GBCORP BLOG · AI
Company for AI App Development: Choosing a Builder That Ships
Is GBCORP a company for AI app development? Yes: it builds apps where a model does real work inside a business process, with a review step and a number that proves it. Here is what that involves and what to ask any builder.
An AI app is an ordinary business app with one or more model-driven steps inside it: an assistant that answers from the company’s own documents, a form that reads itself from a photo, a queue that classifies and drafts replies, a search that understands what the user meant. GBCORP builds these on the same engine as its other apps, with the model steps scoped, evaluated and priced like any other feature. The difference between a builder that ships and one that demos is in the method.
What an AI app looks like in practice
| Step | What it does | Where it pays |
|---|---|---|
| Assistant | Answers from the business’s own content, in the user’s language, cites the source | Support, sales, internal knowledge |
| Extraction | Reads invoices, forms, IDs, receipts into records | Finance, onboarding, logistics |
| Classification and routing | Sorts messages, tickets, orders; drafts the reply | Service desks, sales inboxes |
| Generation | Product descriptions, summaries, reports from data | Retail, reporting, marketing |
| Search | Finds by meaning, not only by keyword | Catalogues, archives, portals |
How GBCORP builds one
A scoping week that picks one process and collects fifty to two hundred real examples with their correct answers; this evaluation set is the most valuable thing the project produces. The model step is built into the app with a review screen, so a person confirms outputs at first. Accuracy is measured weekly against the set. Where errors are harmless, the review is removed; where they are not, it stays and the person still saves most of the time. Cost per request is tracked beside accuracy, and the model behind the step can be swapped when a better or cheaper one appears, because the app is built against an interface, not a vendor.
What it costs to build and run
The build is a fixed price per release after the scoping week, with the priced starting point on the GBCORP e-shop. Running costs are the cloud project, the model usage passed through at cost, and a support plan that covers evaluation runs, model updates and cost reporting. GBCORP shows the model usage on the same weekly report as accuracy, so the business sees the whole price.
Questions to ask any builder
- Show me the evaluation set and the weekly accuracy for a live AI app.
- Where does the review step sit, and when is it removed?
- What happens to our data; is it used to train anything?
- Can the model be swapped without rebuilding the app?
- What is the cost per request, and who sees it?
- Which AI apps do you run in production yourselves?
Where the data lives
In a cloud project in the client’s name. Prompts and documents are sent to the model provider only for the request and are not used for training under the terms GBCORP configures. Sensitive fields are masked before they leave. The app logs what was sent and what came back, so an audit is possible.
The numbers to expect
Scoping in one week. A first release with the review step in four to eight weeks. Accuracy measured weekly; the review removed on safe fields within the first quarter. Fixed price per release, model usage at cost, a support plan at a known monthly figure. Customised or more complex functionality is quoted separately before any work starts.
A worked example
A property management company receives tenant requests by message, e-mail and phone, and a coordinator sorts them by hand. The AI app adds an intake step to the tenant portal: the tenant describes the problem in their own words and language, attaches a photo, and the model classifies the request, assigns urgency, drafts the work order and suggests the contractor. The coordinator reviews and confirms. Two hundred past requests with their correct classifications form the evaluation set. After six weeks the accuracy on category and urgency is high enough that routine requests post without review; emergencies always reach a person first. Response time to tenants falls from a day to under an hour.
Why the review step is the product
A builder who promises an AI app with no human in the loop from day one has not measured one. The review screen is where accuracy becomes a number, where the evaluation set grows with real cases, and where the business keeps the decisions that matter. Removing it is a decision made from the weekly report, field by field, not an assumption made in a sales deck. GBCORP builds the review step first because it is the part that turns a demo into software a business can rely on.
Assistants that cite their sources
An assistant that answers from the business’s own documents should show which document it used. GBCORP builds retrieval so every answer carries its source, the user can open it, and the business can see which documents are answering which questions. Answers with no source are marked as such. This is what lets a support team trust the assistant with customers, and it is a feature to ask any builder to demonstrate on your own content.
Questions we hear first
Do we need our own model?
Almost never. A commercial model behind an interface, fed the business’s own content, covers most needs and can be swapped later.
Is the AI accurate enough?
The evaluation set answers that with a number per field, weekly. That is the only honest answer.
Can it work in more than one language?
Yes. The assistant answers in the user’s language and the interface is multilingual.
Can we add AI to our existing app?
Yes. A model step is added as a release inside the current app, with the same review and measurement.
Where to start
The GBCORP AI Development and Automation product is the priced starting point; the GBCORP app development company page answers the other common questions in the same plain form. For the technical view, read AI application development explained.
GBCORP operates across 17 countries on 4 continents through six pillars: AI & IT, Innovation, Sustainability, Infrastructure, Business Lounge, and EV's & Solutions.
