About Decided
We built Decided after seeing false alignment at scale
Decided began with a problem its founders had lived: a company can work hard, report progress, and still move in different directions. Decided runs recurring private 1:1 AI voice check-ins and highlights where priorities and decisions appear to diverge.
Decided supports coordination—not hidden monitoring, employee surveillance, or performance scoring. People remain responsible for every decision and action.
The problem
Everyone can agree and still leave with a different plan
Leadership says A. Managers hear B. Teams build C.
Meetings end with nods. Dashboards turn green. Yet priorities drift, decisions disappear, and problems stay quiet until they become expensive.
Everyone believes the company is aligned. The work says otherwise. We call this false alignment.
The hardest part about scaling a business from $10 million to $100 million is orchestrating hundreds of humans to work together, in concert…
Why we started
We built the product we could not buy
Before Decided, its founders built Fundraise Up from zero into a company valued at more than $1 billion, with roughly 400 people.
We lived the problem
Meetings, managers, dashboards, and operating processes all helped. But important context still disappeared between leadership intent and day-to-day work.
Reconstructing what people had understood, what had changed, and what needed a decision remained a manual job.
So we started Decided
We wanted a system that could ask people directly, compare synthesized patterns across teams, keep decisions and commitments visible, and route relevant context to people who can act under visibility rules set before rollout.
The output had to support human judgment, not replace it. We could not buy that system, so we started Decided to build it.
Why now
AI is increasing the volume and speed of work. Teams can produce more code, campaigns, and analysis—and face more decisions in less time—but AI does not keep a company coordinated by itself. Without a stronger alignment layer, more output can create more drift.
The same technology now makes recurring private conversations, cross-team synthesis, and structured follow-up practical. Before rollout, participants should understand why check-ins happen, what is captured, who can see each routed output, and how it will be used. Leaders work from synthesized patterns, not unrestricted raw transcripts. People decide what happens next.