AI Agents
A good AI agent is not a chatbot with marketing promises. It is a controlled workflow: ingest information, structure data, prepare tasks, let humans decide at the right points.
What AI agents can do — and what they cannot
AI agents are tools, not miracle workers. They excel at automating repetitive tasks, structuring large datasets, and preparing decisions. What they cannot do: think strategically, go rogue creatively, or replace your customer relationships.
That is why we build agents with clearly defined approval gates. The AI does the groundwork — you make the decision.
- ✓ Structure & evaluate data
- ✓ Automate workflows
- ✓ Prepare decisions
- ✗ Think strategically
- ✗ Replace customer relationships
- ✗ Work without oversight
Use Cases
Concrete workflows — every card shows its path through the switchboard.
Lead Qualification
Automated intake, scoring, and routing — humans decide at the right points.
Content Workflows
Structured content production with AI assistance, not AI-generated spam.
Data Processing
Ingest, structure, and route data automatically. Audit trail included.
The agent at work.
One inquiry, four stations — with real artifacts. And nothing is sent until YOU say so.
inbox
an inquiry comes in
agent: extraction
facts & confidence
your approval
approve or revise
reply & crm
sent, documented
Hi, we need a relaunch of our website — and we finally
want to be found. Budget is around 5–10k.
// click completed stations to reopen their artifacts.
Deliverables
Not a promise — a protocol.
An honest word.
If the process itself is broken, an agent only automates the chaos.
AI agents pay off for recurring, well-describable groundwork: qualifying, extracting, preparing. They do not pay off as a substitute for decisions, for one-off tasks — or when nobody can say what “correct” even means.
That is why every agent project here starts with the process, not with the model. And sometimes the honest recommendation is: no agent.
Pillowcase
Agent platform for ops teams: categorize, extract, prepare — decisions stay with humans.
view case →You ask. We answer.
questionWhat exactly is an AI agent?
An AI agent is an automated workflow that uses AI models for specific tasks — data extraction, classification, drafting, routing — while keeping humans in the loop for decisions that matter. It is not a chatbot that promises everything and delivers nothing.
questionDo you use ChatGPT for everything?
No. We use the right model for each task. Simple classification tasks do not need the most expensive model. Complex reasoning does. We match tool to task, not hype to budget.
questionDo I need technical knowledge?
No. We build the workflows and you operate them. If you can write emails, you can work with our systems.
questionHow much does an AI agent cost?
That depends on the workflow. Simple automations start in the low four-figure range. More complex agent systems cost more. We clarify this in the audit.
questionIs my data safe?
We work with European providers where possible, build audit trails into every workflow, and never use client data to train models. Data processing agreements are standard.
Which workflow eats most of your time?
The free audit finds the process with the biggest automation lever — with an honest assessment of what's worth it.