Agency for AI automation
seraif builds automations with n8n, Make and AI agents that take the load off sales, service and back office in day-to-day business. Personally supported by Moritz Serif. GDPR-compliant.
Or start with the free AI Recommendation Check?
Which processes are suitable for the start?
Lead and proposal processes
Qualify leads, hand over enquiries cleanly and trigger follow-ups automatically. Typical AI use cases with fast leverage.
Service and ticket flows
Route enquiries, set priorities and keep customers informed without manual loops – including with AI chatbots in the ticket and CRM system.
Reporting and data maintenance
Synchronise data across systems instead of maintaining information several times by hand. That makes the ROI visible early.
Which systems do we connect in the first step?
CRM + email
Capture leads, assign them automatically and trigger the next steps directly.
Proposal + approvals
Move status changes, queries and documents along without manual follow-up.
Support + ticket system
Categorise, prioritise and forward enquiries to the right place.
Reporting + data sources
Update key figures automatically so your team works with current data.
The basis is workflow automation with AI: a trigger from one system starts the workflow, the language model processes the data, the result lands in the target system. If the focus is on n8n, the n8n agency takes over setup, workflow building and operation.
Who builds the automations?
Implementation is the responsibility of Moritz Serif, a trained journalist and SEO with stints at Axel Springer, Funke, Ippen Digital, NDR and t-online. Briefing, implementation and handover lie in one pair of hands.
n8n, Make, Claude, OpenClaw and Cowork are his daily working environment – from process analysis to stable operation.
What clients say about working with seraif.
Amazon“Moritz helped us enormously in optimising our GEO strategy. His knowledge of the news world and his ability to understand our perspective and challenges precisely were outstanding.”
Catalina GeibPolicy and Press Comms Manager, Amazon
Stimme Mediengruppe“Moritz comes from the newsroom, and you can tell in his SEO work. In an SEO audit he showed us where we were giving away traffic potential. He put his finger on the sore spot, and that is exactly what moved us forward, including on Google Discover.”
Markus MerzHead of Digital / Deputy Editor-in-Chief, Stimme Mediengruppe
How does an automation project work?
Free initial call
Thirty minutes in which we go through your workflows and find the one with the fastest business leverage.
Proposal
You receive a transparent proposal with a clear scope, timeline and costs.
Pilot, operation and handover
We build the integrations, test with real cases and hand over the setup documented – implemented by Moritz Serif.
What results does AI automation deliver?
More revenue
Qualify leads faster, send proposals earlier and trigger follow-ups consistently.
More time
Manual routines such as data transfers, status updates and reports run automatically in the background.
Fewer errors
Uniform workflow logic reduces media breaks and avoids inconsistent entries between systems.
How much does AI automation cost?
Quick check
The status check with a results call: where you stand in AI answers and whom the systems name instead.
Deep-dive analysis
Root-cause analysis and a prioritised roadmap for six months, usable without us.
Growth
The full chain: AI search, SEO and AI agents. Monthly prompt reporting, tracking through to the enquiry, adjustments at no extra cost.
Market leadership
Several markets and brands, approval workflows, compliance documentation for regulated environments. Typical engagements: €10,000 to €20,000/month.
Why a specialised solo agency instead of a large agency?
You work without handovers or coordination loops between different departments. No junior in between, but direct decisions with the implementation in view.
Three advantages
- Faster start: No handovers between strategy, tech and account teams
- Clearer cost structure: No agency overhead for additional coordination roles
- End-to-end responsibility: One person accompanies your project from analysis to go-live
The AI Recommendation Check
- Instant check of your website: are ChatGPT, Claude, Perplexity, Google AI and Copilot allowed to fetch your content, and do they find answers there?
- Live test of your buying prompts on ChatGPT, Perplexity, Google AI and Claude
- Competitor comparison
- Concrete next steps, prioritised by impact
Frequently asked questions about AI automation
Particularly suitable are recurring workflows with clear rules: proposal preparation, lead qualification, email routing, reporting and data maintenance between tools.
If teams currently carry out a process manually, regularly and under time pressure, it is usually a good candidate.
Yes. n8n and Make are central building blocks in automation projects. The choice depends on system landscape, data protection requirements and the desired complexity.
For AI tasks we combine workflows with Claude, agent-based setups and suitable APIs.
A clearly scoped workflow is often live in one to three weeks. Larger roadmaps with several processes usually run over two to three months.
The decisive factors are interfaces, approvals and the availability of the internal contacts.
Yes, if teams set up tools, data flows and access rights properly. That includes data processing agreements, data minimisation and clear rules about which content flows into external models.
We check data protection before go-live, not after.
After the start come monitoring, troubleshooting and fine-tuning. We also train the team so that it can make changes internally.
The goal is stable operation with clear responsibility and measurable results.