Digital Twin Summary

Source-aware digital replica of your organization. Simulate. Predict. Optimize.

TodayAMArjun MehtaCOO
CURRENT WORKYODHA STATE

Organization Execution Topology

Departments, people, assignments, and operational state from the persisted organization model.

Relationship backed by current data
WorkYodha organizationCurrent operating model
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AI
YODHA AI Operating InsightSOURCE-AWARE INTELLIGENCE

Evaluating current WorkYodha state…

Test the recommendation against current state before acting.Simulate →

Digital Twin Layer View

Business ImpactOutcomes, value delivery& strategic impactNo current modeled impactExecutionWork in progress, tasks,dependencies & deliveryNo active execution events yetPeopleTeams, roles, skills& capacityNo capability data recordedProcessWorkflows, handoffs& process healthNo dependency data availableRiskRisks, issues, controls& mitigationsNo current blockers detectedDataSystems, data quality& information flowNo source-quality signal recorded
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OPERATIONAL CAUSAL CHAIN

Risk Propagation

Evaluating data source

Business Impact Simulation

Adjust levers. See impact. Make better decisions.

Source-backed projected impactRun a simulation to generate a modeled outcome
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Workforce Capacity & Skills Readiness

Capacity distributionNo capacity data recordedNo utilization percentages are inferred.

Bottleneck Detection

Process / AreaBottleneckImpactSeverity

Overdue Task Warnings Illustrative Scenario

TaskOverdue ByPriority

Permit to Work – Confined Space 3 DaysHigh

Asset Inspection – Pump #12 2 DaysHigh

Risk Assessment – Plant #5 1 DayHigh

Training Compliance – Electrical 2 DaysMedium

Calibration – Flow Meter 23 1 DayMedium

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Execution Allocation Recommendation

Candidates are shown only when current role, assignment, or capability data supports a comparison.

No supported reassignment candidates

What-if Simulation