AI Features
Floatless's AI features are opt-in and narrowly scoped: they must point at actionable revenue state, not decorate the screen. Today that means one flagship tool — the AI Pricing Architect — plus an AI briefing card on the dashboard.
When should I read this?
- You are launching a new product and staring at a blank pricing page.
- A founder says "charge what the market bears" and you need a defensible starting structure.
- You want to know why the dashboard's AI briefing says what it says.
Use cases
| Scenario | What you do |
|---|---|
| New SaaS product, no pricing tradition yet | Describe the business in a few sentences; apply the recommended three-tier strategy as product drafts. |
| Benchmark an existing price list | Generate a strategy for the same description and compare structure and price points against your catalog. |
| Explain a pricing recommendation | Every tier card carries the AI's reasoning quote — use it to justify the proposal internally. |
Enable AI features
AI is off by default. Go to Settings → Features and switch on AI Features (Beta). The sidebar gains Catalog → Pricing Assistant, and the dashboard briefing card becomes live. The feature is powered by OpenAI models and caches results for 24 hours.
Generate a pricing strategy
Open Catalog → Pricing Assistant.
Describe the business
Write at least a sentence (up to 1000 characters): what the product does, who buys it, and what value it delivers. Concrete descriptions produce concrete tiers — mention the target customer and the unit of value.
Generate
Click Generate Strategy. While it works, the page narrates the steps: analyzing the business model, calculating margins, designing tiers, optimizing price points.
Read the proposal
You get:
- A Business Analysis card summarizing the positioning the pricing is built on.
- Three tier cards — typically good / better / best — with the middle tier highlighted as Recommended. Each shows monthly and annual prices and a feature list (included vs. excluded), plus an AI insight explaining the tier's role.
Apply it (or start over)
Apply Strategy creates one product per tier in your catalog, named from your description — drafts you can edit before anything is sellable. Not happy? Start Over and refine the description. Past generations are kept in the History panel; clicking one restores its strategy.
From proposal to production
Generated products are drafts of a pricing conversation, not a decision. Before selling:
- Check every price against your costs and market — the AI has no access to your unit economics.
- Right-size features per tier in the product editor.
- Validate the tier structure with the pricing models reference so the catalog behaves the way you quote it.
The dashboard briefing
With AI enabled, the dashboard shows a briefing card summarizing the period's revenue state — headline plus a short body, color-coded by sentiment. It is a pointer, not a verdict: every claim traces to visible numbers (revenue, overdue invoices, churn) on the same page.
Responsible use
- Treat generated pricing as a first draft — a human approves every price before it bills a customer.
- Do not paste customer-identifying or secret data into the business description; describe the business, not individuals.
- Verify AI dashboard claims against the underlying numbers before repeating them to customers or leadership.
Common issues
- The menu item is missing. AI features are disabled for your organization — enable them in Settings → Features (owner/admin only).
- Generation fails or is generic. The description is probably too thin; name the customer, the value unit, and the market.
- Applied products look wrong. They are drafts — edit or archive them from the product list; nothing is billed until a product is sold.