Case Studies

Automation systems that remove repetitive work

A selection of AI automations we built to help teams publish faster, monitor campaigns at scale, and stay informed without manual effort.

3 workflows

Across content generation, campaign monitoring, and internal knowledge distribution.

30+ hours saved

Combined weekly time savings across the case studies on this page.

Hands-off execution

Each workflow is designed to run reliably with minimal or no recurring manual intervention.

Case Study 1Runs automatically once a week

Automated blog article generator for a local law firm

A weekly content engine that monitors local legal news, drafts blog articles and LinkedIn posts, and emails finished content to the client with no manual work required.

Challenge

  • The firm wanted to publish timely legal commentary but did not want lawyers or staff spending time reviewing local legal news every week.
  • Their team needed a way to consistently pick the most relevant legal developments, turn them into client-facing content, and prepare social distribution without adding more work.

Solution

  • We built an automation that scrapes local legal news sources and filters the stories most relevant to the law firm.
  • The workflow then generates a full blog article, creates a matching LinkedIn post, and sends the finished content by email to the client for review.
  • The full process runs automatically every week, so the client does not need to monitor sources, shortlist stories, or write first drafts.

Outcome

  • The firm saves around 5 hours every week on news selection and content writing.
  • They get a reliable publishing rhythm without assigning billable staff to repetitive editorial work.
Time saved
5 hours saved weekly
Automation stack
n8nOpenAI
What this replaced

Manual research, repetitive drafting, fragmented reporting, and recurring coordination work that teams were doing every week by hand.

Case Study 2Continuous internet monitoring and dashboard reporting

Performance tracking for marketing assets for a large sport retailer

A global monitoring workflow that searches the internet for campaign asset usage and feeds the findings into a dashboard for the marketing team.

Challenge

  • The retailer invests heavily in worldwide marketing assets such as photo shoots, banners, and campaign visuals.
  • Their central team had limited visibility into whether local entities and retail partners were actually using those assets online.
  • Checking usage manually required assigning junior analyst time to repetitive global internet research.

Solution

  • We built a workflow that searches the internet worldwide for the retailer’s marketing assets and campaign traces.
  • The automation compiles the findings into a dashboard so the team can monitor who uses which assets, where they are being used, and how often they appear.
  • This gives the marketing team a structured view of asset adoption across markets without manual research cycles.

Outcome

  • The team now knows which assets perform, who uses them most, and where to focus future campaign efforts.
  • The workflow saves more than 15 hours per week by removing the need for manual monitoring and reporting.
Time saved
15+ hours saved weekly
Automation stack
n8nSerpAPIOpenAI
What this replaced

Manual research, repetitive drafting, fragmented reporting, and recurring coordination work that teams were doing every week by hand.

Case Study 3Sent weekly to all lawyers

Internal legal newsletter for a local law firm

A weekly internal newsletter that keeps lawyers up to date on local regulation changes and legal developments without requiring them to manually monitor multiple sources.

Challenge

  • Lawyers were spending hours every week checking local websites such as Journal de Monaco and Legimonaco to stay current on regulatory developments.
  • The work was important but repetitive, and it pulled legal staff away from higher-value client work.

Solution

  • We built an automation that scrapes major local legal news websites on a recurring basis.
  • It selects the most important developments, compiles them into an easy-to-read and nicely formatted newsletter, and distributes it weekly to all lawyers.
  • This ensures the team stays informed without having to manually monitor multiple sources.

Outcome

  • The firm saves more than 10 hours every week across its legal team.
  • Lawyers stay up to date through a single consistent briefing instead of fragmented manual research.
Time saved
10+ hours saved weekly
Automation stack
n8nOpenAI
What this replaced

Manual research, repetitive drafting, fragmented reporting, and recurring coordination work that teams were doing every week by hand.

Want a similar workflow for your team?

We can identify repetitive work in your business and design a workflow that runs reliably in the background.

Book a discovery call