Small companies have the most to gain from automation and the least capacity to implement it. That combination is why most AI advice written for enterprises is useless below 100 people.
- ›What small companies should automate first
- ›Realistic costs
- ›The two-week starting plan
- ›Where small companies waste money on AI
What to automate first
The ranking that works when nobody has spare time: frequency times annoyance, divided by risk.
For most small companies, that produces roughly this order:
Notice that the first three need no AI at all. They are rules, and rules are cheaper and more reliable. See AI agents vs automation.
Realistic costs
Two models exist, and the difference matters at small scale.
Per-seat AI tools charge per person per month. For a 15-person company, several such tools reach a meaningful monthly number regardless of use.
Usage-based AI charges for work done. In Brainis a credit covers roughly 2,000 tokens; a quick answer costs about 2 credits and an agent run about 5. A small company running a handful of weekly agents and asking daily questions typically operates inside a few hundred credits a month.
The practical advice: avoid committing to per-seat AI pricing before you know your usage pattern. Usage-based pricing lets you find out what you actually need.
The two-week starting plan
Week 1: remove chasing.
- ›Turn on overdue detection for invoices and tasks.
- ›Automate handoff notifications.
- ›Set up one recurring report that someone currently assembles manually.
None of this requires AI, none of it changes anyone's workflow, and it removes the most annoying work in the company.
Week 2: add one AI job.
- ›Pick the single recurring task that people most dislike and that has cheap failure.
- ›Set it up in suggest mode, read its output daily, and adjust.
- ›Do not add a second until the first is genuinely useful. See deploy your first AI agent.
That is the whole plan. Companies that try to do more in two weeks generally do less.
Where small companies waste money
Buying tools before defining problems. The AI purchase that starts with "we should use AI" ends unused.
Per-seat licenses for occasional users. Paying monthly for people who use something twice a quarter.
Automating a broken process. It encodes the problem and makes it harder to fix.
Custom development. Building an internal AI tool for a problem that has a product. The maintenance outlives the enthusiasm.
Too many agents at once. Five agents nobody reviews cost more and deliver less than one that works.
Tip: Track one number: hours per week spent on work you wish nobody had to do. If automation is not reducing it, you are automating the wrong things regardless of how impressive the demo was.
What not to automate
Anything customer-visible without review, anything involving money leaving the company, anything about a specific person, and anything that happens twice a year.
FAQ
Do we need someone technical?
For the automation described here, no. Anything requiring a developer is out of scope for a company this size, and that is a feature of the advice rather than a limitation.
What if we have no budget?
Start with what is included in tools you already have, and prefer platforms whose free tier is complete rather than crippled. Brainis includes all 11 modules free with a monthly credit allowance.
How do we know it is working?
Ask the team whether the annoying work decreased. That is a better measure than any dashboard.
Brainis includes automations, AI agents, and Cortex across every module, on every plan with usage-based AI pricing. See pricing.
Keep reading in this series
- ›Calculating AI ROI honestly
- ›AI implementation for SMBs: a 90-day plan
- ›Usage-based AI pricing
- ›Business process automation examples
- ›The workflow automation playbook
- ›Using AI in Slack without creating noise
- ›Calendar automation
- ›How to choose AI tools for your business
- ›Free business software that is actually free
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