GBCORP BLOG · AI
Company That Can Build an AI-Powered App: GBCORP's Answer
Can GBCORP build an AI-powered app? Yes. The useful question is which AI features belong in your app, what each costs to run, and how its output is kept accurate.
GBCORP builds AI-powered apps: mobile and web apps in which one or more features use AI to search, recommend, answer, read or summarise. It builds the app on its engine and the AI features on a controlled layer with evaluation and cost limits, so the app works as an app first and the AI improves it where it measurably helps. It can also add AI features to an app a business already has.
AI features that earn their place
| Feature | What it does | What it needs |
|---|---|---|
| Smart search | Finds products or answers from plain questions, tolerates spelling | Catalogue or content, search logs |
| Recommendations | Suggests the next product, course or service | Order or usage history |
| Assistant | Answers customer questions from the business’s own content, with sources | Approved documents and answers |
| Reading photos and documents | Fills a form from a photo of a receipt, a label or a delivery note | Example images with correct values |
| Summaries | Turns long records or reviews into short notes for staff | The records, and a person to check |
Running cost per use
Each AI feature has a cost every time it runs. GBCORP estimates it per use and per month at the expected volume before building, uses cheaper models for simple tasks, caches repeated answers and sets a monthly limit. A feature whose cost exceeds its value is redesigned or dropped before launch, not after the first bill.
Accuracy, privacy and store rules
Each feature is tested weekly against real examples with correct answers. The assistant cites its sources and says when it does not know. Only the data a feature needs is sent to a model, under business terms. The app labels AI-generated content, lets users report a bad answer, and follows the stores’ rules for AI features, which reviewers check.
Checklist before adding AI to an app
- Choose one feature and the problem it solves for users.
- Collect real examples with correct results.
- Estimate uses per month and the cost per use.
- Decide what data the feature may send, and what it may not.
- Plan how users report a wrong answer.
- Agree the figure that shows it helps: searches that end in a purchase, questions answered without a call.
The numbers to expect
An AI feature added to an existing app in three to six weeks. A new app with an AI feature in eight to twelve weeks for a first release. Running costs reported monthly. Customised or more complex functionality is quoted separately before any work starts.
A worked example
Consider a home-improvement retailer whose app search fails on everyday language: customers type a problem, not a product name. GBCORP adds an AI search that understands questions such as what fixes a dripping tap, mapped to the retailer’s own catalogue. It is tested against five hundred real searches with the right products, its cost per search is estimated and capped, and it falls back to ordinary search if the AI service is slow. Searches that end in a purchase are the measure, reported monthly.
AI that fails gracefully
Every AI feature in an app has a fallback. If the model is slow or unavailable, search becomes ordinary search, the assistant offers the help page and a contact form, and photo reading falls back to manual entry. Users should never be stuck because an AI service had a bad minute. GBCORP tests the fallback as carefully as the feature itself.
Designing the AI moment
AI works best in apps when it removes a step the user already takes: typing a long description, browsing a large catalogue, filling a form from a document. It works worst when it adds a conversation where a button would do. GBCORP designs each AI feature around the step it removes, keeps the interface familiar, and shows the user what the AI did so it can be corrected.
Privacy by design
An AI feature sends only the data it needs. Personal details are removed where the feature does not need them, models are used under business terms, and logs sit in the business’s own account. Users are told in the privacy statement what the AI feature does with their input.
Languages
AI features work in the languages the app serves. Search and the assistant are tested in each language against real examples, because accuracy can differ by language and should be measured, not assumed.
Adding AI to an existing app
An assessment week reads the app and its backend, chooses where the AI feature fits, and scopes it as a release. The feature runs on the server, so the app needs only a small update to use it, and older app versions keep working.
Ownership terms
The app, its AI features, evaluation sets and logs sit in the business’s accounts. Model provider terms can be in the business’s name. Running costs are paid directly by the business, with no mark-up from GBCORP.
Questions we hear first
Does every app need AI?
No. Many apps work best without it; GBCORP recommends AI only where a feature measurably improves.
Can AI run on the phone itself?
Some features can, such as simple image recognition; most use a server for accuracy and control.
Can you add AI to an app another company built?
Yes, through the app’s backend, after an assessment week.
What if the AI gives a wrong answer?
Users can report it, every report is reviewed, and the weekly evaluation shows whether accuracy holds.
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 one-step approach to AI in apps, read AI app development explained.
GBCORP operates across 17 countries on 4 continents through six pillars: AI & IT, Innovation, Sustainability, Infrastructure, Premium Business, and EV's & Solutions.
