Navigating AI Transformation with Anthromorphic

Anthromorphic exists to provide a human centred approach to implementing AI in enterprises, ranging from small enterprises (between 0-5m revenue) to larger ASX 200 companies. Our core beliefs are -

1. Lead with delivery - It is easy to do PoC and build shiny tools, it's hard to build AI solutions that actually work in production at scale and generate revenue. As per MIT's research (September 2025), 95% of AI implementations in large organisations fail or don't generate expected RoI. As the saying goes, 'ideas are cheap, execution is expensive' - we will take an execution based approach to AI implementation, ensuring that there is appropriate reason and rationale to take an AI first approach to a problem. This often means the answer has nothing to do with AI, but improving existing core business processes.

2. Reimagine processes and business models - In our experience, the secret to successful AI implementation is not just technology, but the people and processes around the technology. In a world where the intelligence layer becomes commodified, the people and processes that integrate into the intelligence layer make the difference.

3. Build organisational resilience - The world is heading towards a 'hybrid' workforce, the sooner organisations can adopt and stay ahead of the upcoming change, the more they will benefit and get a sustainable competitive advantage over others in the same industry and segment. This means reimagination of existing roles and role archetypes, reimagination of technology stack and ways of working. There is existing change fatigue already embedded in civilisation, given the pace of digital change in the last 10 years, the bad news is this is just starting to ramp up. The good news is it will create massive economic opportunity at a macro level due to the technology effect. The trick will be to ride the wave and not get crushed by it.

4. Focus on human-computer interaction - The first impactful HCI paper I recollect coming out of Stanford was in 2023 (worth a read - https://arxiv.org/pdf/2304.03442). The paper talks in depth about using LLMs to simulate how humans would behave.The implications on research, organisational decision making, behavioural science and general anthropomorphism is tremendous.

   The name of the company has been inspired by the above beliefs and the blurring lines between what humans can do and what technology can do in today's world. We hope to keep humanity at the heart and centre of what we do and the approach we take to building AI first companies and solutions.