AI feature sprint

For SaaS teams. One defined AI feature, built inside the SaaS product you already run: document search, an in-app assistant or a workflow agent.

Your roadmap has an AI feature on it, your customers are asking for it, and your engineers are already booked with the core product. We build that one feature inside the application you already run, with your team, and hand it over working.

What we build

One clearly defined feature, chosen with you before we start. The usual ones:

• Search that answers from documents. Your customers ask a question and get an answer drawn from their own files, with the source shown.
• Reading uploaded files. Invoices, contracts, forms and PDFs turned into structured data your app can use.
• An in-app assistant. A helper that knows your product and your customer's account, for your users or your support team.
• A workflow agent. A step-by-step job your users run by hand today, done by software, with a person approving anything that matters.

How it runs

1. A free call. We talk through the feature, who uses it and what good looks like.
2. A written scope. One page: what the feature does, what it does not do, how we will test it and what "done" means.
3. Build in your codebase. We work in your repository, follow your conventions and review with your engineers.
4. Test on real data. Before any user sees it, we run it against your real documents and cases and show you where it is right and where it is not.
5. Ship and hand over. It goes live behind your normal release process, with notes your team can maintain.

What we need from you

• Access to the repository and a development environment
• Sample data that looks like what your users really have
• One product person who can make decisions quickly
• An engineer on your side for code review

What you do not get

A demo that only works on a slide. A feature that sends your customers' data somewhere you did not agree to. A black box your team cannot change after we leave.

Common questions

Which AI model do you use? The one that fits the job, your data rules and your budget. We can work with the provider you already use.

Who owns the code? The work is built in your repository, and the terms are agreed before we start.

What if the AI gets something wrong? We design for it: answers show their sources, low-confidence results go to a person, and we test on your real cases before launch so you know how it behaves.

What you get

• One feature, with the scope written down before we start
• Built inside your codebase, alongside your team
• Tested on your real data before it reaches users
• Handed over with notes your engineers can follow

we build

one AI feature

inside

your existing app

you get

it shipped, not a demo

Canonical URL: https://ugibo.com/services/ai-feature-sprint