Unlike auto reply tools that use generic templates or pattern matched responses, Reply Orchard runs a multi-agent AI system (agents for triage, moderation, reply generation, and quality checking) that grounds every reply in your brand's actual product and policies. It checks its own quality before anything publishes, and you choose how much control to keep, from approving every reply to letting it run fully on its own.
Hi everyone,
Jose here, founder of Reply Orchard. We built this because we were running multiple brands across Social media platforms and comments and DMs were piling up faster than we could keep up with (1,000+/day). Every one we missed was a customer we lost.
We started with a single reply agent, but quickly realized one model that to achieve the quality we were looking for, that would not be enough. We rebuilt it as a multi-agent system, separate agents for each stage, with a grading layer that checks every reply against the brand's voice before it publishes.
Happy to answer anything about how it works or what we learned building it.