Sphere Partners
BankingFinance

Loan underwriting. Reviewed against policy, not guessed.

Reviews every loan file against underwriting policy and credit guidelines, calculates exceptions, and generates the risk memo — before it reaches a credit committee. Built for lenders processing hundreds of loan files a month.

16 cited fields per file. Built on Sphere AI Foundry.

loan_underwriting — file #LN-61042LIVE
00:00Ingest → borrower application + financials, file #LN-61042read
00:03DTI check → debt-to-income 38%, within policypassed
00:06Collateral check → LTV 82%, exceeds 80% policy thresholdflagged
00:08Credit history → 2 late payments in 24 months, within tolerancepassed
00:09Disposition → Route to underwriter, 1 exceptionrouted
review time 10sfields cited 16/16underwriter sign-off required

Organizations around the world trust us

ideel
JFrog
Clearcover
91 Seconds
PHC
NextCapital
DigitalOcean
Enova
bp
Groupon
CreditNinja
Navy Pier
DoorDash
Gett
Experify
ideel
JFrog
Clearcover
91 Seconds
PHC
NextCapital
DigitalOcean
Enova
bp
Groupon
CreditNinja
Navy Pier
DoorDash
Gett
Experify
Built on Sphere AI Foundry·Policy-matched by design·21 years, 300+ clients

Manual underwriting doesn't scale with loan volume

A single loan file review means an underwriter checking income, debt ratios, collateral value, and credit history against the bank's underwriting policy line by line, then writing up any exceptions for committee. At low volume that's manageable. Across hundreds of files a month, it's the reason approvals queue up and inconsistent exception-handling creates real credit risk.

85%
faster first-pass file review vs. manual underwriting
16
fields extracted & cited per file
100%
of exceptions traceable to the specific policy threshold

File in, cited memo out

Four steps, every one logged and citable back to the underwriting policy.

01
Ingest

Reads the loan file directly from your systems

Application, income documentation, credit report, and collateral appraisal — read from your loan origination system or document repository. No separate upload step.

Source document
LN-61042 — borrower application
02
Match against policy

Every ratio checked against underwriting policy

Debt-to-income, loan-to-value, and credit history — each checked against the specific policy threshold in effect, not a generic guideline.

Example query
"Does the loan-to-value ratio meet the policy threshold for this loan type?"
03
Cite every exception

No exception without a citation

Each exception links back to the exact policy section and threshold — the citation travels with the finding, not as a separate lookup.

Cited finding
Loan-to-value ratio of 82% exceeds the 80% policy threshold for this property type.
cited to Underwriting Policy §5.2, LTV threshold
04
Classify & route

One disposition, one consolidated risk memo

The agent returns Approve, Approve-with-exception, or Decline, with a consolidated exception list routed to the underwriter for sign-off before committee.

Disposition
ApproveApprove-with-exception ✓Decline

16 fields, every one cited

What the agent extracts from every file it reviews.

Underwriting summary & disposition
Borrower & income verification
Debt-to-income calculation
Loan-to-value & collateral check
Credit history & score review
Policy exception list with citations
Prior loan history with this borrower
Stipulation & condition checklist
Consolidated risk memo
Underwriter review checklist

Typical inputs

What the agent reads, and what it connects to.

Documents

  • Loan application and income documentation
  • Credit report
  • Collateral appraisal or valuation
  • Bank's underwriting policy and credit guidelines

Systems

  • Loan origination system (LOS)
  • Credit bureau integration
  • Document repository or imaging system

Is this the right fit?

Built for volume — not a one-off loan.

✓ Works best for

  • Lenders processing 100+ loan files a month
  • Institutions standardizing underwriting against a fixed policy
  • Credit risk wanting every exception traceable to policy

Too small for

  • A single VIP loan an underwriter can review faster than configuring the match
  • Replacing underwriter judgment on a final approve/decline decision
  • Loan types with no codified underwriting policy to check against

Grounded in policy, not a black box

Compliance-first, the same standard every Sphere agent is held to.

The agent requires the complete loan file and current underwriting policy before it will return a disposition, and every review sits between application and committee — never past it. An underwriter confirms every exception before a file reaches committee.

