Naia AI Assistant — Internal Business Plan

Naia

Internal business plan

A six-month commercial pilot for Newzoo's AI Assistant — designed to gather client feedback, protect existing revenue, and test a sustainable pricing model.

01 · The core question

Can Naia increase client value and retention more than it increases AI usage cost?

For the pilot, the goal is not to get pricing perfect from day one. The goal is to learn how clients use the assistant, what value they attach to it, and which commercial setup feels fair to both Newzoo and customers.

02 · Why this matters

Naia changes the way clients access Newzoo data.

01

Faster time-to-insight

Clients can ask direct business questions instead of navigating multiple dashboards, reports, filters and exports.

02

Higher perceived value

The same data becomes more accessible to more users inside the client organization.

03

Stronger differentiation

Newzoo moves from static data access to an answer layer on top of proprietary games intelligence.

Positioning principle: Naia should be framed as a premium productivity layer on top of Newzoo data — not as “paying twice” for the same data.

03 · Commercial tension

The value is clear, but the economics are different.

Current Newzoo model

Typical annual client spend €50k–€500k

Commercial motion Annual

Client expectation Predictable

Clients are used to fixed annual subscriptions for products and datasets.

Naia model pressure

Estimated average cost per prompt ~€5

Cost behavior Variable

Risk Volatile

Each answer can carry real cost, depending on retrieval, context, reasoning depth and model usage.

04 · Business risks

What we need to avoid.

Risk 1

“Paying twice” perception

Clients already license the data and may resist paying again just to retrieve it differently.

Risk 2

Cost unpredictability

Usage-based pricing may clash with enterprise procurement and annual budget expectations.

Risk 3

Margin leakage

Heavy use by a small number of accounts could create meaningful, uncapped AI costs.

Risk 4

Cannibalization

If positioned poorly, Naia could make current products feel less necessary rather than more valuable.

05 · Recommended pilot approach

Start with included usage, measure everything, and test willingness to pay later.

Commercial setup for pilot

Invite a small set of trusted clients.
Include Naia at no extra cost during the pilot.
Set a soft monthly usage allowance per account.
Do not bill overages yet, but make usage visible internally.

Why: charging too early could reduce learning. A controlled pilot gives Sales and Account Managers room to observe perceived value without triggering procurement friction.

Naia assistant answer view / sourced response

06 · Pricing models to test

The likely answer is not pay-per-prompt.

Model	Client experience	Newzoo upside	Recommendation
Included credits Monthly or annual allowance	Predictable, feels fair	Controls cost and supports expansion	Test first
Tiered access Higher limits in premium tiers	Fits existing packaging	Supports upsell motion	Promising
Credit packs Buy more when needed	Flexible but slightly transactional	Recovers cost from heavy users	Use as overage
Pure pay-per-prompt	Unpredictable and may discourage use	Direct cost recovery	Avoid as default

07 · Packaging direction

Make Naia feel like a subscription enhancement, not a meter.

Base access

Included with eligible data products

A meaningful monthly allowance for clients who already license the relevant datasets.

Expansion

Higher AI limits in premium tiers

Use Naia to support enterprise upgrades, more seats, broader data coverage and renewal conversations.

Control

Fair-use and overage bundles

Protect margin without making every question feel expensive or risky to the user.

Predictable annual commitment Visible usage dashboard Soft limits during pilot No surprise invoices

08 · What we need from Commercial & Account Management

This pilot should be a feedback engine.

Questions to validate with clients

Which workflows does Naia improve most?
Does it make the existing subscription feel more valuable?
What usage level feels “included” and fair?
What pricing would create pushback?
Would Naia influence renewal or expansion?

Client usage dashboard / prompt analytics

09 · Six-month learning plan

Use the runway to de-risk value, adoption and margin.

Month 1 Select pilot clients, define usage limits, align sales messaging.

Month 2 Launch controlled beta, capture first reactions and prompt patterns.

Month 3 Identify high-value workflows and support/account-manager objections.

Month 4 Test packaging language: included credits, premium tiers, fair use.

Month 5 Model cost scenarios and account-level commercial impact.

Month 6 Recommend launch packaging and sales enablement approach.

10 · Success metrics

What would make this worth scaling?

Product & client value

Repeat weekly usage by pilot accounts
High satisfaction with answer quality and sources
Clear examples of time saved or better decisions
Usage across multiple user types, not only power users

Commercial viability

Cost per account remains within acceptable guardrails
Commercial teams see renewal or expansion potential
Clients accept included credits / fair-use framing
No strong evidence of product cannibalization

11 · Decision after pilot

The likely commercial path.

If the pilot validates value, Naia should launch as a premium AI layer with included usage tied to subscription size, plus clear expansion paths for higher-volume clients.

Recommended default: include a fair allowance in eligible subscriptions, sell higher limits through premium tiers or credit bundles, and avoid pure pay-per-prompt unless clients explicitly ask for maximum flexibility.

12 · Discussion

What we need feedback on now.

Client selection

Which accounts are best suited for a constructive pilot?

Commercial framing

Which wording will feel fair to clients that already pay for Newzoo data?

Packaging risk

Where do you expect the strongest pushback from buyers, users or procurement?