Solution guide · AI on AWS + NVIDIA
Custom Mobile Apps with an AI Assistant, Connected to Your CRM or ERP
When off-the-shelf apps don't fit, a custom app can. This guide shows how we build iOS and Android apps for your team or your customers, linked to your business systems and powered by AI.
- iOS
- Android
- React Native or Flutter
- AWS
- NVIDIA NIM
- Zoho · Odoo · Business Central
This is a solution guide: it shows how we design and build this kind of system. It is not a client case study.
When a custom app makes sense
Standard CRM and ERP apps are built for office users. Field teams, drivers, technicians and customers often need something simpler and faster, built around one job.
- Sales reps or drivers need a few screens, not a full ERP.
- Work happens in places with weak or no signal.
- Customers want to order, book or track service in your own branded app.
- Teams need to take photos, scan barcodes and capture signatures.
- You want an assistant that answers questions from your own data.
What we build
We design the app around the job to be done, then connect it to the systems you already run.
Simple screens for one job
We design around real tasks, such as taking an order, closing a job or checking stock, and test them with your team.
Works offline
Data is stored on the phone and syncs when signal returns, so work doesn't stop.
Connected to your systems
Orders, customers, stock and jobs sync with Zoho, Odoo, Business Central or your own database through secure APIs.
AI assistant in the app
Users can ask, 'What did this customer order last month?' and get answers from your own data.
Camera, scanner and maps
Photo capture, barcode scanning, signatures, GPS check-ins and route maps.
Secure by design
Sign-in with roles, encrypted data and audit logs, with the backend in your own AWS account.
How we build it
- DiscoverWe see how the work is done today and list the few tasks the app must get right.
- PrototypeYou click through a working prototype early, before the full build.
- BuildWe build the app and the AWS backend in short sprints, with a test build every two weeks.
- ConnectWe link the app to your CRM or ERP and add the AI assistant.
- TestYour team uses it in the field, and we fix issues before launch.
- LaunchWe publish to the App Store and Google Play, or privately for your team.
The system at a glance
| Layer | Tool | What it does |
|---|---|---|
| App | React Native or Flutter | One codebase for iOS and Android |
| Sign-in | Amazon Cognito | Users, roles, single sign-on |
| Backend | Amazon API Gateway and AWS Lambda | APIs, business logic, sync |
| Data | Amazon DynamoDB or Amazon RDS | App data and offline sync |
| AI | NVIDIA NIM on AWS, or a managed model service | In-app assistant and summaries |
| Systems | Zoho, Odoo or Business Central APIs | Orders, customers, stock, jobs |
Typical rollout plan
- 1–2 weeksDiscoveryWe define users, tasks, data and the first version's scope.
- 2–3 weeksPrototypeA clickable prototype your team can test and comment on.
- 6–10 weeksBuildApp, backend, integrations and AI assistant, in two-week sprints.
- 1–2 weeksLaunchField testing, store publishing and training.
What to prepare
- The main tasks the app must handle
- Who will use it, and on which phones
- Access to your CRM or ERP
- Brand assets, for a customer app
- App Store and Google Play developer accounts, or we help you open them
Common questions
Native or cross-platform?
For most business apps, React Native or Flutter gives you iOS and Android from one codebase at a lower cost. We go fully native only when the app needs it, such as heavy camera or device features.
Can we start small?
Yes. We usually start with a first version that covers one or two key tasks, then add features based on real use.
Is customer data safe with the AI assistant?
The assistant only reads data the user is allowed to see. With NVIDIA NIM on AWS, the model can run inside your own cloud account.
Who maintains the app after launch?
We can support it monthly, covering phone OS updates, fixes and new features.
Need an app your team will actually use?
Tell us the one task that wastes the most time in the field. We'll sketch the app around it.
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