Key takeaways
- One assistant licence per person beats five half-used specialist tools.
- Automation pays off only after a process repeats at least weekly.
- Buy specialist tools against a measured bottleneck, never a demo.
- Review the stack quarterly and cancel anything below 30% seat usage.
Layer one: a single assistant
Give everyone the same assistant before buying anything else. A shared tool creates shared vocabulary, shared prompt libraries and a realistic baseline of what AI can already do in your context.
At roughly $20 per seat, this is the cheapest experiment available and it surfaces the real bottlenecks worth automating.
Layer two: automation once the pattern repeats
When a person performs the same copy-paste sequence weekly, it is worth automating. Below that frequency, the maintenance cost of a workflow exceeds the time it saves.
Self-hosted options such as n8n keep costs flat as volume grows and keep sensitive records inside your own infrastructure.
Layer three: specialists against measured pain
Only buy a specialist tool when you can name the bottleneck and the hours it consumes. 'Design takes three days per campaign' justifies an image tool; 'it looked impressive' does not.
Set a review date at purchase. Any tool below 30% seat usage after a quarter gets cancelled without debate.
References
- [1] Team AI adoption benchmarks — sortblogging research
- [2] n8n pricing documentation — n8n.io
Frequently asked questions
What should a five-person team budget?
Roughly $100-$250 per month covers assistant seats plus one automation plan; specialist tools should be justified case by case.
Should we self-host anything?
Only if you have someone who owns operations and a genuine data-residency requirement.