An AI automation agency that rebuilds your processes around AI agents
We map how your company works today, find the steps an AI agent can do, and build a system where agents and people each have a defined part. The team you already have gets more done, and every agent is measured against a number before it stays.
For companies that want the current team to do more, without a hiring round
- People use chat assistants on their own, and nothing in the process has changed.
- Reports, replies and data entry take hours that senior people should spend elsewhere.
- A pilot was built, shown at a meeting and never used again.
- You want to rebuild the operating model for AI and do not know where to start.
From a process map to agents that work every day
We work with the tools you already use. This is what a full engagement covers.
| What we do | What you get |
|---|---|
| Map of processes, roles and hours | A ranked list: where an agent saves the most and how hard it is to build |
| Design of the agent system | Which agent does what, what data it sees and where a person approves |
| Build and connection to your tools | Working agents in the CRM, mail, documents and messengers you use |
| Two-week test on your data | A before and after measurement for each agent |
| Rules, access and data handling | Written rules on what agents may do and who answers for the result |
| Team training and handover | Instructions, role descriptions and an owner inside your company |
Map, test, then roll out
- Interviews with the owner and team leads.
- We map processes and count the hours.
- We pick the first processes to rebuild.
- A process map.
- A ranked list of agent candidates.
- A plan with metrics for each one.
- We build the first agents in your tools.
- Each one runs for two weeks on real work.
- We measure before and after.
- Working agents.
- Test results in numbers.
- A keep, fix or drop decision for each.
- Agents that passed become part of the process.
- The team is trained on the new roles.
- We add the next processes from the list.
- Updated process maps and rules.
- A monthly report on hours and errors.
- An owner inside your company.
An agent stays only if a number moves
Process first, tool second
We start from how work moves through the company. The choice of model and platform comes after the process is clear.
Tested on your data
Each agent runs for two weeks on real tasks with a before and after measurement: hours, error rate or response time.
A person approves what matters
Payments, client promises and anything legal keep a human approval step. We write down where that step is.
We run on it ourselves
Our own research and marketing analysis runs on AI agents. We sell what we use every day.
Questions owners ask first
What is an AI agent in a business process?
A program built on a language model that does a defined task with your data and tools: sorts incoming requests, drafts a reply, prepares a report, checks a document. It works inside rules you set, and a person reviews the steps that carry risk.
Which processes do you start with?
The ones with many repeated hours and a clear check for quality: reporting, lead handling, first-line support, document preparation, research. The audit ranks them for your company.
Do we need our own developers?
No. We build and connect the agents. You need one person who owns the system after handover, and we train them.
What about our data?
We agree during the audit which data agents may see and where it is processed. Access rules are written down before anything is built.
What does it cost?
We do not publish prices. The audit has a fixed scope, and the cost of the build follows from the list of processes you choose.