Outcome engineering tools for enterprise teams building with AI. Get clear on what success looks like — before a model touches the problem.
Score your team on how it actually ships AI — Think, Build, Verify, Automate, Scale. See where the gaps are before you invest in the wrong thing.
You’ve got candidates. Which one do you actually bet on? Score each against clarity, value, feasibility, and readiness — and see the list rerank.
Ten fields that turn vague intent into a clear outcome spec — before anyone touches a model.
Spec an agent the way it’ll actually be built. Ten fields that turn “we need an AI that…” into something an engineer can ship.
The Agent Canvas gives you a platform-agnostic spec. Platform variants add specific mappings and export formats — paste directly into the tool you're building with.
Platform-agnostic. Export as markdown. Paste into any AI tool.
Rovo Studio mappings, scenarios, conversation starters. Confluence export.
Topics, actions, Data Cloud references. Agentforce config export.
System prompt, Projects structure, tool definitions. Ready to paste.
Topics, knowledge sources, plugin config. Microsoft ecosystem ready.
The pattern is extensible. Same canvas, new mappings. Get in touch.
Resources for workshops, team enablement, and hands-on AI work. More coming as we build.
Built by Alex Goumans at EPAM Applied AI. When your team needs hands-on help — facilitated assessments, outcome engineering workshops, or end-to-end implementation — that's what we do.