01
Customer call agent
Handles routine calls and books appointments. Complex requests go to your team with the context attached.
Don't Panic.cz/AI agents
AI agents thatdo the work.
Tell us what slows your team down. We build AI agents and automation around your process and the systems you already use.
New enquiry"Please send a price for 200 units, we need it by Friday."
AI agent 01
- Reads the request
- Checks CRM and prices
- Prepares the quote
QuoteReady for your team.Awaiting approval
ChatGPTClaudeGeminin8nMicrosoft 365
01 / Where to start
One problem.A working solution.
Start with the task that keeps coming back. A quick enquiry, a slow quote. Customer history in your CRM, prices in a spreadsheet and details missing from the email.
Your AI agent brings it together and prepares the quote. Your team checks it and sends it.
02
Follow-up agent
Prepares follow-up messages, schedules reminders and updates your CRM. You decide what needs approval before it goes out.
03
Document agent
Reads invoices, forms and attachments and puts the right details in the right place. Missing or unclear information is flagged.
04
Order agent
Checks orders against stock and delivery options, updates agreed records and lists the exceptions.
05
Reporting agent
Collects figures from agreed sources and prepares your regular report with links to the source data.
06
Purchasing agent
Compares supplier quotes on price, delivery terms and your requirements. It prepares a summary, not a commitment.
07
Onboarding agent
Starts the agreed checklist, sends the right information and tracks tasks that would otherwise fall between teams.
08
Your agent
The job that is specific to your business. Tell us what comes in, what happens today and what a useful result looks like.
Examples of possible workflows, not off-the-shelf products. Scope and integrations are agreed for each project.
02 / In control
Your team stays in control.
We agree what the agent can access, what it can do and when it must ask for approval. Unclear cases go to a person.
01
Clear permissions
The agent sees only the data and systems you explicitly allow.
02
Human approval
Sending a quote, publishing content or approving a payment can remain a decision for your team.
03
Visible steps
Every step the agent takes can be traced, so you know what it did and why.
Before going live we test
- Real cases from your operations
- Exceptions and missing data
- Unusual requests
- Failed integrations
- Approval steps
- Error reporting
Technology, chosen per project
ChatGPT / GPT (OpenAI)Claude (Anthropic)Gemini (Google)HubSpotSalesforceMicrosoft 365Google WorkspaceYour CRMn8nCustom integrationsMicrosoft AzureAWSYour infrastructure
Tools are selected for each project.
03 / How we work
Process first, then technology.
No big rollout to begin. One well-defined process is enough.
01
Find the bottleneck
We look at the work today, choose a useful first problem and agree how to measure improvement.
02
Build the solution
We connect your tools, define the rules and decide where people stay involved.
03
Test with your team
We check real cases, exceptions and approval steps before the agent takes on live work.
04
Keep it working
We review the results, investigate errors and adjust the agent as your process changes.
04 / Before we begin
A few practical questions.
Do we need to replace our software?
Not necessarily. We first check how the solution could connect to the tools you already use. If an integration or system change is needed, we explain it before building.
Do we need an agent for every task?
No. Some tasks need a simple automation. An agent makes sense where the work involves documents, interpreting a request or handling several steps. We choose the approach that fits the job.
Can we start with one process?
Yes. A clearly defined process is the best start: we test the solution on it and measure what it changed.
How much does it cost?
It depends on the workflow, integrations, data and level of support. We agree the work and the price before development begins.
Who takes care of the agent after launch?
We agree monitoring, maintenance and support as part of the project. That includes how errors are reported and who is responsible when systems or workflows change.
What happens when the agent is unsure?
We define in advance when it must stop and hand the task to a person. We test missing data, unusual requests and failed integrations, not just the happy path.
Where does our data go?
We choose the tools, data access and hosting setup with you before building. We do not promise that every service runs in the Czech Republic or the EU. The agreed providers and data flows are part of the project scope.
Tell us about one taskthat takes too much effort.
We discuss the task, the tools your team uses and where the time goes. Then we outline a useful first workflow, what it needs and how we would test it. You see the scope and estimate before any development starts.