01
Corporate Intelligence
Who is the organisation?
- Industry
- Company size
- Revenue
- Workforce
- Countries and locations
- Growth and acquisitions
- Business footprint
- Organisational characteristics
Research. Diagnose. Transform.
HR Shastra
HR Transformation Intelligence Platform
Discover the HR problems that matter. Understand why they exist. Define the outcomes. Build the transformation roadmap.
HR Shastra combines corporate intelligence, geo/workforce intelligence, HR scenario discovery, evidence-based problem diagnosis and transformation intelligence to help HR leaders and consultants move from business symptoms to actionable transformation priorities.
New to this? Read the transformation roadmap method
The transformation journey
- 01Company + Geography
- 02Workforce Intelligence
- 03HR Scenarios
- 04Validated Problems
- 05Root Causes
- 06Target Outcomes
- 07Transformation Acts
- 08Technology & Capabilities
- 09Prioritised Transformation Roadmap
Interactive walkthrough
See HR Shastra in Action
A representative worked example, not live research. Select the scenarios you recognise and watch the structured reasoning chain assemble — symptoms, root causes, outcomes, transformation acts, then technology.
Example company context
- Company
- Global Manufacturing Company
- Workforce
- 80,000 employees
- Countries
- India · UAE · Saudi Arabia · UK · USA
- Locations
- Mumbai · Bengaluru · Dubai · Riyadh · London · New York
Potential HR business scenarios
Nothing is asserted about this organisation. Confirm what applies or mark it not applicable — the prioritised roadmap updates immediately.
1 confirmed · 0 not applicable
Prioritised transformation roadmap
IllustrativeSequenced from the scenarios you confirmed, by indicative impact and feasibility. In the workspace these scores are researched and validated with you.
- 01Fragmented HR systemsNext
HR technology consolidation and data-model standardisation
Core HR · Integration · impact 5/5 · feasibility 2/5
The PDF opens your browser's print dialog — choose "Save as PDF". Every export carries the illustrative-example note and the sequencing rule.
Selected problem
Fragmented HR Systems
1 scenario confirmed. In the workspace, scenarios are clustered into problems and each problem is researched with cited evidence.
Symptoms
- Multiple HR systems across countries
- Duplicate employee data
- Manual HR administration
- Inconsistent reporting
- Poor employee experience
Potential root causes
- Decentralised HR technology ownership
- Legacy applications retained after growth
- Country-specific implementations
- Lack of a common HR data model
Target outcomes
- Single source of workforce truth
- Reduced HR administration
- Consistent employee experience
- Improved HR analytics
- Lower technology complexity
Transformation acts
- HR process harmonisation
- HR technology consolidation
- Data model standardisation
- Employee self-service
- HR analytics modernisation
- Integration simplification
Technology / capability areas
- Core HR
- Payroll
- Workforce Management
- HR Service Delivery
- People Analytics
- Integration
- AI / Automation
Technology is considered only after the problem and target outcome are established.
Differentiator
Geo-Aware HR Intelligence
HR problems do not exist in isolation. Workforce geography, labour markets, regulations, operating models and organisational footprint influence the nature and severity of HR challenges.
Organisation
Illustrative- Countries
- Regions
- Cities
- Workforce distribution
- HR operating model
- Regulatory environment
- Labour-market conditions
Same company — different geography
Illustrative exampleThe countries, factors and comparisons below are an illustrative example, not live research and not universal assumptions. For a real organisation the engine researches and validates each factor against public sources, and labels anything it cannot evidence as an inference or hypothesis.
India
Example factors
- · Large workforce base
- · Statutory complexity
- · High-volume HR operations
- · Skills and talent-market considerations
What the engine would validate
- Country headcount and site distribution from public filings
- Applicable statutory and payroll obligations per state
- HR shared-service footprint and transaction volumes
- Local labour-market and attrition conditions for key roles
UAE
Example factors
- · Multi-national workforce
- · Local employment requirements
- · Expatriate workforce considerations
- · Workforce localisation considerations
What the engine would validate
- Entity structure and free-zone vs mainland operations
- Current employment and visa-related compliance requirements
- Expatriate workforce mix and mobility activity
- Any localisation targets that apply to the organisation
Saudi Arabia
Example factors
- · Local regulatory environment
- · Workforce localisation considerations
- · Rapid economic transformation
What the engine would validate
- Regulatory obligations that apply to the organisation's sector
- Localisation requirements and reported compliance position
- Growth, project and hiring activity affecting HR capacity
Research and scenario generation adapt to the countries and specific locations you enter in Scope — the same company footprint researched in two geographies produces different scenarios.
