Google Workspace Automation

    Google Workspace automation for reports, docs, inboxes, and operations

    Connect Gmail, Sheets, Drive, Calendar, Docs, APIs, and AI so everyday admin work moves without manual copying.

    or email max@vasthavm.com

    Target customer

    Google Workspace-based SMBs where Sheets, Gmail, Drive, and Docs have become the unofficial operating system.

    Pricing indication

    Audit from 9,500 SEK; sprint 25,000-60,000 SEK ex VAT

    Exact pricing depends on integrations, data quality, risk, scope, and ownership requirements.

    Pain points

    • Sheets are updated manually
    • Gmail drives key workflows
    • Reports depend on exports
    • Docs and proposals are assembled by hand

    What Max can build

    • Sheets reporting automation
    • Gmail triage and routing
    • Drive document intake
    • Calendar-based reminders
    • Docs proposal generation
    • Workspace to CRM sync

    Deliverables

    • Workspace flow map
    • n8n/Make/API implementation
    • Permissions and data handling notes
    • Runbook and owner training

    Process

    • Map Workspace usage
    • Define sources and permissions
    • Build workflow
    • Test with real users
    • Document handover

    FAQ

    Can you use Apps Script?+
    Yes, but only where it is the right tool. For broader orchestration I often prefer n8n, Make, or APIs with clearer monitoring.
    Can AI read our Drive documents?+
    Yes, when permissions, data sensitivity, and retrieval quality are designed properly. RAG should cite sources and avoid broad uncontrolled access.
    n8n vs Make vs Zapier?+
    n8n is best when ownership, self-hosting, and control matter. Make is strong for fast cloud workflows. Zapier is useful for simple automations but often becomes limiting or expensive at scale.
    How is GDPR and security handled?+
    The audit identifies personal data, processors, access patterns, retention, and model-provider choices before build. Sensitive flows get least-privilege access and human approval where needed.
    When should we not use an AI agent?+
    Do not use an agent when deterministic rules are enough, the data is too poor to evaluate, the action is high risk without approval, or nobody can own the process after launch.

    Related practices

    Automation Audit
    n8n Automation
    AI Agents

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