# Intelligent Software Development Services

> Software development for business applications that need reliable workflows and well-integrated AI. Design the product experience, backend systems and AI boundaries as one delivery effort.

[Read the full service page](https://www.g-atai.com/intelligent-software-solutions)

## When this service fits

Choose this service for an internal platform, business dashboard or customer-facing application where custom software is needed alongside AI. It also suits an existing product that needs a focused new capability.

## What we scope and deliver

- Product and technical scope covering user journeys, architecture and integration points.
- Selected web or mobile interfaces, backend APIs and data workflows.
- Testing, deployment documentation and a handover plan for the agreed application scope.

## How success is evaluated

Assess user task completion, accessibility, application performance and reliability together with any AI quality measures. Define acceptance criteria for the software and the AI feature separately so both can be evaluated.

## What to bring to the first call

- Target users, priority journeys and current product limitations.
- Existing code, system dependencies and preferred deployment environment.
- The initial release scope, delivery constraints and support expectations.

## From discovery to delivery

### Define the business problem

Map users, the current workflow, data access and constraints. Agree on the baseline, acceptance criteria and scope before choosing a model or committing to a build.

### Test a focused pilot

Evaluate a representative task with your data and users. Check quality, error handling, latency and running costs before expanding access or automating critical decisions.

### Integrate and hand over

Plan permissions, deployment, monitoring and human review with your team. Agree on documentation, training and ongoing support in the project scope.

## Before you start

### How much does an AI project cost?

Pricing depends on the workflow, data readiness, integrations, security requirements and support scope. A strategy call helps define these inputs; a proposal should separate implementation work from model, cloud and third-party running costs.

### Can we start with our existing software?

Yes. The first step is to assess available APIs, permissions and data access. A limited integration or pilot may be more suitable than replacing a working system. Feasibility and delivery dates are agreed after discovery.

### Will AI operate without human review?

That depends on the risk and task. Define approval points, permissions, fallback behavior and audit logs before deployment. Sensitive actions should stay within the controls agreed with your team.

## Explore related project work

These project pages show capabilities and product concepts. They do not establish independently verified customer outcomes or promise a return on investment. GARC includes a floor-plan beta; LogiTwin is a logistics concept.

- [AESORYX / MediVerse](https://www.g-atai.com/mediverse)
- [NouriPav](https://www.g-atai.com/nouripav)

## Plan your implementation

Share your workflow, current systems and target outcome. Choose a time for a strategy call to discuss feasibility, scope and the next step.

- [Talk to our team](https://www.g-atai.com/booking/build-ai)

## Technical services

- [Custom AI, Web & Mobile App Development](https://www.g-atai.com/design-and-development)
- [AI Integration, APIs & MLOps Deployment](https://www.g-atai.com/integration)
- [AI Consulting Services](https://www.g-atai.com/ai-consulting)
- [AI Agent Development Services](https://www.g-atai.com/ai-agent-development)
- [AI Business Automation Services](https://www.g-atai.com/business-automation)
- [Custom AI Development Services](https://www.g-atai.com/custom-ai-development)
- [Enterprise AI Integration Services](https://www.g-atai.com/enterprise-ai-integration)