AI-powered software that helps organisations actually understand how their people feel during change — before go-live, not after.
Organisations invest millions in new systems and almost nothing in understanding whether their people are ready to use them.
The profession got obsessed with producing documents. AI turbocharged document production. Nobody fixed the actual problem.
Spend the majority of their time producing PowerPoint decks for steering committees that don't change a single person's behaviour. Communications plans. Stakeholder matrices. Readiness dashboards. Activity mistaken for impact.
Automated the outputs of a broken process. Faster communications plans. Auto-generated stakeholder maps. AI that produces the wrong thing, quicker. The market got this completely wrong.
"AI is not a change manager. It cannot read the room. It cannot sit with a resistant team and understand what they're actually afraid of. It cannot tell the difference between silence that means acceptance and silence that means nobody feels safe enough to speak."
Change Made Simple builds tools that help organisations hear what their people are actually saying — and understand what it means.
Built entirely by a non-technical founder on Claude API and Cloudflare Workers. Proof of concept and proof of founder.
AI-powered assessment that diagnoses people-risk by team in minutes. Produces a heat map, expert insight, and prioritised recommendations.
Takes Scorecard results and generates a 7-section team-by-team action plan. Practical, human, specific to each team's emotional reality.
The Scorecard and Action Plan are diagnostic. The next phase closes the feedback loop — making genuine listening scalable at project scale.
Organic traction from zero marketing spend. The tool finds its own audience.
Every organisation running a technology implementation needs this. Most of them are currently flying blind.
The timing has never been better — or more urgent.
From 1 December 2025, poor change management is a named psychosocial hazard under Australian WHS law. Boards must demonstrate due diligence on the people side of change. The town-hall-and-done approach is no longer legally defensible.
Large language models can now hold nuanced conversations, interpret sentiment in context, and produce outputs a senior practitioner would recognise as expert. The technical capability to build this didn't exist three years ago.
73% of organisations are at or beyond change saturation. AI adoption is accelerating the pace of change across every sector simultaneously. The problem is getting bigger, not smaller.
Every AI change tool that launched in 2024-25 automated the wrong thing. The market is wide open for tools built by a practitioner who understands what change management actually needs to do.
We have the domain expertise, the live product, and the market insight. We need the infrastructure to scale it.
To build the next phase of the product — anonymous feedback loops, meeting analysis, sentiment tracking. Features that require engineering capability beyond what a solo non-technical founder can build alone.
Someone who can build the infrastructure this product needs at scale. The vision is clear, the methodology is proven, the market is validated. We need the technical partner to execute it properly.
Access to enterprise buyers, consulting firms, and government channels. The product sells itself once the right people see it — we need doors opened into the organisations that need it most.
Antler's endorsement signals to the market that this is a serious software company, not a consultant with a tool. That distinction matters enormously for enterprise sales and partnership conversations.