Every consultant knows the drill. You land a new client, and before you can deliver any value, you spend a week rebuilding the same AI prompts, the same workflows, the same guardrails — from scratch.
That frustration is why FlowManner exists. Our founder spent years as a strategy consultant, watching the same pattern repeat across dozens of engagements. The tools were powerful, but every team was solving the same problems in isolation, with no way to capture, refine, and reuse what worked.
So in 2025, we started building. The goal was simple: let consultants build AI workflows once, run them forever. Plan before you execute. Watch every step live. Then let the system learn from each run and suggest improvements for the next.
Today, FlowManner supports 12 LLM providers, ships with 50+ pre-built agents, and runs on an open-source core. We believe AI should amplify your expertise — not replace it, not complicate it, and definitely not lock it behind someone else's infrastructure.
AI should never act without a plan you can review, edit, and approve. Every workflow generates a step-by-step mission plan before a single token runs — because trust starts with transparency.
You should always know what your AI is doing and why. Live execution logs, reasoning traces, and step-by-step visibility are not premium features — they're the baseline of responsible AI tooling.
We don't train on your conversations. We don't lock you into a single provider. Bring your own API keys, run locally if you want, and keep complete control over every byte of your data.
A small team of consultants, engineers, and designers who've felt the pain of fragmented AI workflows firsthand.
Former strategy consultant. Built internal AI tools at three firms before starting FlowManner to fix the industry's workflow problem.
Systems engineer specializing in multi-agent orchestration. Previously led ML infrastructure at a leading AI research lab.
Product leader with a decade in B2B SaaS. Obsessed with making complex AI capabilities feel effortless for end users.
Editorial-first product designer. Believes great tools should feel like reading a well-typeset book — clear, calm, and confident.
No credit card required · Open source core on GitHub