Automation Specialist
Independent automation specialist on n8n, Make.com, and Power Automate. I build workflows that connect your tools, move the data automatically, and run in production without breaking. No demo flows that die after two weeks.
Automation Specialist
An automation specialist isn't an RPA salesperson, the consultant who installs Zapier for you, or someone who builds brittle Excel macros. It's an engineer who maps your processes, finds where manual work is killing your margin, and builds orchestration flows that run themselves — with clear logic, monitoring, and evals. Default stack: managed n8n for SMBs that want zero ops burden, owned n8n handover when internal control matters, Make.com when the customer already runs it, Power Automate for Microsoft 365-heavy orgs.
Automation Audit for Swedish SMBs
Lead-to-CRM Capture for Swedish SMBs
Monday Brief for SMB leaders
CRM automation for SMB sales and operations teams
Google Workspace automation for reports, docs, inboxes, and operations
n8n automation consultant for Swedish SMB workflows
Make automation consultant for Swedish SMBs
Concrete examples of automations that run in production.
Common automation jobs I solve
Sales closes a deal in HubSpot or Pipedrive. Today, someone manually pushes it into Fortnox/QuickBooks, creates a task in Asana, emails the delivery team. With n8n: the whole chain runs in 30 seconds with zero human touch.
You receive 200 inbound emails per day. 80% are routine, 20% need a senior. An LLM classifies and routes without hallucinating — because we set an escalation rule: when uncertain, flag a human.
Notion ↔ Linear ↔ Slack ↔ Google Sheets ↔ customer database. n8n abstracts away differences in the APIs, handles rate limits and retries, logs every run so you can see what happened.
Weekly report that pulls data from four systems, formats into a template, and emails or posts to Slack. Build once, run forever, adjust when the report needs to change.
How I work
Week 1
We map the flow you want to automate. What triggers what? Which systems are involved? Where are the bottlenecks today? Output: a clear document showing current state, target state, and risks. Fixed price when scope is clear.
Week 2–3
I build the flow in n8n or Make. We run it in parallel with your current process for 1–2 weeks to catch edge cases. No production damage while you test.
Week 3–4
Cutover in a controlled moment. Documentation, runbook, and monitoring in place. The delivery model is explicit: managed hosting by VasthavM or owned handover into your environment.
Tools I use
n8n managed by VasthavM by default, or deployed into your environment as an owned handover when you need internal operation. Make.com when you already have a license or need Make-specific modules. Power Automate and Logic Apps for Microsoft 365-based orgs. Prefect and dbt when the data flow requires scheduling, idempotency, and versioned transformation.
Frequently asked questions
n8n is open source and flexible: it can be managed for you or handed over into your own infrastructure. Make has more pre-built modules but is hosted and priced per operation. Zapier is easiest to start with but limits branching logic and gets expensive at scale.
Yes. For organizations already on Microsoft 365, Power Automate and Logic Apps are usually the right choice — you get SSO, security, and governance that integrate with existing IT. Copilot Studio fits chat/agent flows against internal data via Graph.
Every flow has retries, a dead-letter queue for what permanently fails, and alerts to Slack/Teams when something breaks. Logs are kept at least 30 days. For critical flows: Sentry/Grafana hookup and on-call rotation if you want it.
A single workflow: 50,000–150,000 SEK fixed price depending on number of systems, edge cases, and evals. Pre-build assessment (1–2 weeks): 25,000–60,000 SEK. Larger programs (5–10 workflows + platform setup): 200,000–500,000 SEK. No open accounts — always price-capped.
A simple automation (CRM → email → Slack message) goes from idea to production in 1–2 weeks. Complex flows with multiple data transformations and LLM steps: 3–6 weeks. Larger programs with evals and monitoring: 2–3 months.
You choose the operating model. Managed Automation runs on VasthavM infrastructure with monitoring and support. Owned Handover runs in your server or accounts with documentation so your developers can modify it.
Which workflow eats the most time at your company right now?
Book a free 30-minute call. We walk through your current processes and find where automation pays back fastest. You get a concrete assessment, not a sales script.
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