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In development work, organisations tackling similar problems often build their solutions in parallel without much visibility into what others have already tried. Enterprise Monkey, an Australian AI consulting, governance, training and development firm based in Geelong, sees that fragmentation as one of the harder constraints on progress in the sector, and has built its newest platform around it. The platform, Agents for Humanity, is what the company brings as a finalist of the AI for Good Innovation Factory, the United Nations startup pitching and acceleration platform organised by the International Telecommunication Union (ITU).
Enterprise Monkey, founded in 2014 and led by AI strategist Aamir Qutub, has spent the last decade delivering AI strategy, autonomous agents and automation work for clients across government, education, healthcare and enterprise. It is ISO 27001 certified and has publicly committed to responsible and ethical AI practices. Agents for Humanity itself is a free, open-access commons where NGOs, charities, foundations and faith-based organisations can submit development challenges and receive solutions generated through donated AI agents.
The Innovation Factory exists to surface AI-driven ventures tackling pressing global challenges and to connect them with investors, governments and the wider tech ecosystem. Its progression culminates each year at the AI for Good Global Summit, where standout startups pitch for the Grand Finale’s $20,000 cash prize. The 2026 Summit takes place from 7 to 10 July in Geneva, register here.
Enterprise Monkey frames its work around three shifts: “pooled cognition instead of isolated effort,” “structured deliberation instead of single-shot AI answers,” and “implementation rather than just insight.”
Enterprise Monkey believes progress on many development challenges is often slowed less by a shortage of ideas than by a shortage of shared knowledge. The company sees organisations working on similar problems with limited visibility into existing solutions and implementation approaches, with the result that effort gets quietly duplicated and limited budgets that could be spent on delivery end up spent on rediscovery. Agents for Humanity is positioned as the alternative: a shared repository of solutions and implementation resources that organisations can build on rather than restart.
The mechanics are designed to be accessible to non-technical users. An NGO submits a problem. The platform breaks it into sub-problems and runs parallel research streams across them, building up a shared AI knowledge base that successive submissions can draw on. Multiple AI agents propose solutions, and other agents critique and steel-man them. Citations are verified rather than assumed. A council of agents votes on the strongest direction, and the system synthesises a final proposal alongside an implementation toolkit, with templates, checklists, scripts and deployment materials. Every output is open, auditable and free to use.
The unusual part of the model is how it is powered. Rather than relying on a single sponsoring lab, Agents for Humanity runs on AI agents donated by individuals with paid Claude subscriptions, who allow their entitlements to be pooled into work for the platform. Donation is treated as a primary input. The system depends entirely on those donations, and each additional contributor expands the platform’s capacity to take on more NGO submissions and to deepen the shared brain that future solutions draw on.
The platform has gone through eighteen months of development and eight pilot programmes in India, and the company has three years of operational funding secured. A global launch is scheduled for July 2026, with simultaneous availability across Australia, India, the United Kingdom and the United States. The team behind it spans those geographies: Qutub in Australia, co-founders Steve Berg, an ed-tech and fintech founder with more than two decades of leadership experience, and Scott Brown, a company director and serial technology founder, alongside Dr Nida Qutub, who holds a PhD in nanotechnology and leads research-to-implementation work, including grassroots education programmes in India.
The hardest part of the project, Qutub argues, is not the engineering. It is reach. The platform’s first audience is NGOs, charities, faith-based organisations and frontline workers who need support but may not know it exists. Its second is people willing to donate AI agents and resources. Enterprise Monkey believes both depend on trust rather than performance marketing, and on partners that can vouch for the work.
“We need amplification — partners, media, communities, and ambassadors who will carry the message into rooms we cannot enter ourselves,” the company says.
The company also pushes against the texture of the wider AI conversation, which it sees as pulled toward threats, copyright disputes and hype cycles rather than the slower question of how AI can be directed at development challenges. Whether or not that framing shifts at industry level, Enterprise Monkey’s view is that there is room for a platform openly oriented toward implementation, and that institutional partners are willing to back it.
That conviction is part of why the company joined the AI for Good Innovation Factory. Qutub describes Agents for Humanity as fundamentally a multilateral initiative, and points to three reasons for participating: access to the NGOs, governments, foundations and implementing organisations that ITU convenes; the credibility and accountability that come with engagement in the AI for Good ecosystem; and the partnerships that the Innovation Factory makes possible across regions and sectors. In his framing, “the people Agents for Humanity is built for — NGO leaders, foundation programme officers, faith-based organisations, government delivery teams, frontline implementers in low-resource settings — are exactly the audience the ITU convenes.”
With the July 2026 global launch ahead, the work is shifting from building to distribution. The company’s longer-term ambition is for Agents for Humanity to function as a shared resource that organisations can draw on when addressing development challenges, growing more useful with every problem submitted and lowering the threshold at which a small organisation can do high-quality implementation work. Enterprise Monkey has designed the platform to be globally accessible from day one and capable of supporting multiple languages, a deliberate choice to keep the rollout from being constrained by region or jurisdiction.
As Aamir Qutub, founder of Enterprise Monkey, puts it: “AI was built for humanity. Somewhere along the way, it lost the plot. It’s time we bring it back.”
With less than 30 days remaining until the AI for Good Global Summit, now is the time to secure your place among the world’s leading innovators, entrepreneurs, investors and AI experts. Join us to discover cutting-edge technologies, connect with the startups shaping the future, and witness the Innovation Factory Final Pitching Competition, where some of the most promising ventures will present their solutions to an international audience. Whether you are looking for partnerships, investment opportunities or insights into the latest AI developments, the Summit offers a unique platform to engage with the ideas and people driving change.
