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AI Product Fit Check · €499 fixed

Where does AI actually belong?

Not every product needs AI. Not every AI direction is worth the cost. The Dragonform AI Product Fit Check is a 72-hour review that tells you exactly where AI fits in your product, what it will cost to run, and whether it is worth building at all.

Book AI Fit Check See What You Get

Used by founders, agencies, and product teams to validate AI before build.

Idea / Prototype›
AI Fit Check›
Product Decision›
30-Day Plan
€499 fixed
72-hour turnaround
30-min call
AI PRODUCT FIT CHECK PACK
v1.0
Product Snapshot
AI Fit Scorecard
AI Opportunity Map
Cost Exposure Snapshot
Final Recommendation
30-Day Plan
Recommendation72h
Core
Feature
Internal
Later
Leave out
Rethink
Evidence

Building with AI is cheap. Being wrong is expensive.

AI adoption is everywhere, but useful AI products are still hard to build, scale, and monetise.

30% of GenAI projects may be abandoned

Gartner predicted that at least 30% of generative AI projects would be abandoned after proof of concept by the end of 2025, citing poor data quality, inadequate risk controls, escalating costs, and unclear business value.

Source · Gartner, 2024
Most AI work still struggles to show value

MIT NANDA's 2025 State of AI in Business report found that 95% of organisations in its study were getting zero measurable return from GenAI, with many pilots stuck without P&L impact.

Source · MIT NANDA, 2025
Technology-first AI is a common failure path

RAND found that AI projects often fail when teams focus on using the latest technology instead of solving a real problem for intended users.

Source · RAND, 2024
Adoption is high. Scaling is harder.

McKinsey's 2025 AI survey found that 88% of organisations report regular AI use in at least one business function, but only around one-third have begun scaling AI across the enterprise and 39% report EBIT impact.

Source · McKinsey, 2025

The AI Product Fit Check exists for the gap between “we can build this” and “this is actually worth building.”

Cost Exposure

What could the wrong AI direction cost?

Estimate the cost of building, marketing, and maintaining an AI feature or product before validating whether it should exist.

Inputs
Estimated cost exposure
€0
Enter values to estimate exposure
Book AI Fit Check
Main Offer

AI Product Fit Check

€499 fixed · 72-hour turnaround · one clear product decision. For teams building a product and wondering whether AI should be part of it.

Fixed-price fit check
€499/ 72-hour turnaround
Book AI Fit Check

Dragonform reviews the idea, product, user journey, business logic, costs, and AI opportunity, then gives you a practical AI Fit Memo.

You get:
  • 30-minute fit/check call
  • Product / prototype / idea review
  • AI opportunity map
  • Product viability review
  • UX and journey feedback
  • Cost exposure snapshot
  • Token / API / maintenance risk review
  • Positioning and monetisation notes
  • Final AI recommendation
  • 30-day action plan
Why not just ask ChatGPT?

ChatGPT will tell you your idea is promising. A dev agency will offer to build it. An AI consultant will charge day rates to think about it. The AI Product Fit Check is none of those things. It is a structured 72-hour decision document with a fixed scope, a fixed price, and one clear recommendation. No retainer. No ambiguity. No vague AI opinions.

Some AI ideas are products. Some are features. Some are distractions with a pricing page.
Outputs

What you walk away with

Not vague AI advice. A practical AI Fit Memo.

AI Fit Scorecard
A scored assessment of problem clarity, AI usefulness, user trust, commercial viability, and execution risk.
AI Opportunity Map
Where AI could genuinely improve the product, workflow, or user journey — and where it should not be used.
Cost & Risk Exposure
Estimate of money and time at risk given the current AI direction. Token costs, API dependency, maintenance burden, data/privacy risks, and operational complexity.
30-Day Action Plan
Practical next steps based on the recommendation: validate, simplify, test, launch, or stop.
30-minute check call
Included before the review to clarify product, users, business model, and AI assumptions.
The most important deliverable
Final Recommendation

One clear answer: make AI core, add it as a feature, use it internally, save it for later, leave it out, or rethink the product.

Process

How the AI Fit Check works

A simple process designed to avoid endless calls and vague AI opinions.

Step 1
Submit the product
Send your product link, prototype, landing page, demo, or idea summary. Include target users, stage, business model, and where you think AI may fit.
(~10 minutes from you)
01
Step 2
30-minute check call
We clarify the product, intended users, business model, AI assumptions, risks, and what you need to decide next.
(30-minute call)
02
Step 3
Dragonform review
The product is reviewed through a product, UX, commercial, AI, cost, risk, and execution lens.
(no input needed from you)
03
Step 4
AI Fit Memo
You receive a practical memo with scorecard, opportunity map, cost exposure, risks, recommendation, and 30-day plan.
(delivered within 72 hours of the check call)
04
Start the AI Fit Check
Upgrade

If the memo says keep going — here's what's next.

The AI Fit Memo gives you a recommendation. These two services are for teams that want to act on it.

Product Fix Sprint
from €1,500

For teams that need to turn the AI Fit Memo into sharper positioning, cleaner UX, better product scope, pricing logic, and a practical roadmap.

Best for
  • Promising products with poor clarity
  • Founders preparing to pitch or launch
  • Agencies helping clients reshape an AI product
  • Teams that need better product assets before development
Ask About a Fix Sprint
MVP / GTM Execution Pack
from €3,000

For teams that need PRD, backlog, roadmap, launch plan, analytics assumptions, and development-ready product structure.

