Workforce Intelligence Use Cases
These use cases show how applications, advisors, and AI systems can use Avelin decision support in workforce workflows.
The current capabilities support decision assistance and human review. They do not make final hiring decisions or replace workforce systems.
Evidence-based workforce decision-making
Section titled “Evidence-based workforce decision-making”For a reusable lifecycle, see Evidence-Based Workforce Decisions. It covers sourcing evidence, handling uncertainty, preserving provenance, and routing material uncertainty to human review.
Recruiting
Section titled “Recruiting”Recruiting and HR advisory teams can use Job Intelligence to examine unclear role text before sourcing begins. Avelin can surface occupation alignment, skill evidence, ambiguity, weak signals, confidence, and review guidance.
HR Services Intelligence and the Role Intelligence Report show how these signals support a client intake conversation without replacing recruiter judgment.
Workforce Planning
Section titled “Workforce Planning”Workforce-planning applications can combine occupation profiles, skill signals, and available labor-market context to review roles against a planning question.
The current APIs provide evidence and context rather than an autonomous planning engine. Market Intelligence describes the supported market surface.
Career Intelligence
Section titled “Career Intelligence”Occupation and skill intelligence can help a human-reviewed career workflow standardize role context and inspect transferable signals. The current controlled beta does not expose a dedicated career-transition or autonomous career-planning engine.
Occupation Classification documents the standardization foundation.
Skill Intelligence
Section titled “Skill Intelligence”Applications can use detected and matched skills as evidence behind occupation or role analysis. This helps reviewers understand why a result is supported and where the input lacks enough skill-bearing detail.
Skill Signal Analysis explains the supported output pattern.
Enterprise Grounding
Section titled “Enterprise Grounding”Customer Grounding lets an organization use approved role profiles, competency frameworks, hiring rubrics, policies, and operating guidance as tenant-scoped evidence.
This can support internal role calibration, policy-aware guidance, competency review, and customer-specific Role Intelligence. It does not provide external connectors or general document chat in the current release.
Read Customer Grounding for the evidence lifecycle and controlled-beta limits.
AI Agents
Section titled “AI Agents”AI clients can consume selected Avelin capabilities through the customer-operated MCP stdio adapter. The adapter calls the same authenticated Runtime API used by REST integrations, so decision semantics remain in Avelin.
There is no hosted MCP daemon or remote MCP service in the current release. Read MCP for the current model.
Cross-Cutting Decision Controls
Section titled “Cross-Cutting Decision Controls”Decision Scoring describes confidence and routing signals. Governed Workflow Automation explains how applications can incorporate those signals into approval and review policies.
In every use case:
- What workforce decision is needed?
- Which evidence supports, limits, or contradicts the result?
- Which cases require clarification or human review?