AI Plans: Free or Paid — How to Decide

"Start free" and "our team can keep using it free" are different statements. A limit that is generous for one person can hit bottom within a day at team scale. This post lays out the order for comparing free and paid on the basis of work.

The moment the free plan runs out

Free limits usually bind in three places.

1. Usage — conversations per day or month, file uploads, input length
2. Features — long documents, file analysis, speaker separation and search are often paid-only
3. Administration — no permissions, no audit, no central management

Individuals hit limit 1; teams usually hit 3.

Criterion 1: recalculate the limit for the team

Divide the free limit by the number of people.

Daily available amount per person = free limit ÷ headcount

If the free limit is "N times a day", then in a team of 10 it is N/10 per person. If that is less than real usage, you need to pay. Starting with "it will be fine for free" without this calculation means deciding again within a week.

Criterion 2: is the blocking feature core to the work?

If a paid-only feature is core to your work, free is meaningless.

Feature	Free	Weight in our work
Long document input	Limited	Core if you handle contracts or reports
File analysis	Limited	Core if you handle tables or data
Search and sources	Limited	Core if you handle current information
Admin control	None	Required for organizational adoption

Fill in the table and "is free enough" answers itself.

Criterion 3: data policy

Free plans often use your input data for training. If you enter work documents or customer information, this single item may justify paying. Check:

• Whether input is used for training and whether it can be turned off
• Retention period
• Deletion and export
• Admin access control

See handling personal data in AI work.

Criterion 4: admin and permission features

For team adoption, free is usually not enough.

• Can accounts be added and removed centrally
• Is there a record of who used what
• Can accounts of people who left be cleaned up
• Is billing managed in one place

Without these, people manage by hand, and that time costs more than the subscription.

Criterion 5: overage structure

Usage-based pricing carries the risk of overage charges.

• How is billing applied when the limit is exceeded
• Can a ceiling be set
• Are there alerts that stop unexpected spikes

Flat-rate plans are easy to predict; usage-based plans start cheap but need ceiling management. Set a monthly ceiling with whoever owns the budget.

When to move from free to paid

Consider the switch if any of these apply.

• The team limit runs out within a week
• Core work is blocked by a paid feature
• Work data must be entered but the training policy blocks it
• Accounts grow without admin control

Keep it free if instead:

• There is little repetitive work
• No one will verify the output
• No sensitive data will ever be entered

Experiment before switching

Do not roll out to the whole team at once.

1. Start paid for the 10–20% of people with the most work.
2. Record time saved and errors for one month.
3. Check whether the net effect is larger than the cost.
4. Decide to expand, keep, or stop.

The method is in calculating ROI per user for an AI tool.

Common mistakes

• Judging a team rollout by per-person limits
• Not checking the training policy
• Not setting an overage ceiling
• Starting everyone on a paid plan
• Running free and paid at once so the bills overlap

Checklist

• Divided the free limit by headcount
• Checked whether paid-only features are core
• Checked training, retention and deletion policies
• Decided whether admin features are needed
• Set an overage ceiling
• Chose who takes part in the trial

Overlapping bills are covered in the AI and SaaS subscription audit, and tool selection criteria continue in 7 criteria for choosing AI and SaaS tools.