Let's do some quick math.
Your team spends 3 hours every Friday pulling data, formatting a report, and sending it to stakeholders. That's 3 hours × 52 weeks × average hourly cost of the people involved.
Why this keeps happening
Manual reporting persists because the pain is distributed. No single person feels it acutely. The analyst who pulls the data is just "doing their job." The manager who reviews it is just "staying informed." The stakeholders who receive it are just "in the loop."
But the cost is real — and it compounds. Every hour spent on manual data work is an hour not spent on interpretation, decision-making, relationship-building.
What automation actually replaces
Automation doesn't replace reporting. It replaces the assembly of reporting. The data pull. The formatting. The email. The follow-up reminder. All of that can be handled automatically — leaving the human part to the humans.
What it looks like in practice
The best automations I've built for clients don't look like AI. They look like a report that just appears in the right Slack channel at the right time, every time, with the right context already written in.
That's not magic. It's just good engineering.
How to calculate your own number
- Count how many hours per week go into manual reporting across your team
- Multiply by your average hourly cost (salary ÷ 1,760 for a rough figure)
- Multiply by 52
- That's your annual cost of keeping things manual
For most teams I work with, the number lands somewhere between 50,000 and 300,000 kr. The automation cost is usually a fraction of that.
Want to know which reports could be automated?
Let's figure out if I can help — no pitch, just a conversation.
✉ mohammed@shakrahlabs.ai →