50+ enterprise modules. 8 specialized AI agents. Zero hallucination math. Sugam AI uses Generative UI cards and human-in-the-loop approvals to manage leaves, payroll, talent, compliance, and workforce analytics — safely.
8 specialized agents that orchestrate HR operations through Generative UI — not text walls.
Drafts leave requests from natural language, validates against real balance pools, and halts execution with interactive GenUI cards until explicit human confirmation.
GenUI Circuit BreakerRAG-powered semantic search over your HR handbooks. Answers policy questions with real citations and page references — no LLM hallucination.
pgvector + RAG PipelineOnboards legacy CSVs by auto-mapping schemas, masking Indian PII (PAN/Aadhaar), running dry-run validations, and ingesting via Spring Batch.
Agentic CSV Schema MapperComputes tax projections, compares Old vs New regime, and factors 80C/80D/HRA deductions — all using deterministic Java math, zero LLM calculations.
Zero-LLM Deterministic Math
A zero-LLM statistical engine that computes Z-scores (Z > 2.5) to flag unusual expense claims
and sudden payroll spikes automatically.
Embeds resumes into vector space with pgvector cosine similarity. Ranks candidates against job descriptions with explainable AI scores.
Semantic Vector MatchingSynthesizes SMART OKR trees, generates dynamic Knowledge Transfer checklists, and automates multi-department LWD clearance workflows.
Lifecycle OrchestrationGenerates automated CHRO briefings with headcount, payroll burn, attrition rate, and department analytics — regenerate on demand with real data.
AI-Synthesized ReportsReal-time org-wide dashboards with headcount trends, attrition risk prediction, department cost analysis, and diversity metrics — all powered by PostgreSQL aggregations.
Real-Time PostgreSQL AggregationsStandard HR chatbots force users to read long paragraphs of text. Sugam AI's Universal Orchestrator emits structured JSON payloads directly to Next.js, rendering interactive Aceternity UI cards directly on your canvas.
AI agents prepare actions (filing leave, sending emails, approving expenses) but execution halts until you click "Confirm".
By keeping chat history in a sliding 4-message window and using local Java logic, token costs stay under 1,000 per request.
Every vector query and DB operation is hard-bound to
the user's tenant_id via Spring
Security JWT context.
Compare how Sugam AI stacks up against traditional 90s-style HRMS platforms and simple OpenAI wrappers.
| Capability | Legacy HRMS | Generic AI Extensions | Sugam AI Platform |
|---|---|---|---|
| User Interface | Static 90s forms & complex tabs | Text-only chat boxes | Generative UI (GenUI) Cards |
| Data Ingestion | Manual CSV reformatting for days | High LLM token cost per row | Data Alignment Agent + PII Masking |
| Math Accuracy | Hardcoded server formulas | High LLM math hallucination risk | Zero-LLM Deterministic Java/SQL |
| Resume Search | Basic keyword filtering | Sends entire PDFs to LLM | PostgreSQL pgvector Cosine Search |
| Data Isolation | Standard RBAC tables | Potential prompt context leaks | Hardened DB-Level tenant_id |
| Analytics & Reporting | Export to Excel, manual pivot tables | Token-heavy report generation | Real-Time PostgreSQL + AI Summaries |
Watch short <3-minute walkthroughs of our specialized agents and GenUI canvas.
See how the Leave Agent drafts requests from natural language and halts execution with interactive GenUI cards until explicit human confirmation.
Watch the Data Alignment Agent map a legacy CSV, mask PII, and run dry-run validation.
See how PostgreSQL Z-score math flags unusual claims without risking LLM calculation errors.
Old vs New regime comparison with 80C/80D deductions — all deterministic Java math.
pgvector semantic search ranks candidates with explainable AI scores against job descriptions.
Explore the complete visual catalog — from employee profiles and payroll runs to ATS pipelines and multi-tenant administration — all with live screenshots.
Explore Platform CatalogEverything you need to know about Sugam-AI.
Still have questions?
Email us at support@sugam-ai.com or hymavathi.r@sugam-ai.com