How to roll Claude out to a non-technical team, the use cases that pay off first, and ROI benchmarks.
AI Email Assistant for Gmail - An AI email assistant for Gmail that drafts replies right in your inbox
Sandlabs builds an AI email assistant for Gmail and Google Workspace that triages your inbox by priority and drafts a grounded reply from your own answers — as a native Gmail draft for a human to approve and send. Ideal for shared inboxes like info@ and support@.
- Native drafts & labels
- Gmail
- You approve — never auto-sent
- Draft
- Grounded, not guessed
- Your KB
- Data residency available
- AU
Where gmail teams lose time today
- A shared Gmail inbox (info@, support@, bookings@) where urgent mail is buried and no one clearly owns the queue.
- Staff retyping the same Gmail replies to the same routine questions all day.
- Native Gmail AI summarises and smart-replies, but it does not know your prices, policies, or booking rules.
- Slow responses from the shared inbox losing leads and frustrating customers.
- Inconsistent answers depending on which team member opened Gmail first.
- After-hours mail sitting in the inbox until the next business day.
AI workflows for gmail teams - What we build for gmail teams
Every engagement is fixed price and founder-led. We scope, ship, and support — typically 2–8 weeks from kickoff to production.
- Triage the Gmail inbox. Via the Gmail API, every new message — including shared-inbox mail — is classified by priority and labelled, so your team sees what matters first.
- Draft grounded replies. The assistant retrieves the right answer from your own knowledge source and drafts a reply from it — accurate and on-policy, not a generic Gmail smart-reply.
- Native Gmail drafts. Replies appear as real drafts in the correct Gmail thread. A human reviews and sends — nothing leaves without approval.
- Shared inbox ready. Built for info@, support@, and bookings@ shared inboxes, with priority labels applied so the whole team works from one prioritised view.
- Your tone and rules. Category rules and reply tone are tuned to your business so Gmail drafts read like your team and follow your policies.
- On-shore and private. Least-privilege Google Workspace access, no training of public models, and optional AU data residency so inference runs in Sydney under a clear data agreement.
Why Sandlabs - More than Gmail smart-reply
Gmail’s built-in AI is good at generic suggestions, but it does not know your business. We ground every Gmail draft in your own pricing, policies, and FAQs, keep a human in the loop, and make it work for the shared inboxes Gmail’s native AI ignores.
- Grounded in your answers. Gmail drafts come from your knowledge source, not a generic model, so they are correct and on-brand.
- Native to Gmail. Drafts and priority labels live in your Google Workspace inbox. No new app, no migration.
- Shared-inbox first. Designed for info@, support@, and bookings@ — the busy queues that need triage most.
- Human approves every send. A wrong or stale reply never reaches a customer because a person always sends.
- AU data residency available. Inference can run on-shore in Sydney via AWS Bedrock, under a documented data-processing agreement.
- Set up for you. Founder-led configuration of your Google Workspace connection, knowledge source, and rules.
- Is there an AI email assistant that works inside Gmail?
- Yes. Sandlabs builds an AI email assistant for Gmail and Google Workspace that connects via the Gmail API, triages your inbox by priority, and drafts replies as native Gmail drafts. A human approves and sends. It works for individual and shared inboxes such as info@ and support@.
- How is this better than Gmail’s built-in AI?
- Gmail’s smart-reply and Gemini suggestions are generic — they do not know your prices, policies, or booking rules, and they do not triage a shared inbox. Our assistant grounds every draft in your own knowledge source, prioritises the whole queue, and is built for the shared info@/support@ inboxes where the real volume sits.
- Does it work with shared Gmail inboxes?
- Yes — shared inboxes are the main use case. The assistant triages the shared queue, applies priority labels everyone can see, and drafts grounded replies so the whole team works from one prioritised view.
- Does it send Gmail emails automatically?
- No, not by default. Replies are created as Gmail drafts for a person to review and send. Access is least-privilege — read and draft only — with no send permission unless you explicitly enable it for specific safe categories later.
- Where is the data processed?
- You can keep inference on-shore: Claude via AWS Bedrock in Sydney for AU data residency. Your email is never used to train public models, access is least-privilege, and everything runs under a documented data-processing agreement with a full audit log.
More from the Sandlabs AI front desk
Further reading - Before you scope your AI project
The cost, scoping, and architecture questions we get most often — answered.
The exact roadmap to go from occasional Claude use to a workflow that pays for itself — a maturity ladder, use-case matrix, and 90-day plan for SMBs.
15 AI automation platforms stress-tested in production by an Australian team — AUD pricing, data residency, honest verdicts.
Private, self-hosted and on-premise AI for Australian firms — the regulatory drivers, the honest trade-offs, and how to decide what keeps your client data in-house.
The honest limits of no-code AI agent builders and when to move to a custom build.
When off-the-shelf AI stops working and custom development starts to pay for itself.
Let's build something great together.
Melbourne, Australia — serving founders worldwide. [email protected]