Data and reporting
Numbers collected, checked and summarised automatically.
- Automated reports and dashboards
- Data cleaning and enrichment
- Alerts when numbers change
AI
AI automation that removes manual work
We automate the repetitive tasks in reporting, product data and customer service, and measure the hours you get back.
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The challenge
Where manual work hides
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Copy-paste between systems
Data moved by hand between tools, with errors along the way.
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Reports built from scratch
Hours every month spent collecting the same numbers.
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Questions answered one by one
Customer service repeats the same answers all day.
What you get
Automation built on your tools
Product data and content
Product texts, translations and metadata at scale, with review.
- Product texts and attributes
- Translations
- Quality checks before publishing
Customer service and admin
Inquiries sorted, drafted and routed to the right person.
- Inbox triage and draft replies
- Document handling
- Integration with your CRM
How we work
From task to running automation
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01
Select
We pick the task with the most hours and the clearest rules.
Week 1
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02
Build
The automation built on your tools, with human review where it matters.
Week 2–4
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03
Measure
Hours saved and error rates compared with before.
Week 5–6
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04
Expand
The next task, built on what is already running.
Ongoing
FAQ
Questions
Which tools do you work with?
Make, Zapier, n8n and the APIs from OpenAI, Anthropic and Google, chosen to fit your setup.
Does a human still check the output?
Where errors cost money, yes. We build review steps into the flow.
Who maintains the automations?
We document every automation and can maintain it, or hand it over to your team.
Is our data safe?
We use settings that keep your data out of model training, and log what each automation does.
How fast do we see the effect?
Most automations run within four to six weeks, and the hours saved show from the first month.