Forethought does not publish fixed rates for its platform. All primary tiers—including Team, Professional, and Enterprise—are priced via custom quotes based on the specific needs and volume of the organization.
Support and finance leaders must engage with sales to determine the cost of add-ons such as Multibrand management, Analytics APIs, and the Discover tool. For those using Zendesk, Forethought AI agents are billed on a usage-based structure, aligning costs with the volume of automated interactions.
Verified pricing (official source)
| Plan / rate |
Verified price |
Unit |
Notes |
| Forethought — Team |
Custom — contact sales |
other |
Contact sales for a quote. |
| Forethought — Professional |
Custom — contact sales |
other |
Contact sales for a quote. |
| Forethought — Enterprise |
Custom — contact sales |
other |
Contact sales for a quote. |
| Forethought — Multibrand (Add-on) |
Custom — contact sales |
other |
Contact sales for a quote. |
| Forethought — Analytics API (Add-on) |
Custom — contact sales |
other |
Contact sales for a quote. |
| Forethought — Discover (Add-on) |
Custom — contact sales |
other |
Contact sales for a quote. |
| Zendesk + Forethought — Forethought AI agents |
Custom — contact sales |
usage based |
Contact Sales for pricing. Integrates with current setup/stack. |
Every price above was retrieved from the official vendor page. Plans without a published number are shown exactly as the vendor states them — never estimated.
How should buyers evaluate Forethought's custom tiers?
Forethought structures its offerings into Team, Professional, and Enterprise plans. Because these are quote-based, the total cost of ownership will likely depend on the scale of your support team and the level of administrative control required. Organizations managing multiple distinct brands or requiring deep data integration will need to factor in the custom costs for the Multibrand and Analytics API add-ons.
What are the implications of usage-based billing?
The integration of Forethought AI agents with existing stacks like Zendesk moves the cost structure toward a usage-based model. This allows for closer alignment between spend and actual volume, but it requires finance teams to forecast support demand accurately to prevent budget variance. The Discover add-on can be used to surface automation opportunities, which helps in predicting which volumes can be transitioned to these usage-based AI agents.
To determine if Forethought pays back, finance leaders must weigh the custom contract and usage fees against the reduction in manual labor hours. The primary metric is the cost per resolved ticket compared to your human-only baseline. NetLift enables you to automate this calculation, tracking how much time is actually reclaimed by the AI and whether that efficiency offsets the platform's custom pricing and usage rates.
Sources
All pricing on this page comes from official vendor pages: