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DISHA 4.0 HCOS
Colleagues discussing charts and strategy around a table

ABOUT US · EXPLORE → How DISHA Works

From Human-Capital Data to Intelligent Action.

DISHA 4.0 HCOS™ connects people, skills, opportunities, evidence and AI into one continuously learning human-capital intelligence system.

The Intelligence Flow

One loop, seven stages — click any stage

What enters

People, records, skills, roles, learning, opportunities, credentials, events

What DISHA does

Unifies approved sources and identity/context

Output

Connected human-capital context

Signature demo — try it

Run the DISHA Loop

Choose a goal, run the seven-stage engine and watch the input become a structured next-action view. Inspect the evidence, change an assumption, re-run and compare — the loop is the product.

Context (illustrative)

Professional with education, project and assessment evidence

Input

Target role: data platform lead

Change an assumption, then re-run

Evidence currency: 14 months · Part-time learning capacity: 5 h/week

Run the seven stages on this scenario.

01Evidence mapped to role requirements
023 capability gaps identified (2 buildable)
03Learning routes + work-sample evidence proposed
04Readiness: 6–8 week ramp (illustrative)
05Opportunities connected to the pathway

The DISHA Intelligence Stack

Eight layers, one system

Layer 1

Data & Evidence Layer

Authorized records, events, credentials, assessments, learning evidence, work evidence and external signals.

Layer 2

Human Capital Knowledge Layer

Shared ontology, terminology, taxonomies, relationships and provenance.

Layer 3

Human Capital Genome™

Connected representation of an individual or organizational human-capital state.

Layer 4

Human Digital Twin™

Temporal representation of change, trajectory and state evolution.

Layer 5

Career Intelligence Graph™

Relationships among skills, roles, jobs, learning, credentials, industries and opportunities.

Layer 6

Readiness Intelligence™

Contextual interpretation of current evidence against a defined goal.

Layer 7

AI & Agent Layer

Governed retrieval, reasoning, simulation, recommendation and workflow execution.

Layer 8

Experience Layer

Dashboards, journeys, marketplaces, command centers, APIs and embedded workflows.

The same engine at four scales

One loop — a person, a team, an enterprise, an ecosystem

Individual

“What can I do next?”

Genome → Skills → Readiness → Career → Opportunity

My Journey / Career Intelligence →

Team / Institution

“What capability do we have and need?”

Skills → Workforce → Gaps → Learning → Mobility

Workforce Intelligence →

Enterprise

“How should we transform work and capability?”

Strategy → Work → Demand → Supply → Scenarios → Decision

Workforce / Decision Intelligence →

Ecosystem / Government

“Where are capability and opportunity changing?”

Population → Skills → Opportunity → Policy → Programme → Outcome

Policy / Opportunity views →

Where existing systems fit

DISHA integrates with HRIS, ATS/TAMS, LMS/LXP, CRM, assessment systems, credential stores, ERP/workforce systems, job platforms, institutional systems, data warehouses and APIs. The integration principle: keep systems of record where they are — add a shared intelligence layer where cross-system reasoning is needed.

What AI does — and does not do

  • · AI can retrieve, summarize, classify, map, compare, detect patterns, simulate scenarios, generate drafts and execute approved workflows.
  • · AI exposes evidence and context, identifies uncertainty, and distinguishes observation from inference, forecast, scenario and recommendation.
  • · Human authority remains explicit for consequential decisions, approvals and exceptions.

Illustrative by design: the walkthrough persona, organization and every figure on this page are demonstration composites — never presented as real outcomes.