Frequently Asked Questions

Suggested prompt: “Given our pricing metric (per employee/site/etc.), propose a minimum AI uplift ($Y), and generate three revenue scenarios including partner margin impact and SBAI share.”

The minimum monthly platform fees include:

Sandbox access for development/testing
Authentication (e.g., Auth0 tenancy support where applicable)
Technical integration support
Partner success support (enablement + launch support)

Once Y is agreed, SBAI receives 50% of the AI uplift, i.e. Y/2 per metric unit.

Example (per employee pricing):

You charge $X per employee/month for your core platform
We agree a minimum AI uplift of $Y per employee/month
Customer pays $X + $Y per employee/month
SBAI receives $Y/2 per employee/month

You keep the remaining portion of the AI uplift, plus all of your core platform revenue.

In practice, you pay the higher of:

the relevant monthly platform minimum (based on how many AI engines you take), or
the revenue share amount (based on the agreed AI uplift Y and your chosen pricing metric)

This ensures there is always a workable baseline while you ramp, and that we scale together once the AI module is widely monetised.

Separately from revenue share, we publish minimum monthly platform fees that include sandbox access, Auth0, technical support and partner success support:

$750 / month for 1 AI
$1,250 / month for 2 AIs
$1,500 / month for 3 or more AIs (future‑proof for ERP/SCM partners who may take more engines over time)

Y is the minimum price level for the AI package per unit of your chosen metric (e.g., $Y per employee/month). We agree Y based on:

the number of AI engines you take (e.g., Forecasting only vs Forecasting + Demand + Scheduling), and
the value those engines deliver in your vertical and typical customer use cases.

If you adopt more engines, we typically agree a higher Y because the value delivered (and the module scope) increases.

That’s fine. The agreed Y is a minimum pricing level for the AI package, not a cap. If your AI module price is higher, we apply the same principle: SBAI receives 50% of the attributable AI uplift as agreed in the commercial model.

(We typically keep this simple by agreeing a clear “AI uplift” line item or an attributable portion of a tier uplift.)

Yes. Minimum staffing constraints per site, area or role can be configured to ensure safe operation and compliance with regulations.

Yes. Having enough staff available during busy periods increases conversion rates and basket size, particularly in retail and hospitality. Better coverage of peak times means fewer missed sales and improved service.

By predicting demand more accurately and linking it directly to staffing rules, AI forecasting shows where staff levels are too high or too low. Schedules can then be adjusted to avoid costly idle time and damaging understaffed shifts.

Consistent product availability and adequate staffing lead to shorter queues, faster service and fewer “out of stock” disappointments. This typically improves customer satisfaction scores and repeat business.

AI Labour Demand Forecasting (Solution) maps to Demand AI (Engine).