Work Intelligence

Work Intelligence for AI transformation people strategy

Work Intelligence gives HR and business leaders enterprise visibility into how work really happens, how AI is transforming it, and what this means for jobs, people, and overall AI transformation Talent Strategy

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Customer stories

The most forward-looking F500 companies already use TechWolf to redesign their work and workforce in the AI era.
Moved from fragmented talent data to a skills intelligence system that now powers strategic workforce planning, internal mobility, and data-driven talent decisions across the bank.
5
months to build enterprise wide skills intelligence
250k+
employees mapped into one unified skills taxonomy
30k+
technology employees with granular skill profiles
HSBC logo
TechWolf gave us visibility into our workforce we simply didn't have before. We can now see where our skills are, where they need to be, and what it will take to get there.
100k+
employees with personalized “skills signatures”
75%+
employees upskilled in critical skills
Enterprise-wide
executive insights for leaders
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Workday’s skills-based hiring approach improved performance and time to productivity
15%
faster time-to-hire with TechWolf
39%
decrease in new hires performing below expectations
14%
faster time to first deal for Account Executives
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Achieved significant improvements in hiring efficiency and AI readiness
Company-wide
skills foundation built in months
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show improved quality and diversity
Talent platforms
now primed for skills-based journeys
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More customer stories

Not just companies saying they'll transform.The ones actually doing so, using TechWolf's skills, work, and market intelligence as the bedrock.
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Meet Work intelligence

You can't change what you can't see

AI has transformative potential for revenue growth, margin, and long-term competitive advantage. However many enterprises are stuck in "pilot purgatory." Buying tools is not enough. AI transformation requires work reinvention. The first step to reinvent work is to understand it in detail.

Why Work Intelligence Matters

Manage workforce over-capacity in an ethical, responsible way

AI impact analysis

AI impact analysis outcome visual

64% of AI pilots fail because they lack a strategic map of how work actually gets done.
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64% of AI pilots fail because they are just random experiments. We categorize every role’s workload into Human, Augmentable, and Automatable tasks, giving you a calculated roadmap for where to deploy AI for maximum efficiency.

Responsible capacity management

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Simply scaling back hiring without accounting for role-level AI impact risks over-hiring in over 50% of roles.

If AI automates 30% of a role, you don't need to hire more people, you need to redeploy the ones you have. Our data enables HR & hiring managers to make better headcount planning decisions with role-specific, task-level automation forecasts.

Employee recommendations

Employee recommendations outcome visual

Data-driven planning accelerates AI adoption by up to 10% to realize cost savings sooner.
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Employees need more specific and relevant guidance on how to use AI in their work. Work Intelligence enables personalized nudges in the flow of work that combine specific AI-augmented tasks with tool and prompt recommendations.

Work Intelligence

Decoding work to measure AI impact.

Job titles can't predict automation. We analyze the underlying tasks of every role to reveal your true exposure to AI, fueling precise decisions on whether to buy, build, borrow, or bot.

Capturing work signals from existing systems

Capture work signals

Don't worry about "perfect" data. We ingest your current job descriptions, project logs, and tickets exactly as they are.

Breaking roles down into tasks

Break down roles into tasks

A "Job Title" is too vague. Our AI breaks every role down into granular tasks and processes to see the real work.

Scoring the AI opportunity per task

Score the AI opportunity

We use Stanford-backed research to score every single task: Can an AI agent do this? Or does it need a human?

Employee verification loop

Employee verification loop

Algorithms can be wrong. We send simple questions to your managers (in Slack or Teams) to confirm the data is real.

Forecasting the AI impact on a department

Forecast the AI impact

We show you the future state: "If you deploy this AI tool, you will save 200 hours in this department.”

Integrating work intelligence with the HCM

Integrate with your HCM

The data doesn't stay with us. We push these insights directly into Visier, Workday, or Adaptive so you can plan.

Work Intelligence Index

Want to see the AI opportunity in your workforce?

We’ve open-sourced our Work Intelligence Index. And you can play around with the data. Just select your company and find out how work is actually being done, and which tasks are prone to automation or augmentation by AI.

TechWolf Work Intelligence Index

Why TechWolf

Why enterprises choose TechWolf

Generic AI isn't enough for complex organizations. We provide the world’s most advanced inference engine, engineered to deliver the clarity, compliance, and connectivity global enterprises need to transform at scale

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Built on your reality

TechWolf isn’t built on generic LLMs. Our purpose-built models are engineered to ingest raw work signals and transform them into a unified, high-fidelity picture of jobs, skills, and tasks unique to your organization.

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Scientifically proven AI models

TechWolf has AI at the heart since the start. We use the Stanford Human Agency Scale to ensure our automation scores are backed by science, giving you defensible, academic-grade data to support your critical workforce decisions.

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Unified skills, work and market intelligence

TechWolf is the only all-in-one solution that brings work intelligence and skills intelligence together. We bridge the gap between human potential and business requirements within a single ecosystem.

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Intelligence in the flow of work

We bring intelligence directly to where work happens, making your current SAP and Workday systems smarter without requiring employees to log into another tool.

Overview of why enterprises choose TechWolf
Security and compliance certification badges

Security & governance

We don't guess. We use the Stanford Human Agency Scale to ensure our automation scores are backed by science, giving you defensible, academic-grade data to support your critical workforce decisions.

Customer success stories

You’re in good company here

See how global leaders are using data to deploy AI safely.

Play video
Podcast guest speaking on a video call
Ian Baillie
VP, People Strategy and Operations at Synopsys
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Podcast guest speaking into a microphone in front of a Workday backdrop
15%
time to hire reduced
Read full story
Read full story
Josh Tarr
Director Skill Based Organisation at Workday
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Podcast guest wearing headphones during a recording
Christophe Cabrera
Director, Head of IT Talent & Company Reputation at UCB

Resources

Latest sources

From guides to whitepapers, we’ve got everything you need to for your skills journey.

Blogpost

The friction layer: Where structural AI pressure actually lands

This analysis by Endeavor Intelligence, using TechWolf’s data from two billion job postings, maps the "friction layer" where AI pressure actually concentrates. It reveals that DevOps, QA, and Finance face more structural strain than Software Engineering due to shared skills. Expect a breakdown of how these overlooked functions require unique strategies, either workflow redesign or workforce restructuring, to survive the organizational ripple effects of AI-driven change.
Markus Bernhardt, Principal at Endeavor Intelligence
April 28, 2026
The friction layer: Where structural AI pressure actually lands
Blogpost

McKinsey x TechWolf on AI, agents, and the next decade of work

McKinsey's Sven Smit and Anu Madgavkar make a counterintuitive case: as AI automates more work, large economies will hit a people shortage, not a surplus, thanks to demographic decline and the new demand that automation unlocks. In our conversation, they break down why "soft skills only" is dangerous advice for young workers, why the fastest learner (not the best planner) wins, and why task-level optimization is a trap when workflow redesign is the real strategic unlock. A must-listen for CHROs planning the next five years of hybrid, human-plus-agent teams.
Julius Schelstraete
April 23, 2026
McKinsey x TechWolf on AI, agents, and the next decade of work
Blogpost

Why ‘layoffs + rehiring’ is the worst answer to the AI transformation

Firing and rehiring isn't an AI strategy, it's a costly gamble. Our research shows why reskilling your existing workforce beats the layoff cycle on every metric that matters.
February 12, 2026
Why ‘layoffs + rehiring’ is the worst answer to the AI transformation
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