SWP Deep Research
A multi-agent AI system that conducts workforce research with real-time web search — competitor analysis, benchmarks, headcount norms, and organization design — in hours, not weeks.
Five specialized agents, one workforce plan
Each agent handles a specific phase of workforce planning. Quality assurance agents review every output for consistency and completeness.
Divisional Input Collection
Structured input forms for divisional stakeholders capturing strategic intent, growth mode, constraints, capabilities needed, and workforce context. The foundation for evidence-based planning.
Deep Research Agent
AI agent with real-time web search that conducts global and regional competitor analysis, finds workforce benchmarks (HR ratios, spans of control, headcount norms), and delivers cited data sources with confidence indicators and recency information.
Organization Design Agent
Generates optimal organizational structure with headcount recommendations based on research findings, strategic intent, and industry context. Structures are tailored to function type and maturity.
Headcount Modeling Agent
Splits headcount by level (junior, middle, senior) using appropriate workforce shape logic — pyramid for operational functions, diamond for professional services, inverted pyramid for research-intensive units.
Skills Definition Agent
Defines required technical skills and proficiency levels for each role and level in the proposed structure. Skills map directly to the WeSoar skills graph for development planning.
QA Agents
Quality assurance review at each stage ensuring consistency, completeness, and alignment with inputs. Every output is validated before moving to the next phase.
Research That Takes Weeks Now Takes Hours
Traditional SWP research requires expensive consultants, weeks of data gathering, and manual analysis. WeSoar's multi-agent system delivers cited, benchmarked workforce plans from basic organizational inputs — with real-time web data, not stale databases.
Cited, current, and confidence-rated
Source Citations
Every data point includes its source — company reports, industry surveys, regulatory filings, and published benchmarks. Consultants can verify any figure, and clients see where the numbers come from. No black-box recommendations.
Confidence Indicators
Not all data is equally reliable. Each benchmark includes a confidence rating — high confidence for large-sample published surveys, medium for smaller studies, low for extrapolated estimates. Users know what to trust and what to validate.
Recency Information
Every source includes publication date and recency assessment. A 2024 HR ratio benchmark is more valuable than a 2019 one. Users see exactly how current each data point is, enabling informed judgment about applicability.
Frequently Asked Questions
What is WeSoar's SWP Deep Research Agent?
It's a multi-agent AI system for strategic workforce planning that uses real-time web search to conduct competitor analysis, find workforce benchmarks (HR ratios, spans of control, headcount norms), and deliver cited data sources with confidence indicators. Five specialized agents handle input collection, research, organization design, headcount modeling, and skills definition — with QA agents reviewing every output.
How does the research agent find benchmark data?
The agent conducts real-time web searches to find the latest workforce data — not relying on static databases. It identifies global and regional competitors, finds published HR ratios and headcount norms, and delivers sources with citations, confidence levels, and recency information.
How long does SWP take with WeSoar?
Research that traditionally takes two weeks with external consultants now takes two hours with WeSoar's multi-agent system. The system collects divisional inputs, conducts web research, generates organization structures, models headcount, and defines skills requirements in a single automated workflow.
Can the research agent find data for specific regions?
Yes. The agent conducts region-specific research — finding benchmarks for Saudi Arabia, UAE, US, UK, India, and other markets. It identifies both global benchmarks and local market data, noting which is more relevant for each planning context.
How does WeSoar's SWP compare to McKinsey or Bain workforce planning?
Same methodology, different delivery model. WeSoar's multi-agent system replicates the structured approach that top-tier consultancies use — divisional inputs, research, structure design, headcount modeling, and skills definition — but delivers in hours instead of weeks, at a fraction of the cost, and with real-time web data instead of stale proprietary databases.
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