AI development
AI that does one job, properly.
We start by telling you whether AI is the right tool at all, because often a well-written report solves the problem faster and costs nothing per use. When it is right, it runs on your own information at a price measured per request before you commit.
Overview
AI, the way we do it
Most AI work fails in the same place: the demo answers the question once, on a laptop, with a handpicked example. Nobody asks whether it still answers correctly next month, on the real data, when the person typing is in a hurry and phrases it badly. That gap is where budgets go.
So we scope the job narrowly and honestly. One task, grounded in your own documents and records, with the cost per request known before you commit and a limit on what the system is allowed to answer at all. This is the newest of the seven things BitBee does, and no case study on this site is an AI project yet.
What's included
What you actually get
- A clear answer first on whether AI is the right tool for the job
- Grounded in your own documents and records, not the open internet
- Sources cited, so an answer can be checked rather than trusted
- A limit on what it will answer, because "I do not know" beats a confident mistake
- Cost measured per request, with a projected monthly ceiling
How we work
Five steps, no surprises
- 01
We talk
A call or a WhatsApp thread. You tell us what is not working; we tell you honestly whether we are the right people.
- 02
We scope it
A written plan with what you get, what it costs and how long it takes. Fixed, so there are no surprises later.
- 03
We build it
You see it as it goes, not at the end. Changes are cheap while it is still being built.
- 04
We put it live
On infrastructure we set up and secure, tested before the launch date.
- 05
We keep it running
Updates, monitoring and someone who answers. Most clients stay on a monthly agreement.
Questions
About ai
Do we actually need AI for this?
Often not, and we will say so. A search box, a better report or a fixed set of rules solves many of the problems AI gets suggested for, at no cost per use. We would rather establish that at the start than bill you for finding out.
Where does our data go?
Wherever you agree and nowhere else. Models can run on infrastructure we manage for you, or through a provider under a contract that forbids training on your content. If it must stay inside Saudi Arabia, say so at the start.
Has BitBee shipped an AI project?
Not among the work on this site. The data and server work underneath it we have done for years; the AI layer is newer for us, and we would rather say that than imply a case study we do not have.
Also
Related work
- Quality AssuranceFind it before your customers do.
- UX DesignWork out what it should do before anyone builds it.
- UI DesignScreens people can use without being trained.
- Design SystemsOne set of rules, so the tenth screen looks like the first.
- Mobile ApplicationsApps people keep on the first screen.
- iOSiPhone apps built the way Apple expects.
- AndroidAndroid apps that work on the phones people actually own.
- FlutterFlutter, when one team has to cover both stores.
- Machine LearningModels that earn their place in the business.
- Data ScienceAnswers from the data you already have.
- LLMsLanguage models, kept on a short leash.
- Generative AIGeneration with a human still holding the pen.
- PythonPython, for the work that has to be read as well as run.
- Back-EndWhere an order becomes an order.
- DatabaseThe part of your system that is hardest to fix later.
- Node.jsNode.js, for the systems that have to answer quickly.
- GoGo, where it has to be fast and stay simple.
- .NET.NET, for the systems a business runs on.
- JavaJava, for systems measured in decades.
- Front-EndThe half of your product people actually see.
- Web DevelopmentCompany sites, customer portals, and web systems that hold up.
- ReactReact, built so the next team can still work on it.
- AngularAngular, for systems that have to last.
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