Flagship Differentiator

AI That Your HR Team Will Actually Use on Monday Morning

We didn't add AI to DuoHR. We built DuoHR so AI could work inside HR properly. Tenant context, role context, audit logging, graceful fallback, and human controls keep assistance aligned with the HRMS instead of sitting beside it.

Domain Assistance
People, time, payroll, setup
HRMS Tools
Real product workflows
Right-Sized Reasoning
Simple checks stay fast
Governed Assistance
Human stays in control

Everyone Offers “AI-Powered HR”. Here's Why Most of It Doesn't Work.

Side by side. No hand-waving.

Buyer-safe AI

Common market claim

A chatbot that answers FAQs from a help article

DuoHR approach

Role-aware HR assistance that understands the tenant, module, policy context, and current workflow.

Buyer-safe AI

Common market claim

Static AI reports with pre-built filters

DuoHR approach

Natural-language analytics that can guide users from question to insight to drill-down action.

Buyer-safe AI

Common market claim

Generic alerts with one-size-fits-all thresholds

DuoHR approach

Operational signals that learn from attendance, leave, payroll, and setup patterns inside the HRMS.

Buyer-safe AI

Common market claim

AI suggestions with unclear accountability

DuoHR approach

Governed assistance with audit logs, role controls, risk levels, and human approval for sensitive actions.

Buyer-safe AI

Common market claim

The same AI behavior for every task

DuoHR approach

The platform chooses the right reasoning path for each HR task, from simple checks to complex analysis.

Buyer-safe AI

Common market claim

AI added as a separate side feature

DuoHR approach

AI sits inside people, time, payroll, reports, setup, and operations so it supports real HR work.

Specialized HR Assistance. Not 1 Chatbot.

Meet the Assistance Layer Behind the HRMS

DuoHR organizes assistance by HR domain, so people, attendance, leave, payroll, setup, and reports get the right context instead of one generic answer.

Conversational Hub
Domain Specialist
Operations Intelligence
Utility

Not Just Pattern Matching. Actual Reasoning.

Every request follows the same five steps, from cheapest model first to full audit trail.

Step 1

Context Enrichment

Pull recent session turns from short-term memory and known preferences from long-term memory.

Step 2

Model Routing

A six-tier router picks the cheapest model that can handle the request, escalating to Haiku, Sonnet, or Opus only when needed.

Step 3

Response

The agent answers in a single pass — no open-ended tool loop that could run away or rack up cost.

Step 4

Human Review

Sensitive changes stay recommendations until a person confirms them in the product.

Step 5

Audit

The request, model tier used, and outcome are written to a 7-year retained audit log.

Agent Memory

Short-Term Memory
Current conversation context, held in Redis for 30 minutes
"User asked about attendance anomalies for February"
Long-Term Memory
Per-user preferences stored in Postgres across sessions
"This user prefers weekly digest over daily alerts"

Right-Sized Reasoning

Not every HR question needs the same level of AI. DuoHR keeps simple checks fast, sends policy-sensitive work through governed controls, and escalates complex analysis only when needed.

1
Quick checks
Status, eligibility, setup completeness, and simple lookups.
2
Policy-aware guidance
Leave, attendance, payroll, and configuration decisions with tenant context.
3
Deep analysis
Cross-module trends, anomaly review, impact analysis, and executive explanations.
4
Human-controlled actions
Sensitive changes pause for confirmation and stay visible in audit history.

Operational Intelligence

Signals That Help HR Act Earlier.

DuoHR surfaces the operational patterns HR teams should not have to discover manually.

Process Guardian

Always-on
  • Monitors service health, tenant setup, and operational queues
  • Learns your tenant's baseline performance
  • Detects deviations through logs, health checks, and workflow status
  • Generates early warning signals before failures occur

"Your payroll run is 2x slower than baseline. Checking for bottlenecks..."

Insight Agent

Always-on
  • Cross-domain trend detection: attendance → leave → payroll
  • Strategic optimization recommendations
  • Surfaces insights proactively in dashboards

"Absenteeism in Warehouse team is trending 12% above Q3 average."

Leave Engine Insight

Autonomous
  • Monitors accrual patterns across every employee
  • Detects anomalies and balance inconsistencies
  • Predicts year-end impact months in advance

"12 employees will hit carry-forward cap by March. Process year-end early?"

Proactive Nudge System

Context-aware
  • Engagement nudges: scheduled, rule-based, lifecycle, inactivity
  • Context-aware: changes based on page and action
  • Max 3 visible, auto-dedup, auto-dismiss
  • AI-recommended timing based on engagement profiles

"3 employees have unresolved exceptions. Payroll will exclude them."

AI That Lives Where You Work. Not Just in a Browser.

DuoHR's intelligence works wherever your team works.

Live

Web Application

AI companion panel in the tenant app, context-aware to the page you’re on

Live

Cloud Intelligence

Anthropic Haiku, Sonnet, and Opus, routed by request complexity

Live

Local Fallback

Ollama runs locally so AI degrades gracefully if the cloud API is unavailable

Roadmap

Mobile App

Same API, responsive interface

Roadmap

MS Teams

Bot framework — approve, query, get nudges

Roadmap

Slack

Slash commands + interactive messages

Roadmap

WhatsApp

Business API — notifications, approvals, queries

Every AI interaction is logged

Whichever surface an AI answer comes from today, the request, the model tier that handled it, and the outcome are written to a monthly-partitioned audit log with a 7-year retention policy — so AI-assisted decisions stay reviewable long after the conversation ends.

  • Tenant, user, and role recorded on every entry
  • Model tier and confidence logged for every response
  • 7-year retention via automated partition management

// ai_audit_logs (monthly partition)

tenant_id, user_id, agent_name

model_tier, confidence, decision_tier

request, response, final_outcome

// retained 7 years, then partition dropped

Stop Building Reports. Start Asking Questions.

Ask an operational HR question in plain language and get a chart built from your tenant's data.

“How many leave requests are pending this week?”

Chart renders from your tenant's leave data

Three ready-made views today

Leave overview

Balances, pending requests, and usage by type

Payroll snapshot

Run status, variances, and component breakdowns

Workforce snapshot

Headcount, attendance, and org distribution

Any Device. One Pipeline.

We don't lock you into a biometric vendor. Punches from terminals, mobile, web, or badges all land in the same attendance flow.

Biometric Terminals
ZKTeco, eSSL, Matrix — any REST-capable device
Mobile App
GPS-based punching for remote and field workforce
RFID / NFC
Badge readers at entry points
Web Clock-In
Browser-based for office and remote workers
Kiosk Devices
Shared terminals for factory/shop floor

What happens after someone punches in

1Punch arrives from any device
2Shift is matched for that person and day
3Near-duplicate punches are cleaned up
4Present / late / early exit status is calculated
5Overtime and night duty are applied from policy
6Exceptions land in a review queue for HR
7Leave or LOP is deducted only when rules say so
8Every step stays explainable in the record

Same flow for every device and industry. Change a biometric vendor without rewriting your attendance rules.

Ready to try DuoHR with your team?

Set up your company profile, configure your policies, and start onboarding instantly — no credit card and no waiting on a sales handoff.