AI
AI that earns its keep
Everyone talks about AI. Few put it to work. We find where AI saves time or lifts quality in your daily work, and roll out only what proves its value.
What you get
Your data, your rules. We agree what can go into which tools and choose tools whose privacy holds up. We test everything ourselves first, so you don’t have to.
- Mapping where AI genuinely helps you
- Choosing and rolling out the tools
- Connecting AI to your marketing and sales work
- Team training and ground rules
- An up-to-date view of a fast-moving field
What an AI workflow looks like
A simplified example, based on how we run our own ad reviews. Claude works as the orchestrator, headless and through the platforms’ APIs. It stops for a person before anything changes.
- Trigger
A scheduled start
Every Monday morning, or when a key number moves more than agreed.
- Orchestrator agent
Claude plans the run
It reads the brief: goals, budget limits and the rules agreed with the client, then splits the work into tasks.
- Tool calls
Data through APIs
Connectors (MCP) give read access to the ad platforms, analytics and the CRM. Nothing is copied by hand.
- Sub-agents
Checks in parallel
One agent reviews search terms, another checks the tracking and a third compares spend with the goals.
- Human in the loop
A person approves
The findings arrive as a short list of proposed changes. Nothing changes until someone says yes.
- Action and log
Changes, then a report
Approved changes run first as a dry run, then for real. Every step is logged, and the dashboard updates.
The same pattern works for inquiries, reports, product data or invoices: a trigger, an orchestrator, tools with the right access and a person who approves.
How it works
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Mapping
Where AI really saves time in your work. We measure the baseline.
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Testing
We try the tools on real tasks before anything is rolled out.
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Rollout
Tools, integrations and ground rules. Read access first, changes approved.
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Training
Your team learns to use the tools in their own work. The guides stay with you.
FAQ
Where should we start with AI?
With repetitive processes where the right result is easy to check, like sorting inquiries, compiling reports or reading through customer feedback. We look for the places where the benefit shows fastest.
Will AI replace our marketing team?
No. AI removes mechanical work and speeds things up. Direction, ideas and responsibility stay with people.
Which tools do you use?
The lineup keeps changing as the field moves, which is why we test tools all the time. We recommend per use case and weigh cost against benefit.
How do you handle security and privacy?
We agree together what data may go into which tools, and choose tools whose privacy practices hold up. The rules are written down for your team.
Free Growth Map
Not sure where to start?
A free Growth Map shows you where to invest first.