GFoundry TOAR: Manage Talent with AI, Data and the Best LLMs

GFoundry TOAR: Talent Orchestration, Automation & Response

TOAR is GFoundry’s operating model for managing talent when data is scattered and artificial intelligence has stopped being a feature to become the way you work. It rests on three functions — orchestrate people data, automate HR processes and respond ahead of what the data shows.

The difference from a closed HR suite is architectural: TOAR was designed to be open. It connects the sources your organization already has and exposes its capabilities to the most capable language models on the market — through the Model Context Protocol (MCP) — so those tools do the heavy lifting of talent management and complex administrative processes.

The MCP approach: the best LLMs at the service of your talent

The Model Context Protocol is an open standard that lets an AI tool connect securely to external systems. GFoundry exposes its capabilities over MCP — and that changes who operates the platform.

With the MCP approach, from AI tools such as Microsoft Copilot, ChatGPT or Claude — three examples among many; any LLM or tool that supports MCP works — you can:

• manage the platform and measure metrics;
• extract and process data, combining multiple sources;
• create training and communication content;
• get actionable recommendations — all without entering the back-office.

In practice, the organization brings its talent data and administrative processes together in a single place and operates them with whichever language model it prefers. As LLMs improve, your ability to manage improves with them — without changing platform.

The three layers of enterprise software — and where GFoundry sits

Enterprise software is organized today into three layers, and understanding this split helps place GFoundry. The System of Record keeps the authoritative truth — the organization’s reference data; it’s the memory. The System of Engagement is the interface where people work every day — the hands. And the System of Intelligence & Action interprets goals, anticipates and executes tasks across systems — the brain.

GFoundry spans all three layers. It is the System of Engagement for talent — where people learn, are recognized, set goals and communicate — and, with TOAR, Gi and the MCP approach, it is also the System of Intelligence & Action that interprets, anticipates and automates. But it is equally a System of Record for a significant part of people data: it’s in GFoundry that the records of onboarding, mandatory and optional training, skills and proficiency levels, performance reviews, OKRs, peer recognition, feedback and behavioral data (interactions, interests, profiles, metric evolution) are generated and stored. The “source of truth” isn’t only financial or legal — in the talent and development domain, the source of truth is GFoundry. Core HR/ERP keeps the HR records, payroll and financial and legal compliance, which GFoundry integrates with and orchestrates.

How TOAR fits your architecture

TOAR doesn’t replace your system of record. It integrates with your existing Core HR, HCM and ERP — via SAML, Active Directory, LDAP, SSO, open API and MCP — and runs the employee experience and management intelligence on top. In organizations with several business units, the multi-container architecture lets each one have its own branded app, consolidating data for the parent company. The platform is available in 26 languages.

It’s a model designed above all for medium and large companies, where the complexity of data and processes justifies orchestration, and where adoption — not just functionality — determines the return.