Product definition
Identify the audience, workflow, assumptions, and the evidence you need from a first release.
Services / AI product development
AI product development, from idea to first release.
Advenno develops AI products and MVPs around a complete user task: the interface, application logic, data and AI capability. Bring an idea or prototype, and we will define a focused first release that users can try and you can evaluate.
01 / Scope the first useful version
A product needs more than a model response.
AI product development includes the application around the capability: how users enter information, review a result, correct a mistake, and finish their task. A useful MVP gives you a way to test that complete journey with a defined audience.
We work backward from the decision the first release should enable. That might be whether users can complete a particular task or whether the output meets a domain expert's criteria. Features that do not help answer that question can wait.
The working application
Scope the interface, data model, user access, AI capability, and deployment needed for that journey.
A learning loop
Make failures reviewable and gather the observations that can guide the next product decision.
02 / Build with a decision in mind
Agree what the first release must prove.
Bring your understanding of the audience, example inputs, access to someone who can assess output quality, and the constraints around data and budget. A long feature list is less useful than a well-described task and its current alternative.
We define functional acceptance separately from product validation. Working software can meet its specification while the market assumption still needs testing. Review should cover the complete user journey, expected failure behaviour, operating costs, and deployment responsibilities.
The handover scope records source code, accounts, setup instructions, known limitations, and ownership terms. Hosting and continued development are agreed explicitly so the first release has a clear next owner.
Discuss your product idea/ A FEW GOOD QUESTIONS
Before we build.
What does an AI MVP include?
The smallest complete user journey needed to test the product assumption. The exact scope may include an interface, application logic, data storage, access control, an AI capability, and a deployment environment. It should be defined around the intended use.
Can you start from a prototype?
Yes, after reviewing what it demonstrates and what remains unresolved. A prototype may be useful evidence while still needing changes for access control, data handling, reliability, or maintainability.
How long will a first version take?
That depends on the scope, existing assets, integrations, review requirements, and access to feedback. A delivery estimate should follow a defined first-release scope and identify its assumptions and dependencies.
/ NEXT, YOUR CHALLENGE
Let's make work
work better.
Bring the process, the bottleneck, or the idea.
We’ll work out a useful first step together.