AI Automation
Processes that run without you.
We automate the recurring steps that eat your capacity — with AI agents wired into the systems you already run.
Selected brands we support with visibility, demand and systems
Niccos — Shopify & e-commerce
Ad Specialist — Performance marketing agency
NEONA — Designer lighting & e-commerce
voids.ai — Supply-chain SaaS
SPIELMANN Steuerberatung GmbH — Tax consulting
William Walker — Premium dog accessories
VOLTH Materials — Industrial insulation & aerogel
AGS IT-Service — Healthcare IT services
Seedwise — Grant consulting
Campus Five — AI consulting & automationShort answer
What AI Automation & Agents gets you.
AI automation means we take one recurring process, build it as an agent connected to your systems, and hand it over with monitoring and a kill switch. We always start with a process, never with a platform. Gartner (2025) expects more than 40% of agentic AI projects to be cancelled by the end of 2027, mostly over unclear value and missing controls.
Approach
How an agent reaches production.
We start from the process and stop only once it runs under monitoring.
Measure the process
How often does the step run, how long does it take, what does it cost?
Connect
Access to the systems where the process actually happens.
Build approvals
What may the agent do alone, what needs a human confirmation?
Monitor
Error rate, cycle time and a kill switch from day one.
Process
How working with us goes.
Four steps from the first call to ongoing delivery. The process is the same for every service.
- 01
First call
In 15 minutes we clarify your category, your goal and where you stand in Google and in AI answers today.
- 02
Analysis
Our platform runs real buying questions through ChatGPT, Gemini, Perplexity, Claude and Google and shows which providers get named and which evidence you are missing.
- 03
Plan
You receive a prioritised plan with sequence, effort and expected impact. Then you decide whether we work together.
- 04
Delivery
We implement, measure mentions, rankings and traffic every month and report in a shared Slack channel.
Results
AI Automation & Agents in practice.
Documented projects with figure, period and the work behind them.
Niccos - Shopify & E-CommerceMay to July 2026 · 3 months
+761 %
more impressions
Shopify & e-commerce
View caseAGS IT-Service - IT-Service für ArztpraxenApril to July 2026 · 4 months
+115 %
more impressions
Healthcare IT
View case
Zahnzentrum St. Georg - ZahnarztpraxisMay to July 2026 · 3 months
+191 %
more clicks
Dental practice
View caseScope
What we implement.
Result
What you receive.
Good fit
Who this service fits.
Not a fit
When another solution makes more sense.
More services
Which services work together here?
AI Strategy Consulting
We work with the management team to find where AI actually moves money in your business model — and where it only burns budget.
Learn moreConversion Optimisation
We find where visitors drop out and rebuild those steps. Measured, not decided by taste.
Learn moreWebsite and Software Development
Websites, stores and custom software. We built our own platform and the Shopify app SPHEN.AI ourselves.
Learn moreLLM market research for enterprises
We measure the answer market of a category: which providers AI names for real buying questions, what those answers rest on and where competitors stand.
Learn moreTestimonials
What our clients say.
Quotes from founders and managing directors we work with. Where a case exists, the number sits next to it.
“No fuckin way, Felix Ament is the GOAT. Within weeks, NICCOS was #1 on ChatGPT and Claude. Our organic inbound leads have exploded thanks to getSichtbar.”
+761 %
more impressions
May to July 2026 · 3 months
“In the first month, the first request came in with the line: 'ChatGPT recommended you to me.' That is exactly why we use getSichtbar.”
+980 %
more organic conversions
May to July 2026 · 3 months
Common questions about AI Automation & Agents.
Which processes suit AI automation?
Steps that recur often, can be described clearly and cost people time today: quote preparation, data maintenance between systems, reporting, first-pass triage of inbound requests. The more often a step runs and the more uniform it is, the faster the build pays for itself.
What happens when the agent makes a mistake?
Every run is logged and every action has an approval level. Critical steps only execute after a human confirms. There is a kill switch and a monitoring view with the error rate, so a problem becomes visible before it becomes expensive.
Does this need its own platform or licence?
No. We build into the systems you already have, through their interfaces. If an existing platform covers the process more cheaply than a custom build, we say so and do not build. The recommendation comes from the maths, not from our offer.
How long until the agent is in production?
Usually four to eight weeks for the first process, including measurement, integration, approval logic and monitoring. Most of that time goes into interfaces, permissions and edge cases rather than into the model itself.
Why start with only one process?
Because breadth is the most common reason projects die. Gartner cites unclear business value and cost for the 40% of agent projects cancelled by 2027. One measured process running in production gives you the number you need to decide on the second.
Does the knowledge stay with you?
No. We hand over with operations documentation and your team gets access to monitoring and configuration. You should be able to switch the agent off, change it and run it without us, even if we stop working together.
First call
Talk to us about your visibility.
15 minutes, straight from the calendar. Before the call we check which providers AI names in your category and bring the result.
What happens in the call
- We show which providers ChatGPT, Gemini, Perplexity and Google name for buying questions in your category.
- We show which sources support those answers and where competitors stand.
- We name the evidence your brand is missing today.
- You get the next step with the biggest effect. No obligation.