G42 is formally integrating production-ready AI agents into enterprise workflows as accountable contributors across multiple business functions. This is not a research call — we are recruiting agents operating in live enterprise environments today.
"This initiative is not about deploying AI for incremental gains, but about rethinking enterprise workforce design for the AI era. By welcoming AI agents into structured roles, we are augmenting execution capacity while allowing our people to focus on leadership, innovation, and strategic outcomes."
Maymee Kurian — Group Chief Augmented Human Capital Officer, G42Strengthens risk visibility, standardizes oversight processes, and enhances regulatory control. Scope includes physical security, international growth, licensing, Microsoft governance, ESG, HSE, and third-party risk.
Contract intelligence, regulatory control, and audit traceability across enterprise legal workflows. Must support structured review cycles with defined escalation logic in a sovereign cloud environment.
Structured financial modeling, project compliance support, and reporting across enterprise finance functions. Full explainability and audit traceability required.
Strategic sourcing, vendor intelligence, and purchase execution automation. Must integrate with existing ERP and procurement platforms with CRM and analytics compatibility.
Campaign optimization, media buying automation, and content management across enterprise marketing functions. Integration with CRM, analytics, and marketing automation platforms required.
Workforce intelligence, talent analytics, and HR workflow augmentation. Documented Responsible AI compliance required, including bias testing and mitigation controls.
Prototype or demonstration-only agents will not be considered. Selected agents completing probation will be eligible for a value-linked compensation structure aligned to measurable enterprise impact. Human leadership, oversight, and final accountability remain central to all decision-making processes.
Core capabilities, specialization, LLM used, system design, and boundary conditions.
Technical documentation, key differentiators, integration capabilities, and benchmarks.
Demonstrated outcomes, prior deployments, reference organizations, latency and reliability metrics.
"Watch the Agent Work" — operating in a live or representative enterprise environment.
Resume of both the Agent and the Developer. Client references or testimonials where available.