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TechWolf Work Intelligence

TechWolf Work Intelligence

TechwolfTechwolf — The intelligence to act with confidence

TechWolf provides large organizations with Skills Intelligence and Work Intelligence as a central data layer for workforce decisions. Its platform connects tasks, skills and jobs, provides real-time workforce insights, and identifies at the task level where AI can automate or augment work. It also incorporates labor market data and makes the resulting information available in existing HR systems. Founded in 2018, the company is based in Ghent, Belgium; LinkedIn lists its size as 51 to 200 employees.

Skill Managementsaas
Website LinkedIn Support

Use Case

TechWolf Work Intelligence helps HR and business leaders break jobs down into tasks, understand how work is performed today, and assess how AI will change it. Roles are mapped into Human, Augmentable, and Automatable tasks, creating a defensible AI impact roadmap and helping organizations move from theoretical AI strategies and “pilot purgatory” to execution.

The solution combines live Skills Intelligence—available and required skills and proficiency levels—with Work Intelligence covering how tasks and jobs are performed and transformed by AI. This addresses “skills blindness,” where organizations make multimillion-dollar AI decisions without accurate workforce signals.

Organizations can use TechWolf to manage overcapacity ethically through redeployment versus rehiring, forecast task-level automation for headcount planning, and provide personalized guidance on AI-augmented tasks, tools, and prompts within the flow of work.

  • Supports strategic workforce planning, skills-based hiring, internal mobility, reskilling, upskilling, and skill gap analysis
  • Connects work signals with skills, jobs, and business outcomes
  • Identifies where AI can automate or augment work and where AI-native skill gaps exist
  • Shows that 31% of tasks are ready for AI augmentation but remain invisible to planners
  • Indicates that 23.5% of vacancies have a high automation risk
  • Finds that 38% of skills require immediate reskilling
  • Identifies that 75% of employees need targeted upskilling not covered by generic libraries
  • Provides defensible evidence for workforce planning, reskilling, internal mobility, hiring, and AI adoption
  • Reports savings of $4–6M through workforce transformation, $3–4M through visibility at scale, and $1–2M by accelerating AI adoption
  • Customers report faster time-to-hire, improved performance through integration with HCM and HR workflows, and enterprise-wide skills intelligence across large, complex organizations

Target Audience

Global enterprises and public sector institutions undergoing AI and skills transformation; CHROs, People/HR Strategy, HRIS/HRIT leaders, People Analytics/Workforce Planning teams, Talent Acquisition and Internal Mobility leaders; organizations running Workday, SAP SuccessFactors, Visier, and adjacent systems seeking a live, evidence-based map of work, tasks, and skills.

Data Residency

euus

Target Segments

Enterprise

Source URLs

  • https://www.techwolf.ai/product/work-intelligence
  • https://www.techwolf.ai/?utm_source=openai
  • https://www.techwolf.ai/product/integrations/workday?utm_source=openai
  • https://www.techwolf.ai/integrations/servicenow?utm_source=openai
  • https://www.techwolf.ai/integrations/jira?utm_source=openai
  • https://www.techwolf.ai/integrations/crunchr?utm_source=openai
  • https://www.techwolf.ai/integrations/trello?utm_source=openai
  • https://www.techwolf.ai/integrations/gloat?utm_source=openai

methodology

AI impact scoring based on Stanford Human Agency Scale research.

work_intelligence_index

Benchmark view showing how work is performed and AI opportunities at named companies.

Pi handling

Minimizes PII and supports pseudonymization, transparency, and deletion controls.

ui_strategy

No new UI required—insights embedded into Workday, Visier, and planning tools.

Philosophy of data

Ingests raw work signals as-is; does not require perfect data or rigid prerequisites.

AI Manager

Supports ethical capacity management (redeploy vs. rehire) and transparent AI augmentation.

deployment_style

Outcomes-driven engagements with rapid activation of priority use cases.

notes

Public pages highlight enterprise-grade security and governance; specific technical security controls (SSO/SAML, MFA, encryption details) were not explicitly listed in the referenced materials.