Our team ran AI transformation inside a 1,000-person technology enterprise before founding Sinusoidal, and learned what sticks by getting it wrong first.
Your workflow today
10x business ROI quality, efficiency, etc
Deeply understand today’s workflow first Map how the work actually happens today. Then reimagine the process from first principles under the new technology and its different assumptions, instead of just automating what's already there. Turn tribal know-how into reviewable “skills” Redesign an undocumented process into discrete, human-reviewed skills, each with its own inputs, outputs, and prompt engineering. Wire it in without loosening security Connect the SaaS tools those skills depend on, and run them in the cloud to the same compliance and uptime bar as anything else IT owns. Get past “AI slop” to a real v1 The challenge is getting past “AI slop” to a v1 people actually trust, which means watching what they edit and why, then codifying that tacit knowledge and business logic back into the skill until it stops needing the correction. Enable the team to run it The handoff only sticks once collaborating with the system feels natural, like working with a teammate that has its own identity, not operating a borrowed tool. Win over a workforce with reason to be skeptical Every employee affected has legitimate reasons to distrust this; buy-in has to be earned, not assumed. Tie it to a number finance signs off on Connect the whole effort back to a cost and a business outcome finance will actually approve. Your workflow today 10x business ROI
Deeply understand today’s workflow first Map how the work actually happens today. Then reimagine the process from first principles under the new technology and its different assumptions, instead of just automating what's already there. Turn tribal know-how into reviewable “skills” Redesign an undocumented process into discrete, human-reviewed skills, each with its own inputs, outputs, and prompt engineering. Wire it in without loosening security Connect the SaaS tools those skills depend on, and run them in the cloud to the same compliance and uptime bar as anything else IT owns. Get past “AI slop” to a real v1 The challenge is getting past “AI slop” to a v1 people actually trust, which means watching what they edit and why, then codifying that tacit knowledge and business logic back into the skill until it stops needing the correction. Enable the team to run it The handoff only sticks once collaborating with the system feels natural, like working with a teammate that has its own identity, not operating a borrowed tool. Win over a workforce with reason to be skeptical Every employee affected has legitimate reasons to distrust this; buy-in has to be earned, not assumed. Tie it to a number finance signs off on Connect the whole effort back to a cost and a business outcome finance will actually approve. If any challenges sound like what your team is running into, our blogs below show how Sinusoidal can help as your AI transformation partner.