Salesforce MVP Hall of Fame · Salesforce consulting partner since 2010

Loan documents into the loan file

Your credit team stops re-typing regional-language documents. Sarvam Vision reads each page, rules check the arithmetic, and a person approves any field the model is unsure of before it touches the loan file.

Get the written assessment

Salesforce consulting partner since 2010 · MVP Hall of Fame · 200+ agents in production · UAE, India and US desks

All 40 use cases
  1. 01Models · Claude, Gemini, OpenAI, Bedrock
  2. 02Agents · Agentforce, CrewAI, ADK, A2A
  3. 03Memory · Neo4j, Cognee, RAG
  4. 04Identity · IndyKite, SSO, entitlements
  5. 05Governance · policy, audit, human override

The job

Who it is for, and what Salesforce gets.

The decision

One example, drawn.

Which fields on this page belong on the loan application, and which ones does a person need to check?

Loan documents into the loan file

A two-page Marathi salary slip, scanned on a phone, with a handwritten employer stamp.

Employer
Read, confidence 0.97
Net monthly pay
Read, confidence 0.94, matches bank credit
Pay month
Read, confidence 0.91
Employee name
Read, confidence 0.82, queued: differs from applicant spelling

Illustrative. Written to Salesforce.

  • Write to the loan file
  • Queue for a reviewer
  • Wrong document
  • Possible tampering

The stack

How we would assemble it.

The honest no: Sarvam has no Arabic, cannot voice Urdu, and runs in India by default. If the job needs any of those, we say so before the build.

Before go-live

What has to be true.

A field under 0.90 confidence goes to a person. Nothing posts to the loan file unreviewed in the first month.

The evidence

What the evidence says

Vendor capability

Sarvam's Doc Agents lists bank and credit-card statements, KYC forms, land deeds and handwritten pages among supported documents, in 22 Indian languages plus English.

docs.sarvam.ai/docai/getting-started/overview

Ten pages per job on Sarvam's workbench. Long statements need splitting. Check accuracy on your own scans before you trust a threshold.

The brief

Name the call your team makes in the wrong language.

We read the process and write down where Sarvam fits, where it does not, and what Salesforce has to hold before anything goes live.

Where are you?

Salesforce consulting partner since 2010 · MVP Hall of Fame · 200+ agents in production · UAE, India and US desks

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