Five steps from a dozen disconnected inboxes to one accountable queue. Setup is configuration, not engineering — and once it is done, the system works whether or not anyone is watching it.
Link each product’s Gmail with OAuth, drop the chat widget into the app, and connect the product database and its Stripe account. Products register dynamically — adding the eleventh app is a configuration step, not a deployment.
Every inbound message runs the pipeline: detect language, resolve the customer across all products, pull spend and refund history, retrieve similar resolved tickets and relevant code, then draft. The reviewer receives the draft with its reasoning trace, a confidence score, and flags on any claim the pipeline is unsure about.
Agents approve, edit, or reject with the reasoning in view. Edits are captured as training signal; rejections require a reason. Every action — who, what, when — is written to an immutable log.
SLA timers start on arrival and drive queue order. Breaches alert before they happen. A ticket cannot close without a valid resolution note, and approvals that arrive faster than a human could read get flagged.
A daily summary lands with volume, response times, breaches, refunds, and emerging themes across the portfolio. Real-time alerts fire only for things that need a person right now.
Stages are configurable from the UI. Add a step, swap a model, change a prompt — no redeploy.
