Discover the future of work

Discover how we used our AI Agent to build a scalable job architecture—24 roles, 5 levels, and 10 departments.

Traditional hiring methods—relying on resumes, experience, and outdated job descriptions—are no longer effective. With 85 million jobs projected to be unfilled by 2030, companies need a skills-first hiring approach to stay competitive. However, 92% of organizations lack reliable workforce skills data, making it difficult to identify skill gaps, match talent to roles, and make informed hiring decisions. A skills-based hiring strategy starts with accurate, AI-driven workforce data to map job roles, define skill-based job descriptions, and optimize hiring decisions. Companies that adopt this approach can reduce hiring costs, improve internal mobility, and ensure fair, skills-based compensation.

Traditional skill gap analysis is outdated, unreliable, and too slow to keep up with today’s evolving workforce. It relies on self-reported assessments, manager bias, and static surveys—leading to inaccurate data, misaligned reskilling efforts, and costly external hiring. AI-driven skill intelligence eliminates bias, updates workforce skills in real time, and predicts future talent needs to ensure businesses stay competitive. By automating skill tracking and workforce planning, AI helps organizations proactively reskill employees, reduce hiring costs, and optimize talent mobility.

Hiring isn’t enough—closing skill gaps requires a skills-first approach powered by AI. Learn how AI-driven reskilling helps enterprises reduce hiring costs, improve workforce agility, and future-proof their talent strategy.

Bridging skills and tasks to redefine work with AI.

Manual skill tracking is flawed—outdated, biased, and incomplete. TechWolf’s AI-powered skills mapping transforms workforce planning by automatically detecting and structuring real skills data, driving smarter hiring, internal mobility, and workforce strategy.

Traditional skill tracking is outdated—self-reported skills are unreliable, and manual assessments don’t scale. TechWolf’s AI-powered skill inference builds real-time, accurate skill profiles using actual work data, transforming workforce planning and talent management.

From consulting to SaaS scale-up, the challenges of building from scratch, and what makes the culture so unique and rewarding.

Insights from TechWolf's COO Mikael Wornoo and UCB's Head of IT Talent & Company Reputation, Christophe Cabrerato.

This blogpost covers Ann-Sophie's journey leading to techWolf, her onboarding experience and what she's most excited about.

Bridging the gap: Turning skills hype into tangible outcomes

Balancing careers and family with flexibility.

This blog post is part of our series on TechWolf's exploration of the intersection between skills and tasks.

By integrating with SAP SuccessFactors, TechWolf delivers real-time, precise skills data to customers.

TechWolf is among the first companies in the Benelux region to achieve ISO 42001 certification.

Navigating the transformative journey to a skill-based approach

From INSEAD to TechWolf: Driving HR transformation with data and collaboration.

Building fair and transparent AI in HR Tech: Moving beyond flashy features to responsible and measurable impact.

TechWolf strengthens commitment to responsible AI by joining the European commission's AI pact.

TechWolf has been selected as one of the trusted AI vendors in Workday’s new AI Marketplace, announced at Workday Rising on September 27. This marketplace brings together Workday AI and third-party AI/ML solutions that integrate seamlessly with Workday’s ecosystem.

How AI can help create a strong skill framework that is tailored, comprehensive and dynamic.

With 85 million jobs predicted to be displaced and 97 million new jobs emerging by 2025, organizations must catch up by adopting skill-based models. Companies like Unilever, General Motors, and IBM are leading the way by redefining roles based on skills rather than degrees or job titles.

To get skill data deep into your operations, business data, in harmony with HR data, is key.

Skills are the new business currency, yet most organizations struggle to measure, track, and use them effectively. Without accurate skills intelligence, companies face talent shortages, inefficient hiring, and missed business opportunities.

A successful skills transformation requires more than just HR data—it demands business-wide insights. Relying solely on HR data creates blind spots, as nearly half of workforce skills are captured in business data rather than HR records.

New appointments bolster global go-to-market and marketing expertise and follow a €10M Series A investment round.

From Sales to Sales & Revenue Operations: A Skills-Based Career Journey at TechWolf. This personal story highlights how TechWolf’s skills-first approach enabled a career transition based on individual strengths and business needs.

AI is revolutionizing skills-based workforce planning, automating skills detection, ensuring real-time updates, and enhancing workforce intelligence. Manual skills tracking is no longer effective—AI-powered skills intelligence provides businesses with the agility to adapt, improve internal mobility, and drive proactive upskilling.

Many organizations recognize the need to move from traditional job-based structures to skill-based models but struggle with implementation. This blog outlines key steps to transition effectively.

Based on our work with leading enterprises, we’ve distilled a successful framework into three main areas.

Many organizations have a wealth of skill data, but fragmented systems prevent them from using it effectively. A resilient skill ecosystem enables companies to gain a real-time, unbiased, and actionable view of workforce skills, improving agility, internal mobility, and workforce planning.

Building a future-proof workforce requires more than just occasional reskilling. Companies must continuously monitor skills health—a real-time measure of how well employee capabilities align with business needs.

Work is changing faster than ever, and traditional workforce planning based on job roles is no longer enough to keep up with disruption. Skills-Based Strategic Workforce Planning (SWP) provides the agility businesses need to adapt to evolving job requirements, emerging technologies, and talent shortages.