Your process. Your agents. Your humans always in the loop.
DecisionGraph is the product-development platform for teams building with AI who want to move fast without losing control.
The speed of development changed. The ceremony around it hasn't caught up — and keeping the old cadence while building at AI speed is starting to strain. The honest question every team is asking: does Agile still make sense?
It does — the framework still holds. Start with requirements. Break them into epics and stories. Scope the effort, knowing the meter has changed dramatically and everyone has to recalibrate to the new pace. You're not abandoning Agile; you're rebuilding your process around the parts that still earn their place.
AI flipped the economics of building software. When a working prototype costs an afternoon instead of a quarter, you put one in front of reviewers early — they see what works, what still needs work, and steer while it's still cheap to steer. You correct before you go live, instead of after you're too committed to change course.
Start from the voice of the customer, not a hunch — with a business case behind each decision. Specs break into ready, estimated work using whatever your AI model does best today, not a frozen version we bolted in.
Each piece goes to the coding agent you already use — Claude Code, Cursor, Codex — with the full reasoning, not just the task. It comes back already AI-reviewed, so your people spend their judgment where it counts.
Decisions, work, and reasoning stay connected — so when a prototype diverges from the strategy, you see it early, while it's still cheap to change, and you know why. Sometimes the build drifted; sometimes the build was right and the plan wasn't. A strong prototype tells you which is true.
Because the highest-fidelity signal — the prototype your team approved — is already built on production code, developers don't start by rebuilding it. The structural work is done. Their time goes where it's worth the most: hardening, refining, and engineering the output to meet their standards — not reverse-engineering a mockup into something shippable. The skilled work stays skilled.
DecisionGraph doesn't ship its own agent or trap a model inside our app. We're the connective tissue for the agents you already use — and the labs improve those faster than any vendor ever could. Every tool that builds its own spec-writer or coding agent is betting against the frontier; we bet with it. Your tooling gets sharper every week without us lifting a finger — and the graph keeps the reasoning that makes each pass smarter than the last.
Teams building with AI coding agents — or ready to start.
Pragmatic about process: they want rigor without ceremony.
Move fast on purpose, but refuse to fly blind.
Believe in failing fast — and want it to actually pay off.
You don't have to choose between moving fast and knowing what you're doing. DecisionGraph gives you the framework to do both — the structure comes from the work itself, so the faster you go, the more control you have, not less.