The routines run in the background
Daily monitoring, reports and anomaly hunting happen without anyone opening a spreadsheet. The team's time goes to planning and customers.
Management wants AI in use. We build it for your team.
We build a working AI system for your marketing team in your own accounts and data, train the team to use it and keep it running. You do not need to be an AI expert. It is enough to know where your team's time goes now.
- Your data stays in your accounts
- A workshop for the whole team
- Support and maintenance
Sound familiar?
AI is in the strategy.
The daily work still runs on spreadsheets.
These are the situations marketing teams usually start from.
Management expects results
AI is written into the strategy, and you are supposed to show what it delivers. No plan came with it.
The experiments stayed experiments
The team has tried ChatGPT, but the daily work still runs on spreadsheets and the reports are compiled by hand. Nothing became a lasting habit.
Security is a worry
Which customer and sales data may be given to an AI, and who is responsible if something leaks?
There is no time
The days fill up with campaigns and meetings. Nobody has weeks to learn a new technology on the side.
What you get
We build and maintain. Your team uses.
We do the building, the connections and the testing. Your team gets a finished tool and learns to use it on its own data.
Answers from your own data, in plain language
The team asks in ordinary words: which campaigns brought sales in October? The answer comes from your own numbers, not a general AI.
Something to show management
At the start we agree one metric and its baseline. After 30 days you have a measured result, not just an experiment.
What gets built for your team
Ready-made tasks for every channel.
These are the same ways of working our own monthly service runs on. For you they are installed in your accounts and tuned to your goals.
Google Ads monitoring
Goes through search terms, budget and results every morning and flags what needs attention.
Example: 12 searches that are not about your services
Meta advertising monitoring
Spots ads wearing out and enquiries getting more expensive before they show in the monthly numbers.
Example: An ad has been shown to the same audience too often
Monthly report
Compiles spend, results, the changes made and the next steps into a ready draft. The team checks and sends.
Example: October report ready for review
From ads to sales
Matches ad clicks to enquiries and closed deals, and says where the match remains uncertain.
Example: 14 deals matched to campaigns, 3 uncertain
Change proposals and approvals
Every proposal comes with the reasoning: what changes, why, what the risk is and how it is reversed. Your team approves.
Example: 3 proposals awaiting approval
Technical SEO monitoring
Watches the site's findability and compiles a prioritised fix list for whoever maintains the site.
Example: 2 broken redirects on important pages
Is the job that takes most of your time missing from the list? Tell us in the scoping. We always start with the task that takes most of your team's time.
How it goes
Seven steps from scoping to maintenance.
Your team's time is needed only for the scoping, the testing and the workshop. We do everything else, and you have one contact person throughout.
Request free scoping- 01
Free scoping
We go through where your team's time goes and pick one bounded task where the benefit shows fastest. You get a written proposal and a fixed price.
- 02
Ground rules and security in writing
We agree roles, the goal and the metric, and what the AI may do on its own, what needs approval and what is off limits. A data processing agreement is signed before we touch anything.
- 03
Build in your accounts
We install the system in your own accounts with the least possible access rights and connect the ad accounts and sales data.
- 04
Testing on real data
Every task is tested with your team on your own numbers before anyone relies on it.
- 05
A workshop for the team
Your team practises with its own examples: how to ask, how to check a result and how to approve a change. The instructions stay with you in writing.
- 06
Reviews on days 3, 7, 14 and 30
We check four times that everything works: the metric against the baseline, what worked and what needed a person. On day 30 you decide on the facts whether to continue, fix or extend.
- 07
Ongoing maintenance
We keep the system running, fix faults and bring in better AI models as they are released. A new task is added only once the previous one works.
Security
Your data stays with you.
Security is agreed first, and in writing.
Your accounts, your data
The system is installed in your own accounts. The accounts, the data and the history are yours from start to finish.
The least possible access
We ask only for the rights the task needs, and for most of them read access is enough. Passwords are never shared.
A written processing agreement
A GDPR-compliant data processing agreement is signed before the work starts. It shows you what data is processed and where.
The AI gets only what the task needs
Passwords, keys and unnecessary personal data are never fed to AI services. We use enterprise-grade services that do not train their models on your data.
Your team approves the changes
The AI does not change your ad accounts on its own. Significant changes go through approval, and every one has a way back.
Access removed when the work ends
If the engagement ends, we remove our own access rights. The system and the instructions stay with you.
What you show management
On day 30 we look at the metric.
At the start we agree one metric and its baseline. A month later you see where it moved, and you get a ready summary to take forward.
Request free scoping- A measured resultThe agreed metric against the baseline and the target.
- An honest pictureWhat worked, what needed a person and how reliable the data is. We also say where the data is weak and what took manual work.
- A recommendationContinue, fix, extend or stop. With the reasoning, ready to present.
Pricing
A fixed price.
No hourly billing.
Implementation is priced as a one-off and maintenance as a monthly fee. Both are agreed according to scope before we start, so you know the amount before you commit.
The quote also itemises the cost of AI tools and other external services, so there are no surprises.
- Scoping and a written proposal, free of charge
- Implementation at a fixed price: build, connections, testing and the workshop
- Support after go-live: reviews on days 3, 7, 14 and 30
- Maintenance at a monthly fee: monitoring, fixes and updates
- Extensions agreed separately once the previous task works
Common questions
The questions management will ask you.
Answers ready to pass on as they are.
Does our team need technical skills?
No. We build, connect and maintain the system. Your team uses it by writing plain language and approving or rejecting proposals. The workshop uses your own examples.
What happens to our data?
The system runs in your own accounts with the least possible access rights. A data processing agreement is signed before work starts, passwords are never shared, and no unnecessary personal data is fed to AI services. When the engagement ends, we remove our own access.
We already have ChatGPT or Copilot. What is this for?
A general AI tool does not know your ad accounts, your sales figures or your goals, and everyone uses it their own way. We connect AI to your own data and build ready, tested tasks that work the same way every time.
How quickly will we see a benefit?
We start with one bounded task precisely so that the benefit shows quickly. We agree a metric and its starting level at the outset, and on day 30 we look together at where it moved. You get the exact schedule after the scoping.
What if the AI makes a mistake?
That is why the AI does not make significant changes on its own. We agree in writing what it may do alone, what needs a person's approval and what is off limits. Every change has a way back, and in the reviews after go-live we go through mistakes and fixes.
What does it cost?
Implementation is a fixed-price one-off and maintenance is a monthly fee. Both are agreed according to scope before we start, and the quote also itemises the cost of AI tools and other services. Scoping is free.
Can the system be extended later?
Yes. A new task is added once the previous one works and there is evidence for it, and only if you need it.
What if we want you to run the advertising?
That works too. In the monthly service the AI goes through the accounts every day, an experienced marketer makes the improvements and you approve the big changes. Prices are on the front page.
Free scoping
Let's start with one task.
Tell us where your team's time goes. You get a proposal for the first task, a fixed price and an honest view of whether it is worth it.
After the scoping you know where to start, what it costs and whether AI is useful in your situation.