CMS

AIthatreads,understands,andanalyseseverycompensationdocument.

CMS uses Azure Vision AI and Google Gemini to extract, classify, and analyse payslips, offer letters, and salary structures at 10x speed — turning manual HR document processing into instant, accurate compensation intelligence.

Azure Vision AIGoogle GeminiLangChainFastAPIPostgreSQLNLP-to-SQL Engine
Document Q&A

Your question

"What is the total CTC for Offer_Letter_V2.pdf?"

AI Answer

Total CTC: ₹18,40,000 p.a. — Basic: ₹7,36,000 · HRA: ₹3,68,000 · Variable: ₹2,20,000 · PF: ₹88,320 · Other allowances: ₹4,27,680. (Source: Offer Letter p.2)

Capabilities

What it does

  • Multi-channel ingestion of PDFs, Word docs, scanned images, and Excel salary sheets
  • Azure Vision AI OCR with high-accuracy field extraction from complex multi-column compensation layouts
  • Google Gemini classifies and maps extracted data to standardised compensation categories
  • Rule-based calculation engine for CTC, deductions, bonuses, tax brackets, and total packages
  • Auto-generate compliant offer letters directly from validated compensation structure data
  • NLP-to-SQL querying — ask salary questions in plain English, get instant database results

CMS

AI that reads, understands, and analyses every compensation document.

Azure Vision AI
Google Gemini
LangChain
FastAPI
PostgreSQL
NLP-to-SQL Engine
How it works

Five steps from input to outcome

1

Step 1

Document Upload

Upload any format — PDFs, Excel files, scanned images, or handwritten documents — via web interface or API.

2

Step 2

AI Reading & Extraction

Azure Vision AI performs OCR and intelligent extraction, identifying document structure, tables, and compensation fields.

3

Step 3

Classification & Analytics

Google Gemini classifies components, understands context, and maps data to standardised compensation categories.

4

Step 4

Component Grouping

Extracted data is grouped by compensation component — base salary, allowances, deductions, bonuses, and benefits.

5

Step 5

Automated Calculations

Rule-based engine processes formulas, validates totals, and flags inconsistencies for review.

6

Step 6

Salary Insights

Real-time compensation analytics, salary band analysis, and actionable insights through an executive dashboard.

Why It Matters

What changes for you

80% reduction in document processing time vs. manual workflows

99.9% extraction accuracy eliminates compliance risk from manual data entry errors

10x throughput — process enterprise-scale document volumes without extra headcount

Centralised compensation repository replaces scattered Excel sheets and email folders

Smarter hiring decisions backed by real-time salary benchmark intelligence

Audit-ready data trail for regulatory and internal compliance reviews

Industries

Enterprise HRBPO / KPOBanking & StaffingStaffing FirmsLarge Corporations

Who Uses It

HR DirectorsCompensation & Benefits ManagersBPO Operations HeadsCFOs
80%

Processing Time Reduction

99.9%

Extraction Accuracy

10x

Throughput vs. Manual

11K+

Active Users

“Processing offer letters and payslips used to require a full team. CMS reads every document in seconds and flags every inconsistency before it becomes a compliance issue.”
Head of HR · Enterprise BPO
FAQ

Questions, answered

PDFs, Word documents, scanned images, handwritten forms, and Excel salary sheets are all supported. Any format used in standard HR and payroll workflows is accepted.

Ready to deploy CMS?

Talk to our team and see this solution running on your data within days.