L'avenir de l'e-mail n'en a pas besoin.
Meli, votre chef de cabinet IA, connaît vos clients et comprend le fonctionnement de votre entreprise. Les agents Gmelius exécutent le travail. Votre équipe se concentre sur les décisions, pas sur la gestion de la boîte de réception.
Tous les autres outils rivalisent pour vous aider à lire, trier et rédiger plus rapidement. Mais un e-mail traité plus vite reste un e-mail. Gmelius (Gmail-ius) élimine totalement le travail de votre file d'attente, et ce, sur tous les outils que vous utilisez.
La boîte de réception manuelle touche à sa fin.
Approuvé par plus de 10 000 équipes qui coordonnent des millions d'échanges clients chaque mois.
Trusted by 10,000+ teams coordinating millions of client conversations every month.
of routine client requests resolved without a human touch
given back to each teammate every week
median time from email arriving to action taken
of actions logged, sourced, and reversible
Indicative figures
"We replaced a shared inbox and two ops hires with Gmelius, and answered 63% faster."
faster first response
ops hires not needed
client threads handled monthly
Three parts. The agents that act, the memory they act from, and your team that sets the rules.
They read what arrives, pull the context, and take the real step: update the CRM record, send the document, book the slot, reconcile the invoice, close the loop.
Every client, every commitment, every way your team actually works modeled and kept current. Meli is why the agents act correctly instead of guessing.
You decide what matters. Agents act when they're sure and hand off when they're not — with the full reasoning, sources, and context attached.
Un fil de discussion, quatre étapes, aucune file d'attente intermédiaire.
Meli is the model of how your business actually operates: who your clients are, what you've promised them, how your team gets things done, what happened last time. It's built from your real work, not just your docs, which is why our agents act with judgment instead of reciting a help article.
Competitors can describe a knowledge layer. They can't copy yours, because yours is made of your operations, and it gets sharper every time your team works.
Quote requests, status checks, and exceptions flood ops@. Each one is a lookup across the TMS, the CRM, and a dozen carrier threads.
Agents fetch the shipment status, draft the quote, update the record, and respond — escalating only the genuine exceptions.
median response time on status and quote requests
Referrals, scheduling, and records requests pile up across care@. Every one needs context from three systems before anyone can reply.
Agents pull the patient record, confirm availability, book the slot, and update the care system — then reply with the trail attached.
of coordination time returned to your staff each week
Resident requests, vendor scheduling, and lease questions land in one shared inbox and bounce between property managers for hours.
Agents identify the unit and resident, dispatch the right vendor, log it in your PM system, and close the loop with the resident.
of resident requests resolved on first touch
"Will it work with our system?" Almost certainly. Gmelius lives inside Google Workspace and acts in every tool around it. MCP out of the box, API for the rest, connectors on request.
Custom connectors for your in-house systems can be developed on demand under an Enterprise plan.
A standing instruction that runs on its own: watch for this, do that, tell me if something goes wrong. You set it up once and it handles that job from then on without being asked again.
A standing instruction that runs on its own: watch for this, do that, tell me if something goes wrong. You set it up once and it handles that job from then on without being asked again.
A standing instruction that runs on its own: watch for this, do that, tell me if something goes wrong. You set it up once and it handles that job from then on without being asked again.
Put Gmelius on it and watch the queue empty itself.
