AI companies ship powerful capability and then bury it under three tiers nobody can tell apart, usage units nobody can forecast, and an enterprise plan that just says 'Contact Sales'. We design the packaging – editions, entitlements, and the page – so a buyer knows which plan is theirs in seconds.
The Problem
Tiers built around features, not the buyer who reads them
Most AI plans pages list model access, context windows, and rate limits down three columns and call it packaging. A practitioner testing an API and a VP buying a team rollout land on the same wall of checkboxes. Neither sees a plan addressed to them, so the practitioner stalls in free and the VP books a call to ask what they pay.
Usage pricing that buyers cannot forecast before they commit
Tokens, credits, compute units, and seats stacked together produce a bill no buyer can model in advance. Finance will not sign off on a number they cannot predict, so deals slow or shrink to a cautious trial. The packaging punishes the expansion the company needs.
One plan structure forced across PLG and sales-led motions
An AI company often sells bottoms-up to developers and top-down to enterprise buyers at once. A single tier ladder cannot serve both: self-serve buyers need an instant, transparent path from free to paid, while enterprise buyers need security, SSO, and procurement terms framed as a deliberate edition. One ladder leaves both underserved.
Enterprise is a black box that kills momentum
When the top tier is a blank 'Talk to us', the buyer with budget loses the thread. They cannot tell whether enterprise means more usage, more security, more support, or all three, so they stay on a plan that does not fit rather than enter a sales process with no anchor. The most valuable segment gets the least.
How We Help
We start from the buyer, not the feature list. The first job is to name the two or three segments that actually pay you – the solo builder, the growth-stage team, the enterprise account – and write down what each needs to see before committing. Packaging is a buyer-comprehension problem before it is a pricing problem, and most AI companies skip to the price.
From there we design the edition structure. Free proves value fast and qualifies intent. Pro is the plan a serious team upgrades to without a call, with entitlements that map to how that buyer grows. Enterprise stops being a black box: we spell out what it includes – security, SSO, dedicated support, usage commitments – so the buyer with budget recognizes their plan.
We fix the usage model so buyers can forecast their bill: a primary unit a buyer can reason about, included allowances per tier, and upgrade paths that feel like a planned step, not a surprise charge. The goal is a number finance will approve, because predictability moves a deal from trial to contract.
This packaging fits both your motions at once. Self-serve buyers get a transparent ladder they can climb alone, with the upgrade trigger built into the product. Sales-led buyers get an enterprise edition framed for procurement. Then we name and present the editions – plan names, the promise under each, the column order, the default plan we steer buyers toward – because a pricing page is a sales rep that works while you sleep.
We pressure-test the packaging against real buyer reactions, watching where people who match your segments hesitate, then reshape it before launch. Finally we hand you the system to run it – the edition map, the entitlement logic, the page design, and the rules for evolving the offer.
What we deliver
- Buyer segment map tied to the specific plan each segment should pick
- Edition structure across free, pro, and enterprise with entitlements per tier
- Usage model with forecastable units, included allowances, and upgrade paths
- Plan naming, positioning lines, and column ordering for the pricing page
- Pricing-and-packaging page design ready for design and engineering handoff
- Enterprise offer framing with the negotiable levers defined for sales
Packaging is the first thing a buyer reads and the last thing AI companies design. Capability earns the visit; the edition structure decides whether they buy, and a page that forces buyers to guess loses the ones with the most budget.
Our Methodology
Our packaging work runs as a structured engagement, not a deck. Phase one is discovery: we interview sales, success, and a sample of paying and churned customers to learn which segments pay, what they expected to pay for, and where the plans confuse them.
Phase two designs the editions and the usage model in parallel with the page – the tier ladder, entitlements per plan, the usage unit and allowances, and the enterprise offer. Phase three validates the packaging against buyers who match your segments and hands off a working system, not a slide.
How We Work
A packaging engagement typically runs 6 to 10 weeks. The first two weeks are discovery: buyer interviews, sales and success conversations, and a teardown of your current plans. Weeks three through six design the edition structure, the usage model, and the page. The final weeks validate the packaging against real buyer reactions and produce the handoff.
Our team pairs a packaging strategist who owns the offer design with an operator who has built pricing pages and entitlement logic inside software companies. From your side we need product leadership, growth data, and a few customers willing to talk. Each week closes on a resolved question – which segments, which tiers, which usage unit, which enterprise levers – so the packaging ends as a set of choices you can defend to your board, not a pile of options.
- Higher free-to-paid conversion when the upgrade path matches how buyers grow
- Shorter sales cycles when enterprise buyers recognize their plan before the call
- More predictable expansion revenue from a usage model finance can forecast
- Fewer pricing questions in the funnel when the page answers them first
If your ai / machine learning company needs packaging design leadership, we should talk.
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Frequently asked questions
How much does a packaging design engagement cost for an AI company?
Most engagements run between $25K and $60K depending on how many buyer segments you serve, whether you sell PLG, sales-led, or both, and how much of the usage model needs rebuilding. A single-motion company with a clear segment sits lower; one juggling self-serve and enterprise sits higher. That is far less than the revenue a confusing plans page loses.
How long does it take to redesign our plans and packaging?
A typical engagement runs 6 to 10 weeks from kickoff to handoff. The first two weeks are buyer research and a teardown of your current plans, the middle stretch designs the editions and the page, and the final weeks validate the structure against real buyers. You will have a defensible edition map in the first month and a shippable design by the end.
How does this work integrate with our product and engineering teams?
We design the entitlement logic and the page to hand off directly, so your engineers receive a clear specification rather than a slide they have to interpret. We stay involved through the build to answer questions about edge cases in the usage model and plan limits. We do not write your billing code, but we define what it must enforce.
What makes Winston Francois different from a pricing consultant?
Most pricing consultants stop at a willingness-to-pay study and a recommended number. We treat packaging as the offer itself – the editions, the entitlements, the usage units, the naming, and the page – designed as one system and shipped as artifacts built for handoff. And we design for how AI companies actually sell, across self-serve and enterprise at once, not one ladder forced onto two buyers.
Why should packaging come before more demand generation spend?
Spending more to send traffic at a plans page buyers cannot parse just raises your cost per confused visitor. Packaging sits at the conversion point where intent turns into revenue, so a clearer edition structure lifts the return on every dollar you spend acquiring buyers. We routinely find companies pouring budget into the top of the funnel while the offer at the bottom leaks the buyers with budget.
Is this a fit for an early-stage AI company still finding its model?
It fits best once you have paying customers and enough usage data to see how buyers consume the product, which is usually Series A through growth stage. If you are pre-revenue and still hunting for the core use case, packaging is premature; you need real buyers before the editions can be grounded in evidence. For a company with traction and a stale plans page, this is the right moment. The first step is a working session to map your segments to the plans they should pick.
