Founder

Manny (Manuel Re) Strategy, governance, and practical advantage in AI and technology.

I am a strategic and technical programme leader with over 15 years of experience delivering complex ERP, CRM, and cloud migrations for enterprise organisations. I work at the intersection of business outcomes and technical reality, turning big ambition into plans that ship, survive governance, and earn trust.

My edge comes from three foundations: deep AI capability across modern copilots and agentic workflows, structural governance that keeps delivery accountable and safe, and people leadership that helps teams adopt change without losing judgement, craft, or wellbeing. I use automation and AI assisted delivery to reduce cycle time and lift quality, while keeping privacy, security, and ethics in the design from day one.

Company 31 exists to help leaders move faster with confidence, not chaos.

AI strategy Governance and PMO Transformation delivery People first adoption
Manny (Manuel Re), founder of Company 31
Sydney, NSW
Operating principle
Progress, without collateral damage.

If AI increases speed but reduces judgement, trust, or craft, it is a bad trade. I help teams capture the upside while protecting the things that make organisations great.

Focus
AI and delivery
Mode
Pragmatic and ethical
Founder note

The human edge is not optional.

The fastest organisations will not win by adopting the most tools. They will win by building better judgement, stronger governance, and healthier operating habits.

“AI is powerful. The real leverage is how a team thinks, decides, and delivers under pressure.”

Company 31

Ethics by design

Privacy, governance, and risk are built in from day one without slowing delivery to a crawl.

Continuous learning

I test new tools, patterns, and workflows constantly, then translate them into practical guidance teams can use.

Governance that scales

Delivery systems that survive growth: decision rhythms, measurement, and visibility that leaders trust.

Speed with substance

Prototypes matter only if they are fit for reality: data, security, usability, and adoption.