Olakai operates on a transparent per-seat monthly subscription model. The Assistive tier is priced at $5 per employee per month, while the Agentic tier, tailored for developer workflows, costs $25 per month per seat.
Deployment flexibility is a core feature of the pricing structure. Organizations can choose between hosting on the Olakai cloud or deploying within their own cloud environment at the same price points, allowing for consistent budgeting across different security requirements.
Break-even value per seat
| Plan |
Price / seat / month |
Hours to break even at $50/h |
Hours to break even at $75/h |
Hours to break even at $100/h |
| Olakai Assistive — Olakai Assistive |
$5 |
0.1 h |
0.1 h |
0.1 h |
| Olakai Agentic — Olakai Agentic |
$25 |
0.5 h |
0.3 h |
0.2 h |
Break-even hours = seat price ÷ loaded hourly cost. Each seat pays for itself once it saves that much verified time per month.
How does the break-even value compare across tiers?
The financial threshold for a positive return on Olakai is exceptionally low. For the Assistive plan, a user only needs to save 0.1 hours (6 minutes) per month to cover the $5 seat cost, regardless of whether their loaded hourly rate is $50 or $100.
For the Agentic tier at $25 per month, the break-even point remains low. At a loaded rate of $100 per hour, a developer only needs to save 0.2 hours per month to justify the spend. Even at a lower $50 hourly rate, the tool pays for itself within 30 minutes of saved time.
What are the costs for enterprise scaling?
Budgeting for larger teams remains predictable as there are no hidden tiers. A 100-user deployment on the Assistive plan costs $500 per month, or $6,000 annually. Scaling the Agentic plan to 250 users results in a monthly expenditure of $6,250. These figures represent the total seat cost before factoring in any infrastructure expenses associated with customer-cloud deployments.
To move beyond simple cost-tracking, organizations must measure the actual time recovered from automated or assisted tasks. By using NetLift to baseline manual workflows and compare them against Olakai-enabled output, AI leaders can prove the net return on every seat. This evidence-based approach ensures that AI spending is treated as a value driver rather than a flat overhead cost.
Sources
All pricing on this page comes from official vendor pages: