Why agent projects stall.
Interest is high, but few companies get agents into daily work.
- Unclear business value
- Costs higher than the pilot
- Weak risk controls
- Missing skills
What is Agentic AI?
An AI agent is software that uses an AI model to plan a task and finish it. A chat tool answers one question at a time; an agent does the whole task in your systems.
We cover the full life of an AI agent, from finding the right use case to running it in production.
Find
We rank your use cases, check your data and systems, and agree one measured goal.
Build
We build a working agent and test it on real examples, then take it to a secure production pilot.
Run
We run the agent as a managed service: monitoring, changes and upgrades.
From workshop to operations
Each step has a fixed scope and ends with a result you can review.
- Ranked use cases
- Business case
- Plan for the proof of concept
- Working agent
- Test set and quality report
- Measured cost per task
- Secure agent with approval steps
- Architecture and security documents
- Dashboards, runbook and training
- Monthly report on quality and cost
- Incident handling
- Model upgrades and improvements
In 1 to 2 weeks we find your best use case and agree one goal.
Why Sedmi odjel
Questions we hear first.
Have another question? Get in touch and we will answer it in the discovery workshop.
How is an AI agent different from a chat tool?
A chat tool answers one question at a time. An AI agent does the whole task in your systems: it plans the steps, reads and updates your tools through APIs, checks its own results and asks an employee to approve key actions.
Where do agents help first?
Good first use cases for software and financial companies are customer support, claims and case intake, document processing, sales preparation, quotes and estimates, and HR requests. The discovery workshop ranks the ones that fit your company.
Who stays in control?
Your employees. The agent asks for approval before key actions, and the production pilot adds approval steps, architecture and security documents, dashboards and a runbook.
How do we know the agent is worth it?
We agree one measured goal in the discovery workshop. The proof of concept ends with a test set, a quality report and the measured cost per task, so you decide on the pilot with real numbers.
How long does it take?
The discovery workshop takes 1 to 2 weeks, the proof of concept 3 to 5 weeks and the production pilot 6 to 12 weeks. After that we run the agent for you.
Who runs the agent after go-live?
We do, as a managed service: a monthly report on quality and cost, incident handling, and model upgrades and improvements.
Tell us which tasks take your team the most time, and we will propose where an agent fits.