Shipping AI features

How to ship AI features into your product

Shipping AI features means getting working software - a tool that scores things automatically, software that sorts things automatically, search across your own data, or software that does multi-step jobs on its own - running live in your product, not just a prototype. The fastest, lowest-risk path is a fixed-scope project that ends with one feature running live, then improving from there.

Scope one outcome that can go live

Most AI work stalls because the scope is open-ended. The fix is to agree a single outcome that can go live in two weeks - one feature, one clear measure of success - and build only that. A narrow, achievable scope beats a broad plan that never reaches your customers.

Build with simple rules first, then add the model

Put a simple rule in front of the model wherever one will do. It makes the feature faster, cheaper to run, and easy to explain when a decision needs checking. The model handles the cases the rules cannot, not the whole load.

Launch, measure, improve

Get the feature running live behind whatever safeguard you need, measure it against the success measure you agreed, and improve it. A Ship Sprint with Cognitiv (USD $4,000, two weeks) is built to end exactly here - running live and measured.

Common questions

How long does it take to ship an AI feature?+

With a tight scope, a single feature can be running live in about two weeks. Cognitiv's Ship Sprint is a two-week, fixed-scope project that ends with one outcome live in your product.

What is the most common reason AI features do not ship?+

Scope. Open-ended AI projects rarely make it live. Agreeing one outcome that can go live in two weeks is the most reliable way to actually get there.

Can you ship AI features into an existing product?+

Yes. Cognitiv works inside your existing systems and codebase, builds the feature, and hands over a short written guide so your team can run and extend it.

Have something you need built?

Start with a Ship Sprint - a two-week paid project that ends with something working, not a document.