You have a product idea, a defined business problem or a workflow that needs its own application. inAi can turn it into a complete software system, including the interfaces and infrastructure around the AI.
We work with product teams, established businesses and founders who need a delivery partner for the whole application or an explicitly defined part of it.
Start with the work the application must support
A useful brief describes the user, the input, the expected output and the point at which someone must review or act. For example: a service team receives a request, assembles relevant information, prepares an answer, reviews it and records the outcome.
That is a product workflow. A chat interface may be part of it, but the application may also need a work queue, structured forms, background processing, an editable result, version history and exports.
What inAi can deliver
The agreed scope can cover product definition and user journeys; interface design; frontend and backend development; account and role handling; data storage and integrations; AI model connections; background jobs; evaluation tools; deployment; monitoring; and documentation.
We also define how your team will operate the application. Who investigates a failed run? Who can approve an action? How is a model or prompt change tested? What does the user see when a provider is unavailable?
A practical delivery path
Define the first valuable workflow.
Test the uncertain part.
Build the application around that workflow.
Accept and release the agreed system.
What acceptance should cover
Acceptance is not “the demo looked good”. It can include completion of the intended user journey, correctness of structured outputs on the agreed test set, access controls, exception handling, performance under the defined workload and the ability to support the release.
AI behaviour is evaluated within stated boundaries. A project should define when the system asks for clarification, when a human reviews an output and when it stops rather than guessing.
What we need from you
Bring the intended users, the problem, any existing designs or requirements, and examples of the information the system will handle. Identify the person who can make product decisions and the team responsible for data or existing integrations.
A production launch may also require access to your infrastructure and a review of data processing, ownership and support arrangements. Those are project decisions, not assumptions hidden inside the build.
Questions buyers usually ask
Can you build the frontend and backend? Yes, those can be included alongside the AI layer. The proposal names the deliverables and ownership boundary.
Can you work with our developers? Yes. We can own a bounded component or collaborate on a wider delivery, with integration and review responsibilities defined in advance.
Can we begin with an MVP? Yes. The first version should be small enough to test the intended value, while clearly identifying what remains necessary before broader production use.
Who owns the code? The contract defines project-specific deliverables, pre-existing components, third-party licences and handover. Resolve those points before development.