Exceptions reference the specific policy section and threshold directly — the same audit-trail standard every Sphere agent on the Foundry is held to.

Prerequisites complete file

The complete loan file and current underwriting policy are required before a disposition is returned.

Human review required

An underwriter confirms every exception before a file reaches committee — never fully autonomous.

Regulatory grounding policy-cited

Exceptions reference the specific policy section and threshold directly in every review.

Foundation Sphere AI Foundry

Access controls and audit trail configured here carry forward to every other agent you deploy.

Frequently asked

Does the Loan Underwriting & Risk Review Agent replace an underwriter?

No. It replaces the manual line-by-line check against underwriting policy. An underwriter still confirms every exception and signs off before a file reaches committee.

What loan types does it support?

Consumer, mortgage, and commercial loans out of the box. Additional loan types and policy sets can be added during onboarding.

How does it integrate with our loan origination system?

It reads directly from your LOS or document repository — no separate upload step required. Integration scope is confirmed during deployment planning.

Is every exception traceable to the underwriting policy?

Yes. Every exception cites the specific policy section and threshold it came from — there is no finding without a citation back to the policy.

How is this different from a generic loan origination system?

It's built specifically around matching a file against your underwriting policy and generating a cited risk memo, not managing the loan pipeline end to end. It runs on Sphere AI Foundry, so the access controls and audit trail configured here carry forward to other agents you deploy.

Hear from

our clients
Lee Ebreo

Lee Ebreo

VP of Engineering at Credit Ninja

These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.

Selah Ben-Haim

Selah Ben-Haim

VP of Engineering at Prominence Advisors

Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).

Ben Crawford

Ben Crawford

Senior Product Manager at Enova Financial

I would expect to be delighted. It's been a really positive experience, working with Sphere, and I would expect you to have the same.

Mark Friedgan

Mark Friedgan

CEO at CreditNinja

Sphere consistently prioritizes the needs of their clients, demonstrating both agility and teamwork. As an offshore team, they have been an integral part of our organization and we plan to continue growing with them.

René Pfitzner

René Pfitzner

Co-Founder at Experify

Sphere provided excellent full-stack development manpower to augment our team and help push our product forward. They are easy to work with, tech-savvy and proactive.

Bruce Burdick

Bruce Burdick

Chief Information Officer at Integra Credit

We've been working with Sphere and its excellent consultants since our founding. I've found that they are true partners in the success of our business.

Jemal Swoboda

Jemal Swoboda

CEO at Dabble

The resources and developers that Sphere Software provides are skilled and have the required technical expertise, but more importantly, they have helped us build a culture of excellence within our team.

Arthur Tretyak

Arthur Tretyak

Founder and CEO at IntegraCredit

With Sphere, we were able to migrate in half the time it would take to train an additional FTE… and for a fraction of the cost. Our experience with Sphere has been exceptional.

Lee Ebreo

Lee Ebreo

VP of Engineering at Credit Ninja

These things would not have been achievable if we did not build our own in-house system and if we did not partner with Sphere to help us achieve our goals.

Selah Ben-Haim

Selah Ben-Haim

VP of Engineering at Prominence Advisors

Our experience with Sphere and their team has been and continues to be fantastic. We keep throwing new projects at them, and they keep knocking them out of the park (including the rescue of a project that was previously bungled by another vendor).

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Global Recognition Awards 2026

GLOBAL RECOGNITION AWARDS 2026

Best in AI for Documentation Validation 2026

BEST IN AI FOR DOCUMENTATION VALIDATION 2026

Best in AI Powered Invoice Auditing 2026

BEST IN AI POWERED INVOICE AUDITING 2026

Global Tech Award Winner 2026

GLOBAL TECH WINNER 2026

Most Innovative Technology Consulting Firm 2026

MOST INNOVATIVE TECHNOLOGY CONSULTING FIRM 2026

Global Generative AI Award 2026 Winner

GLOBAL GENERATIVE AI AWARD 2026 WINNER

Start here

See it on your own loan files

Bring three real loan files to the demo. We'll show the underwriting review live — exceptions, citations, and the risk memo, on your own documents.

Looking for a different workflow? Browse the full Agent Catalog.

Talk to a solutions architect

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