Easily create a human skills and AI agent inventory

Gain a clear view of your human and digital workforce capabilities to make smarter, faster decisions.

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Our specialist team can provide tailored advice for your business case.

Why do inventories matter?

Enterprises everywhere are investing heavily in AI agents, driven by the productivity and innovation gains they promise.

But this creates a new operational challenge for tech leaders: understanding what skills exist across both their people and their agents, and ensuring those capabilities can be deployed effectively.

Without a clear system for tracking which people and agents are active (including “shadow agents”), organisations risk duplicated work, compliance issues and wasted spend.

Unified inventories give you a single source of truth.

A combined human and AI agent inventory can help to:

Expose hidden capabilities by finding domain expertise that is not being used
Identify gaps and plan training by comparing existing skills to future needs
Govern AI agents by understanding which ones exist, what data they access and who owns them
Optimise resource allocation by matching the right people and agents to the right projects

Introducing Map: Our Human Skills and Agent Inventory

Human Skills

Most skills platforms run on generic, HR-built taxonomies. These are broad libraries that match an engineer against “software development” and call it done. That’s not good enough for a CIO making technical deployment decisions.

That’s why we built our own. A purpose-built technology taxonomy with 40,000+ IT skills across 442 subcategories.

Granular by design: Match on Kubernetes, Zero Trust Architecture, Transformer Architecture or dbt, not a vague “tech” bucket. Skills are structured hierarchically, so a project requirement is matched precisely.
Covers the full modern stack: Software development, cloud and infrastructure, cybersecurity, AI/ML, data engineering, QA, and emerging tech are all first-class areas.
Maps to the standards you already use: Our taxonomy aligns to SFIA and O*NET, so it speaks the same language as your existing capability frameworks.
AI-ready: Dedicated coverage of AI/ML skills (362 and growing) means your engineers’ AI capabilities are inventoried alongside their traditional ones. This is essential when you’re orchestrating humans and agents.
Actively maintained: New skills in AI, cloud and cybersecurity are added continuously, so your inventory reflects the stack as it is now, not as it was three years ago.

AI Agents

With the Agent Registry we have added another layer to our Work Orchestration Platform, ensuring it covers all resources enterprise leaders have available to them – both human and digital.

Unlike a one-size-fits-all AI approach, this is vendor agnostic, so enterprises can use the AI stack of their choice, whether a Microsoft 365 Copilot or a bespoke AI, within the Gigged.AI workflow.

For example, a developer might bring a code testing agent that reviews their work in real time, or a manager might use an AI assistant to draft project scopes.

These agents can then be automatically matched to projects posted on the platform to ensure the best fit talent is always in the right place – whether that be an internal employee, contractor, agent or a combination of all of them.

Skills Frameworks and Data Standards

Gigged.AI supports SFIA 9, the globally recognised framework for digital and technology skills.

Enterprises can align their internal skill definitions to SFIA for consistent capability mapping across all roles.

Our skills taxonomy incorporates data from O*NET, the U.S. Department of Labor’s definitive occupational database.

This ensures every role and skill on Gigged.AI maps accurately to real-world job functions, driving better matches and analytics.

“What stood out with Mobilise was how fast it gets you from a brief to a team.

Instead of starting with a blank page or a call to a supplier, we start with our own people and agents and only fill the gaps that are really there. It has changed how we plan work.”