AI automation agency
AI agents that run in production. Not demos.
We build AI agents and automations that do real work every day, connect them to your systems, run them in your cloud or on your servers and keep measuring their quality.
- Process first, then the model
- Your cloud or on-premise
- Operated after go-live
- Order received by email
- Data extracted and checked against rules
- Booking in the ERP
- Exception sent to a person for approval
- Confirmation to the customer
Quality measured on every run
Trusted by
The problem
Most AI projects stop after the demo.
The pilot looked good
Then real cases, real data, permissions and exceptions arrive, and it stalls.
Nobody owns the operation
No one measures the error rate or watches cost once the project team is gone.
The model changes
A provider updates its model and nobody knows what happens to the results.
How we work
Built, tested and operated on one platform.
1Build
Every agent tested before it goes live.
We configure instructions, tools and limits and test the agent on cases your experts checked.
- Versioned instructions
- Test runs on real cases
- Says so when it is unsure
2Operate
Quality and cost visible every day.
After go-live you see every run, what it cost and which results wait for approval.
- Every run traceable
- Approvals where the risk is high
- Failing agents flagged
What we do
From process to running agent, in one team.
Process analysis
With the people who do the work we find the steps where agents save the most time.
AI agent development
Agents with tools, clear instructions and limits, tested on real cases. More on AI agent development.
Integration
ERP, CRM, mailbox, document storage and workflow tools such as n8n.
Operation and monitoring
Quality, cost and errors measured after go-live, agents updated when models change.
Your cloud or on-premise
Agents run where your data lives, with the model of your choice.
Enablement
Your team learns to review, adjust and extend the agents.
Compare
AI agency, AI consultancy, freelancer or tool?
| AI consultancy | Freelancer or tool | JadenX | |
|---|---|---|---|
| Strategy and process analysis | Yes | Rarely | Yes |
| Builds the solution | Often not | Yes, usually one workflow | Yes, agents and integrations |
| Runs in your cloud or on-premise | Depends | Rarely | Default |
| Operation, monitoring, quality measurement | No | Rarely | Yes |
| Own production products | Rarely | No | FlowHive.ai and Sigma CRM |
What changes
Agents that keep working after the project ends.
- Processes run every day with agents, not only in a demo.
- Your team reviews the exceptions instead of doing every case by hand.
- You see quality and cost per run and can switch models any time.
Find the first process for an agent.
Book a 30-minute callProof
We build products, and we run on agents ourselves.
JadenX is not a reseller of someone else's chat tool. We build and run FlowHive.ai and Sigma CRM, and we run our own company with agents. See 1 Human, 100 Agents.
- Quality measured against cases your experts checked
- Every agent action logged and traceable
- Human approval where the risk is high
- Models can be swapped without rebuilding the process
- Clear owner for operation, at JadenX or in your team
How a project runs
Four phases. The last one is operation.
- 1
Call
30 minutes on your processes, systems and goals. Free of charge.
- 2
Plan
A first use case with fixed scope, fixed price and clear stop criteria.
- 3
Build and test
Connected to your systems, tested on cases your experts checked.
- 4
Operate
Live in your environment, monitored, then extended.
Frequently asked questions
What does an AI automation agency do?
It finds the processes where AI saves time or money, builds the agents and automations, connects them to your systems and, in our case, operates them after go-live.
Is an AI automation agency worth it?
When it starts with a concrete process and a measurable result, yes. We agree on stop criteria before the first build, so you know early whether a use case pays off.
How much does an AI automation agency charge?
It depends on the process and the systems. After the free first call you get a fixed scope and a fixed price for the first use case.
What is the difference to an AI consultancy?
A consultancy usually ends with a recommendation. We define the strategy and also build and run the solution. See AI consulting.
When is n8n or Make enough?
When the process follows fixed rules, a workflow tool is often enough and cheaper. Agents pay off where the work needs judgment. More on AI process automation.
Can the agents run in our own cloud or on-premise?
Yes, that is our default. Your data stays in your environment, and you choose the model and its processing location.
Are we tied to one AI model?
No. We separate the process from the model, so a model can be replaced when a better or cheaper one is available.
What do we need to contribute?
People who know the process, access to the systems involved and someone who reviews results in the first weeks.
Let's find the first process for an agent.
30 minutes on your process and what an agent could take over. You leave with a clear first use case.
Dr. Marcel Müller · Founder & COO, JadenX