The future of email doesn't need one.
Gmelius puts AI agents in Gmail to complete tasks across interconnected apps, powered by Meli, the AI Chief of Staff that knows your clients and your business.












Every other tool races to help you read, sort, and draft faster. But email is still bogging you down. Gmelius takes the work out of your queue entirely — and does it across every app you use.
The inbox as you know it is ending.
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
Last updated on September 26, 2026.
The agents that act, the memory they act from, and your team that sets the rules.

They read what arrives in the inbox, pull the context, and take the next step towards task completion: update the CRM record, send the document, book the slot, reconcile the invoice, close the loop, or any other custom step.

Every client, every commitment, every way your team actually works, and your operational patterns are modeled and kept current by Meli. Our AI Chief of Staff ensures the agents act correctly according to rules and context.

You decide what matters. Agents act when they're sure and hand off when they're not — with the full reasoning, sources, and context visible every time for 100% explainability.
One thread, four steps, no queue in the middle.
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 AI agents work with our system?" Almost certainly. Gmelius lives inside Google Workspace and can run inside every tool around it. Users can improve virtually any process with 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.
An AI agent is software that can take a goal, decide the steps, and carry them out across your tools, instead of just answering a prompt. Unlike a chatbot, an agent acts: it triages emails, updates your CRM, drafts replies and follows up. In Gmelius, AI agents work inside Gmail, and your team keeps control over what they can do.
Gmelius is a Gmail-native platform where you build and run AI agents for your team. Each agent handles a defined job, such as triaging a shared inbox, qualifying leads or chasing invoices, and acts across your connected tools. Meli, the AI Chief of Staff, gives every agent the context it needs about your clients and your business. Your team decides. Agents do.
Business Gmail helps a person read and write email faster. Agentic mail gives the work in the inbox to AI agents that own it end to end: they sort, route, reply, update other tools and follow up, with human approval where you want it. Gmelius adds this agentic layer on top of Google Workspace, so your team keeps using the Gmail it already knows.
You build an AI agent in Gmelius by describing its job in plain language, choosing the inbox it watches, and connecting the tools it can act in. You then set its guardrails: which actions it takes on its own and which need a teammate's approval. No code is required, and the agent runs directly inside Gmail and your other connected apps.
Teams that run client work over email benefit most from AI agents for Gmail. That includes healthcare practices, property managers, logistics and transport operators, and service businesses that handle high volumes of requests, bookings and follow-ups. If your team shares inboxes, hands work off between people, or copies data from emails into other tools, agents can take that work off your plate.
Gmelius has no fixed limit on the number of AI agents you can build. Most teams start with one agent for their busiest workflow, like inbox triage or client follow-ups, then add agents as they see results. Each agent is added to your workspace alongside your human teammates, so you scale automation the same way you scale your team.
Meli is Gmelius's AI Chief of Staff, the intelligence layer behind every agent. Meli learns how your team works: your clients, your history, your priorities. Agents then use that context to do the right thing, not just the fast thing. Other tools bolt AI onto email. Gmelius runs on Meli.
Meli and your AI agents work together inside Gmail. You can ask Meli about any client, thread or deal and get answers grounded in your team's full history. Meli can also hand tasks to the right agent, like "follow up with every client who hasn't confirmed." Meli provides the context. Your agents take the action. Your team approves what matters.
Gmelius processes your data only to deliver the service you configure, and never uses it to train AI models. Each workspace's data is kept isolated, sensitive data is redacted before AI processing, and Gmelius complies with Google's API Limited Use requirements. HIPAA BAAs are available for healthcare teams, and you control what Meli and your agents can see.
Gmelius AI agents are a paid feature, and each plan includes a monthly allocation of AI credits. Agents run on Google's latest Gemini models, which fit naturally with Gmail and Google Workspace. On Enterprise plans, you can choose specific models, including open-weight models, to meet your own security, compliance or data residency requirements.