How Darwinbox Achieved

85% Faster Onboarding with Beacon.li

How Darwinbox Achieved

85% Faster Onboarding with Beacon.li

How Darwinbox Achieved 85% Faster Onboarding with Beacon.li

Darwinbox, a global HR platform, partners with Beacon.li to simplify client onboarding for its hyper-dependent Leave Module, where every setup ties deeply into Core HR logic.

70% same-day support resolution, up from 28%. Our NPS scores have never been higher.

70% same-day support resolution, up from 28%. Our NPS scores have never been higher.

70% same-day support resolution, up from 28%. Our NPS scores have never been higher.

Vineet Singh

Vineet Singh

Vineet Singh

CEO, Darwinbox

CEO, Darwinbox

CEO, Darwinbox

85%

85%

85%

Faster Onboarding

Faster Onboarding

Faster Onboarding

60%

60%

60%

Lower Onboarding Costs per Client

Lower Onboarding Costs per Client

Lower Onboarding Costs per Client

The Inherent Complexity of the Leave Module

The Inherent Complexity of the Leave Module

The Inherent Complexity of the Leave Module

The Leave Module varies for every client because each organization has unique leave policies, regional laws, and employee structures.


  1. Three-Tier Configuration Setup:
    The system runs on three levels of configuration- policy setup, eligibility rules, and workflow mapping, with over 290 interlinked attributes that must work together.

  2. Deep Integration with Other HR Modules:
    It’s deeply connected to other HR modules like Core HR, Attendance, Payroll, and Compliance, where one change affects multiple systems.

  3. Time and Role-Based Rules:
    Leave rules change by time (accrual, reset, carry-forward) and employee role or location, making configuration highly dynamic.

  4. Setup Dependencies:
    Some settings only activate after related configurations in the Core HR module, so setup order matters.

The Leave Module varies for every client because each organization has unique leave policies, regional laws, and employee structures.


  1. Three-Tier Configuration Setup:
    The system runs on three levels of configuration- policy setup, eligibility rules, and workflow mapping, with over 290 interlinked attributes that must work together.

  2. Deep Integration with Other HR Modules:
    It’s deeply connected to other HR modules like Core HR, Attendance, Payroll, and Compliance, where one change affects multiple systems.

  3. Time and Role-Based Rules:
    Leave rules change by time (accrual, reset, carry-forward) and employee role or location, making configuration highly dynamic.

  4. Setup Dependencies:
    Some settings only activate after related configurations in the Core HR module, so setup order matters.

The Leave Module varies for every client because each organization has unique leave policies, regional laws, and employee structures.


  1. Three-Tier Configuration Setup:
    The system runs on three levels of configuration- policy setup, eligibility rules, and workflow mapping, with over 290 interlinked attributes that must work together.

  2. Deep Integration with Other HR Modules:
    It’s deeply connected to other HR modules like Core HR, Attendance, Payroll, and Compliance, where one change affects multiple systems.

  3. Time and Role-Based Rules:
    Leave rules change by time (accrual, reset, carry-forward) and employee role or location, making configuration highly dynamic.

  4. Setup Dependencies:
    Some settings only activate after related configurations in the Core HR module, so setup order matters.

Beacon AI

Beacon AI

Create the leave policies for Acme Corp. Here is their policy document.

Create the leave policies for Acme Corp. Here is their policy document.

Got it! Ingesting the document… extracting policy details using NLU.

Got it! Ingesting the document… extracting policy details using NLU.

 Identified 12 leave types and 3 eligibility rules. Mapping them to Darwinbox’s configuration fields…

 Identified 12 leave types and 3 eligibility rules. Mapping them to Darwinbox’s configuration fields…

Linking probation period data for new employees

Linking probation period data for new employees

Validation complete. No inconsistencies found. Ready to deploy configurations?

Validation complete. No inconsistencies found. Ready to deploy configurations?

Beacon AI

Beacon AI

Beacon AI

Validation complete. No inconsistencies found. Ready to deploy configurations?

Validation complete. No inconsistencies found. Ready to deploy configurations?

Validation complete. No inconsistencies found. Ready to deploy configurations?

Yes, proceed.

Yes, proceed.

Yes, proceed.

Deploying setup. Auto-recovering from 2 minor field mismatches.

Deploying setup. Auto-recovering from 2 minor field mismatches.

Deploying setup. Auto-recovering from 2 minor field mismatches.

Configuration completed successfully in 14 minutes.

Configuration completed successfully in 14 minutes.

Configuration completed successfully in 14 minutes.

Beacon AI

Beacon AI

Create the leave policies for Acme Corp. Here is their policy document.

Got it! Ingesting the document… extracting policy details using NLU.

 Identified 12 leave types and 3 eligibility rules. Mapping them to Darwinbox’s configuration fields…

Linking probation period data for new employees

Validation complete. No inconsistencies found. Ready to deploy configurations?

