Make Automation Consultant

    Make automation consultant for Swedish SMBs

    Fast cloud automation in Make when speed, existing modules, and low operational overhead matter more than self-hosting.

    or email max@vasthavm.com

    Target customer

    Teams already using Make or needing fast, practical automations without managing workflow infrastructure.

    Pricing indication

    Typical sprint: 25,000-60,000 SEK ex VAT

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

    Pain points

    • Manual tool-to-tool updates
    • Automations built without documentation
    • Scenarios that fail silently
    • No clear owner for operation limits and errors

    What Max can build

    • Form to CRM routing
    • Email and Slack alerts
    • Report assembly
    • Task creation from customer events
    • Content workflow checklists

    Deliverables

    • Make scenarios
    • Error handling and alerting
    • Documentation of modules and data flow
    • Owner handover
    • Scope for future n8n/API migration if needed

    Process

    • Scope the workflow
    • Build in Make
    • Test edge cases
    • Launch with monitoring
    • Document ownership

    FAQ

    When is Make better than n8n?+
    Make is often faster when the needed modules already exist, operations volume is modest, and your team prefers managed cloud tooling.
    Can Make be GDPR-safe?+
    It depends on the data and subprocessors. The audit checks what data passes through Make and whether managed or owned n8n is more appropriate.
    Do we own the workflows?+
    You choose. Managed Automation runs on VasthavM infrastructure with monitoring and monthly support. Owned Handover deploys into your environment with documentation so your team operates it.
    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
    CRM Automation

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