Origin Story
Orgtools was founded by Travis Truett, a software engineer and entrepreneur based in Seattle. Previously, he was the founding CEO of Ambition which he grew from zero to eight-figure revenue, serving both start-ups and global enterprises like Cisco, FedEx, Verizon, and Zoom.
As the company scaled Travis began to conceptualize what would eventually become Orgtools, driven by the recurring challenges faced driving alignment and execution across an increasingly complex organization.
After stepping back from Ambition, a planned sabbatical quickly turned into nights and weekends writing code, fueled by growing conviction in the opportunity taking shape.
Orgtools subsequently launched in spring 2025 with a mission to help companies make better, faster decisions.
What We Believe
Organizations underestimate how hard it is to maintain decision-making velocity as they scale.
More stakeholders mean more voices to align. More departments create more silos. Indecision becomes the path of least resistance. Eventually, people either accept the paralysis or break away - making decisions alone, without context or communication. You get the worst of both worlds: nothing gets decided, and when it does, it's poorly coordinated.
We're building tools to help organizations build and sustain decision-making velocity as they grow.
Organizations turn to project management too early, before they've operationalized decision-making.
Growing teams naturally gravitate toward task tracking and project management software. But optimizing how work gets done before clarifying what work should be done creates well-managed dysfunction. Tasks without clear decisions behind them become busy work at scale.
And this problem is getting worse: AI makes execution faster which means the new constraint and highest-leverage work isn't doing, it's deciding.
We're building tools to help organizations lay the decision-making foundation that makes project management impactful rather than overwhelming.
The organizations that win with AI will have the best institutional memory.
AI doesn't just need data — it needs context, reasoning, and history. Organizations that capture how and why decisions are made will outpace those treating every choice like a blank slate.
When teams record their thinking — the tradeoffs, outcomes, and lessons — their AI systems get smarter, and their people do too. They move faster, avoid repeat mistakes, and make decisions that compound over time.
We're building tools that turn decision history into AI advantage.
Most decisions need a quarter of the meetings and half the stakeholders.
"Founder mode" isn't micromanagement - it's real-time awareness and course-correction. Knowing what's being decided and stepping in when necessary, with context.
We need a better source-of-truth for decision-making. Too many decisions are tied to people instead of process. What gets remembered and enforced depends on who was in the room — and when those people leave, institutional knowledge walks out the door with them.
It might seem counterintuitive that better, faster decisions require more software. But decision-making is hard... often emotional and overwhelming. The structure and context software provides are worth the extra login.