Most organizations don’t have a strategy problem. They have a ground truth problem. The people closest to the work already know what will derail an initiative — but that knowledge is filtered, diluted, or never asked for. By the time leadership sees the problem, it’s a crisis.
Actual started from a simple observation: 70% of strategic initiatives fail, and in nearly every case, someone on the frontline saw it coming. The experiment is whether you can close that gap structurally — not with better surveys, but by building intelligence that unfolds alongside the initiative itself.
What we’re learning
The most interesting finding so far is about perception gaps. When you hear managers and frontline teams separately, then compare, the differences are precisely where transformation risk lives. Everyone sees a different reality. The gaps between those realities aren’t noise — they’re signal.
Single assessments miss this entirely. You need longitudinal data — tracking how readiness, resistance, and momentum change as the initiative evolves. Trajectories predict outcomes in ways that snapshots can’t.
We’ve also been testing what we call the Disappearing Platform Test: success means organizations develop lasting capacity to hear their people, and eventually need the platform less. Building technology that aims to make itself unnecessary is an unusual design constraint, but it’s the honest one for this problem.
Where it is now
Programs run in phases over months across multiple stakeholder groups. AI synthesizes patterns and generates reports — the analysis is sophisticated, but the decisions stay with humans. Multilingual and designed for programs that cross borders and organizational cultures.
Built for consulting firms running transformation programs and enterprise organizations sponsoring strategic initiatives.