Product architecture
Five Intelligence Engines. One Transformation View.
02
HR Scenario Intelligence
What could be happening?
- Recognisable business scenarios
- Internal and external symptoms
- Horizon and relevance
- User validation, not assertion
03
HR Problem Intelligence
What problems actually matter?
- Problems
- Symptoms
- Drivers
- Root causes
- Evidence
- Confidence
04
Transformation Intelligence
What needs to change?
- Business transformation
- Digital transformation
- Process transformation
- Operating-model transformation
- Workforce transformation
- AI / automation opportunities
05
Technology Intelligence
What can enable the change?
- Capability-area mapping
- HR technology landscape research
- Outcome-to-capability traceability
- Considered only after the outcome is set
Structured, not conversational
The engines run behind the scenes. You interact through selection, validation, exploration and prioritisation — not by typing prompts and trusting an answer.
Methodology
Eight steps from symptom to priority
The methodology is unchanged and deliberate. Each step produces something the next step depends on, and nothing skips ahead to a technology answer.
- 01
Scope
Define company, geography and research context.
- 02
Scenarios
Surface potential HR business scenarios.
- 03
Problems
Validate which scenarios actually matter.
- 04
Drivers
Understand internal and external contributing factors.
- 05
Root Cause
Investigate the underlying causes.
- 06
Outcomes
Define what the organisation needs to achieve.
- 07
Technology
Identify capabilities that can enable the outcomes.
- 08
Prioritisation
Rank by impact, urgency, feasibility and evidence.
Outcome before technology.
Transformation mind map
Every problem becomes a traceable chain
Click any node to read the supporting research behind it. In the workspace, each researched problem also generates a full radial mind map with cited sources.
Problem
Symptoms · Drivers · External factors
Root causes
Target outcomes
Transformation dimensions
Transformation acts
Technology / capabilities
Value / KPIs
Scenarios before research
You validate the symptoms first
The AI is never asked to decide what your problem is. It surfaces as many recognisable scenarios as the research supports across every HR area, and generates additional ones based on your company and geography. You choose what applies.
Workforce
- Headcount volatility
- High attrition
- Skills shortages
- Workforce ageing
- Productivity concerns
- Difficult workforce planning
HR Operations
- High transaction volumes
- Manual processes
- Slow HR response
- Excessive administrative effort
- Process inconsistency
HR Technology
- Multiple HR platforms
- Legacy applications
- Poor integration
- Duplicate data
- Limited analytics
Payroll
- Multiple payroll systems
- Manual payroll activities
- High payroll error rates
- Country-specific complexity
- Payroll reconciliation effort
Talent
- Skills visibility gaps
- Internal mobility challenges
- Difficult succession planning
- Weak workforce planning
Employee Experience
- Low self-service adoption
- Poor HR service experience
- Fragmented employee journeys
Evidence-first research model
Assumptions are labelled, never disguised as facts
Every significant finding carries its sources, evidence strength, confidence and the reasoning that links them. Where there is no direct evidence, the finding is explicitly marked as an inference.
FACT
Stated in a primary source about the organisation.
EVIDENCE
Supported by one or more cited external sources.
INFERENCE
Derived from available evidence — must be validated by you.
HYPOTHESIS
A plausible explanation offered for testing, not a conclusion.
Finding
HR administration effort is concentrated in country-level manual processing.
Evidence strength
Medium
Confidence
Medium
Label
INFERENCE
Evidence
- 1.Company annual report — shared-services footprint and headcount by region
- 2.Industry HR operations benchmark — administration hours per employee
- 3.Public job postings indicating country-level HR operations roles
Reasoning
The sources establish a distributed HR operations footprint and above-benchmark administration effort, but none states the cause directly.
