Problem
A fast-growing consumer brand was running significant parts of its operation on manual, disconnected processes — steps that worked, but only because people were holding them together by hand.A fast-growing consumer brand was running significant parts of its operation on manual, disconnected processes — steps that worked, but only because people were holding them together by hand.
One of those workflows was substantial enough to occupy a $180k/year role: a full-time job whose core output was moving information from one place to another, correctly and on time.
One of those workflows was substantial enough to occupy a $180k/year role: a full-time job whose core output was moving information from one place to another, correctly and on time.
Solution
A two-year engagement, structured as an ongoing partnership rather than a single platform delivered once and handed over.A two-year engagement, structured as an ongoing partnership rather than a single platform delivered once and handed over.
We took the manual processes in turn and replaced each with an internal tool built around how that team actually worked — shipped fast, put in front of real users, then refined against how it was genuinely being used rather than how it was specified. Alongside the tooling, we kept the roadmap pointed at where AI capability was actually heading, so each build stayed useful as the ground moved underneath it.
We took the manual processes in turn and replaced each with an internal tool built around how that team actually worked — shipped fast, put in front of real users, then refined against how it was genuinely being used rather than how it was specified. Alongside the tooling, we kept the roadmap pointed at where AI capability was actually heading, so each build stayed useful as the ground moved underneath it.
An internal tool built in days replaced a $180k/year role.An internal tool built in days replaced a $180k/year role.
Two years in, the tools are still in daily use by the teams they were built for — the measure that matters most for internal software, and the one most internal software fails. In the words of Greg Brown at Dude Wipes: "Imaginary Space has been a genuine multiplier for our business. Over two years, they've turned manual, disconnected processes into real tools our teams use every day, while keeping us ahead of where AI is actually going."
Two years in, the tools are still in daily use by the teams they were built for — the measure that matters most for internal software, and the one most internal software fails. In the words of Greg Brown at Dude Wipes: "Imaginary Space has been a genuine multiplier for our business. Over two years, they've turned manual, disconnected processes into real tools our teams use every day, while keeping us ahead of where AI is actually going."
Result
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