How Beacon’s AI Orchestration Simplified the Client Onboarding Workflow:

How Beacon’s AI Orchestration Simplified the Client Onboarding Workflow:

How Beacon’s AI Orchestration Simplified the Client Onboarding Workflow:

Beacon’s AI layer reads, maps, validates, and sets up client policies automatically, transforming onboarding from hundreds of manual steps into a self-validating automation flow.

Beacon’s AI layer reads, maps, validates, and sets up client policies automatically, transforming onboarding from hundreds of manual steps into a self-validating automation flow.

Beacon’s AI layer reads, maps, validates, and sets up client policies automatically, transforming onboarding from hundreds of manual steps into a self-validating automation flow.

Dynamic Document Ingestion
Data extraction agents read client policy documents (SOWs, sheets, PDFs) and pull out relevant rules using natural language understanding.


Contextual Mapping Engine
Automatically maps extracted data to relevant UI fields and configuration parameters within the leave module.


Dependency Intelligence
Review agents allow human reviewers to verify extracted data, while validation agents cross-check dependencies with Core HR and ensure logical consistency.


Error-Tolerant Execution
Loading agents deploy the validated configurations into the system, automatically recovering from minor UI or data-level issues without halting execution


Secure Orchestration & Auditability
All operations run within a sandboxed orchestration layer, maintaining compliance, traceability, and detailed audit logs through the integrated validation engine.

Dynamic Document Ingestion
Data extraction agents read client policy documents (SOWs, sheets, PDFs) and pull out relevant rules using natural language understanding.


Contextual Mapping Engine
Automatically maps extracted data to relevant UI fields and configuration parameters within the leave module.


Dependency Intelligence
Review agents allow human reviewers to verify extracted data, while validation agents cross-check dependencies with Core HR and ensure logical consistency.


Error-Tolerant Execution
Loading agents deploy the validated configurations into the system, automatically recovering from minor UI or data-level issues without halting execution


Secure Orchestration & Auditability
All operations run within a sandboxed orchestration layer, maintaining compliance, traceability, and detailed audit logs through the integrated validation engine.

Dynamic Document Ingestion
Data extraction agents read client policy documents (SOWs, sheets, PDFs) and pull out relevant rules using natural language understanding.


Contextual Mapping Engine
Automatically maps extracted data to relevant UI fields and configuration parameters within the leave module.


Dependency Intelligence
Review agents allow human reviewers to verify extracted data, while validation agents cross-check dependencies with Core HR and ensure logical consistency.


Error-Tolerant Execution
Loading agents deploy the validated configurations into the system, automatically recovering from minor UI or data-level issues without halting execution


Secure Orchestration & Auditability
All operations run within a sandboxed orchestration layer, maintaining compliance, traceability, and detailed audit logs through the integrated validation engine.

Leave Setup at the Speed of Thought

Leave Setup at the Speed of Thought

Leave Setup at the Speed of Thought

The orchestrator performed the same steps a consultant would do inside Darwinbox. It read the documents, set up leave types, applied the right rules, and validated everything instantly.

The orchestrator performed the same steps a consultant would do inside Darwinbox. It read the documents, set up leave types, applied the right rules, and validated everything instantly.

The orchestrator performed the same steps a consultant would do inside Darwinbox. It read the documents, set up leave types, applied the right rules, and validated everything instantly.

Metric

Metric

With Beacon.li

With Beacon.li

Average Setup Time

Average Setup Time

Support Resolution Time

Support Resolution Time

Policy Configuration Speed

Policy Configuration Speed

Dependency Resolution Time

Dependency Resolution Time

85–90% faster

85–90% faster

50% drop in L1–L3 ticket volume

50% drop in L1–L3 ticket volume

12–15 policies configured in minutes (10x faster)

12–15 policies configured in minutes (10x faster)

Setup process has seen 96% reduction in time

Setup process has seen 96% reduction in time

Metric

Average Setup Time

Support Resolution Time

Policy Configuration Speed

Dependency Resolution Time

With Beacon.li

85–90% faster

50% drop in L1–L3 ticket volume

12–15 policies configured in minutes (10x faster)

Setup process has seen 96% reduction in time

What’s Next:

What’s Next:

What’s Next:

With Leave Management streamlined, the focus now shifts to create better alignment across modules and scale onboarding globally.


  • Bring consistency across Attendance, Leave and Payroll modules.

  • Handle complex rules and dependencies with minimal manual effort.

With Leave Management streamlined, the focus now shifts to create better alignment across modules and scale onboarding globally.


  • Bring consistency across Attendance, Leave and Payroll modules.

  • Handle complex rules and dependencies with minimal manual effort.

With Leave Management streamlined, the focus now shifts to create better alignment across modules and scale onboarding globally.


  • Bring consistency across Attendance, Leave and Payroll modules.

  • Handle complex rules and dependencies with minimal manual effort.

Drive faster time-to-value across every client onboarding with Beacon’s AI orchestration

Drive faster time-to-value across every client onboarding with Beacon’s AI orchestration

Drive faster time-to-value across every client onboarding with Beacon’s AI orchestration