INFERENCE: This conclusion is inferred from the available evidence and should be validated.
Sample output
What Your Research Output Looks Like
An illustrative output for the example manufacturing company. Live runs replace every value with researched, cited findings.
Company context
- Workforce
- 80,000 employees
- Countries
- India · UAE · Saudi Arabia · UK · USA
- Locations
- 6 primary sites
- Industry
- Discrete manufacturing
- Growth
- Two acquisitions in 36 months
- HR footprint
- Regional HR ops in 3 hubs
Top HR challenges
| Challenge | Impact | Urgency | Evidence | Confidence |
|---|---|---|---|---|
| Fragmented HR systems | High | High | Medium | Medium |
| Multi-country payroll complexity | High | High | High | High |
| Elevated attrition in critical roles | High | Medium | Medium | Medium |
| Skills visibility gaps | Medium | Medium | Low | Low |
| HR administration effort | Medium | High | Medium | Medium |
| Workforce planning maturity | Medium | Low | Low | Low |
| Manager self-service adoption | Low | Medium | Medium | Medium |
Problem → outcome → act → capability
- Fragmented HR systemsSingle source of workforce truthHR technology consolidationCore HR · Integration
- Payroll complexityPredictable, accurate payroll cyclesPayroll consolidationPayroll · Workforce Management
- Attrition in critical rolesReduced regretted attritionInternal mobility frameworkTalent · People Analytics
Prioritisation — impact × feasibility
Feasibility →↑ Business impact
- · Payroll consolidation
- · HR tech consolidation
- · Self-service rollout
- · Analytics modernisation
- · Workforce planning
Executive summary (sample)
Two acquisitions in three years left the organisation operating parallel HR and payroll platforms across five countries, with HR administration effort concentrated in regional hubs. The highest-impact, most feasible first move is payroll consolidation, which resolves statutory exposure and reconciliation effort without waiting for the wider core-HR consolidation. Core-HR consolidation carries the larger benefit but low near-term feasibility, so it is staged behind a common HR data model. Attrition in critical engineering roles is treated as a separate problem with its own root causes; it is not resolved by technology consolidation.
Who is HR Shastra for?
CHRO / HR Leadership
Identify strategic workforce and HR transformation priorities.
HR Transformation Leaders
Move from business problems to transformation roadmaps.
HR Consultants
Accelerate account discovery, research and diagnostic preparation.
HR Technology Leaders
Understand where technology can address real business problems.
Business / Account Leaders
Research organisations before customer conversations.
HR Strategy Teams
Create evidence-backed transformation hypotheses.
Consulting outputs
Research becomes reusable business artifacts
- Available
Executive Presentation
PowerPoint, themed
- Available
Research Workbook
Excel — HR tech requirements
- Available
HTML Research Report
Full report, self-contained
- Available
Executive Report (PDF)
Print / save as PDF
- Available
Transformation Mind Map
Per researched problem
- Available
Prioritisation Matrix
Impact × effort quadrant
- Available
Root Cause Analysis
Included in the report
- Available
Capability Assessment
Outcome → capability mapping
- Coming soon
Problem Tree
Standalone diagram export
- Coming soon
Transformation Heatmap
Portfolio-level view
Why HR Shastra?
Traditional research
- Search
- Read
- Interpret
- Build slides manually
Generic AI
- Prompt
- Answer
- Trust the output
HR Shastra
- Company + Geography
- Evidence
- Scenarios
- User validation
- Problems
- Root causes
- Outcomes
- Transformation
- Prioritisation
Trust
Built on Research Discipline
Evidence First
Claims are supported by sources whenever possible.
Geography Matters
Research is contextualised to the workforce footprint.
Human Validation
You decide which scenarios and problems actually matter.
Outcome Before Technology
Requirements are defined before technology is recommended.
From HR Symptoms to Transformation Strategy.
Start your research
Understand the problem before choosing the technology. Access is limited to approved business email addresses — we email you a one-time sign-in code.
Scope inference
Company, countries and specific locations shape the research.
Internal + external
Macro, market, regulatory and organisational factors.
Symptom → root cause
The causal chain is never collapsed into a tech answer.
Cited evidence
Sources per claim, or an honest inference label instead.