weather, repayment, collateral scored with evidence.

EMI restructuring

Options drafted from policy and ability-to-pay.

SAR narrative drafting

Compliance reviews and files.

Assisted

Judgment stays human

Committee, claims, diligence judgment.

Credit committee

Evidence pack with dissent listed.

Insurance claims assist

Coverage check; adjuster decides.

Cross-domain diligence

Ten domains triangulated for the deal team.

Rollout plan: one desk, then the book.

Start with a single product. Extend to EMI, insurance, AML, and diligence on the same case model.

Months 0–3

One product live

Choose one loan or agri product. Run Intake → Evidence → Analysis → Decision → Report in mock, then live with a human bind.

  • Cycle time
  • Citation rate
  • Officer edit rate
Months 3–9

EMI, insurance, AML

Reuse the case model for restructuring, claims assist, and one AML alert queue.

  • Throughput
  • Alert age
  • SAR draft time
Months 9–15

Diligence domains

Bring Due Diligence across ten domains for the committee.

  • Checklist coverage
  • Conflict flags
  • Committee pack quality
Months 15–24

Book-wide pattern

Same audit trail across desks. New products inherit the bind.

  • Products on case model
  • Exception queue health
  • Audit completeness
Operating proof

An agri and loan desk where the officer binds every decision

Challenge. Agri files arrived as PDFs and photos. Officers spent days assembling evidence. Each product had its own process.

Approach. Underwriting Intelligence with Dual RAG over policy, KYC, and bureau. Named risk dimensions. Officer binds approve, decline, or refer.

Result. Officers started at analysis. Exceptions queued for people. EMI and insurance reused the same stack. See also Underwriting Agent.

Human gate

Zero model-only approvals

The agent prepares the recommendation and the report. A named officer binds the call. Funds are never released by the model.

Book a demo

Before you book.

The questions a credit committee actually asks.

Does the model approve the loan?

No. It recommends approve, decline, or refer from the evidence. A person binds the decision. Funds are not released by the agent.

Which products can sit on the same desk?

Personal, business, home, auto, and microfinance loans. Agri facilities. EMI restructuring. Insurance, including the sum insured. Reputation review before sanction. A diligence memo from the documents on the case.

Where does the customer file live?

On the network you register. On your premises or in your private cloud. EazyAI runs the workspace. It does not warehouse the book.

Can we use our own models?

Yes. Train, prove, and serve on the host you register. The recommendation still has to come from the file, and a person still signs.

What does the audit contain?

The case, the evidence, the recommendation, and who bound the decision. Review reads the log.

How fast is a first desk?

A working path in two to three days. One product first. The same control then covers the next product.

How do we buy?

This is a demo, then a license. Your infrastructure and your model bill stay yours. Pricing for the platform is on the main site. The first step is a demo.

Do our teams need to code?

No. You configure the project, connect the evidence, and name who can decide. The desk is the product.

A case, on screen.

A sample of the credit desk. The file is read, the rule is named, and a person binds the decision.

EazyAI · Credit caseSample
Business loan · evidence in
Amount, tenure, financials, and collateral are on the case.

Cap holds for this product.

Collateral must be registered before drawdown.

Credit policy · §4
Recommend Refer. Two items are still open. Policy §4
Officer binds approve, decline, or refer. Awaiting signatureThe report is the record.

Put one product on the desk.

Book a demo. Live in two to three days. Your file. A person signs.

Book a demo