Best for
  • Products moving beyond prototype
  • Teams preparing for build or relaunch
  • Founders needing investor / customer-facing clarity
  • Agencies needing structured delivery assets
Discuss an Execution Pack
Fit

Who this is for

AI Founders
You built something fast and now need to know whether it can become a business.
Indie Hackers
You have a prototype but need a product and cost check before going deeper.
Agencies
Your client wants AI, but the brief is vague, risky, or commercially undercooked.
Your client wants AI. The brief is vague. You need something structured to scope the work, protect your margins, and give the client a clear product decision before build starts.
SMEs
You want to add AI to a product or workflow but need clarity before spending more.
Accelerators
Your cohort is full of prototypes, but founders need sharper product, GTM, and execution thinking.
Product Teams
You need an outside review of an AI feature, prototype, or early MVP before committing resources.
Before your team spends a sprint on an AI feature that gets descoped, get a structured external review that either validates the direction or gives you ammunition to push back.

This is for people who need a useful decision, not another inspirational AI call.

Case Studies

Case studies

Selected examples of Dragonform work across AI-assisted products, legaltech, education, creative tools, product audits, and MVP execution.

Featured
AI / eCommerce / Product Execution

PromoLens — from idea to MVP

An AI-driven eCommerce product supported from early concept through product decision-making, MVP definition, user flows, documentation, and delivery planning. Dragonform reviewed where AI should sit in the product, scoped the core feature set, and produced delivery-ready documentation.

View Project
Strongest commercial AI case
  • Idea-to-MVP product execution
  • AI applied where it actually helps
  • Clear product documentation
  • Delivery-ready structure
Creative AI / Publishing / Music

Colourblind — AI-assisted poetry, illustration and music launch

A creative publishing project turning original poetry into a full digital launch experience with AI-assisted visuals, music, storytelling, and a public-facing book campaign.

View Project
Team Tools / Physical Product / Reflection

Debrief — turning team conversations into action

A physical facilitation product built around a decision die and structured prompts, designed to help teams move from vague discussion to practical next steps.

View Project
Legaltech / Online Dispute Resolution

Договорено — online dispute resolution concept

A legaltech concept for accessible online dispute resolution, using structured intake, guided negotiation, settlement flows, and clear next-step logic.

View Project
Edtech / Service Productisation

ExamPian — GCSE revision service launch kit

A personalised GCSE revision auditing and planning service shaped into clear packages, pricing, positioning, and client-facing material.

View Project
AI Product Ops / Validation

Forge — founder idea to validation pack

A founder's raw idea turned into validation brief, PRD, competitor analysis, pitch deck, and 90-day roadmap. Dragonform applied product judgment to determine what to build, what to defer, and what the AI component should actually do.

View Project
Sample

What the AI Fit Memo looks like

The memo is a practical decision document — not a slide deck, not a strategy presentation. Here is what a typical memo covers.

AI Fit Memo · Sample structure
v1.0
1
AI Fit Scorecard

Scored assessment across five dimensions: problem clarity, AI usefulness, user trust, commercial viability, execution risk.

2
AI Opportunity Map

Where AI adds value in the product, where it does not, and what should stay manual.

3
Cost & Risk Exposure

Money and time at risk given the current AI direction, plus token and maintenance cost estimates.

4
30-Day Action Plan

Concrete next steps based on the final recommendation.

5
30-minute check call

Intake and clarification before the review begins.

6
Final Recommendation

One of six clear options, with supporting rationale.

Full memos are delivered to clients after the check call. Contents are kept confidential.
Book AI Fit Check — €499 fixed · 72 hours
FAQ

Common questions

Why Dragonform

Why Dragonform

Dragonform is a specialist product execution practice with over 15 years of experience delivering AI-assisted products across legaltech, fintech, insurtech, SaaS, and regulated industries. The AI Product Fit Check is built on product, commercial, and cost judgment — not model architecture or vendor sales.

What informs the review
  • Early commercial legal AI workflow automation deployed across UK law firms
  • AI-assisted product delivery at scale across 6 countries and 3 continents
  • AI-assisted onboarding across 9 markets with measurable operational cost savings
  • Current LLM workflow integration and compliance product delivery in B2B SaaS
  • Legal domain background — regulated-industry product risk judgment applied to AI
What this covers
  • Whether AI solves a real user problem in your product
  • Where AI belongs in the user journey
  • Whether the AI use case is commercially viable
  • Whether token, API, and maintenance costs have been accounted for
  • Whether the product can be positioned and sold clearly
What this does not cover
  • Model selection, training, or fine-tuning
  • Technical AI infrastructure or architecture
  • Legal or regulatory compliance advice
  • Market research or competitive intelligence
  • Guaranteed commercial outcomes
Contact

Ready to find out where AI belongs?

Send the product, prototype, landing page, or idea. Dragonform will check whether the AI Product Fit Check is the right next step.

Quickest path
Book a 15-minute fit call
A short call to check whether the AI Product Fit Check is right for your product.
Book a 15-minute fit call
Email
contact@dragonform.me
LinkedIn
/company/dragonform

Quickest path: email contact@dragonform.me directly, or fill in the form below.