What do AI app developers do?
AI app developers design and build software applications that use artificial intelligence to solve practical business problems. That might include AI-powered search, document analysis, data extraction, chat interfaces, workflow automation, recommendation tools, reporting assistants, or AI agents that help users complete tasks inside an app.
Can you build a custom AI app for our business?
Yes. Scorchsoft builds custom AI-powered web apps, mobile apps, portals and internal software tools for businesses. We can help you define the right AI use case, design the user experience, build the app, integrate it with your existing systems, and support it after launch.
What types of AI features can you add to an app?
Common AI app features include smart search, natural language chat, automated document classification, text summarisation, structured data extraction, image or file analysis, report generation, workflow recommendations, customer support tools, AI agents, and automation features that reduce repetitive admin work.
Do I need a fully defined AI app idea before speaking to you?
No. You do not need a fully defined specification before speaking to us. Many clients come to us with a business problem, a rough app idea, or a process they want to improve. We can help shape the concept, identify where AI genuinely adds value, and turn the idea into a practical development plan.
How do you decide whether AI is actually useful for an app?
We look at the user need, business process, available data, expected return, technical feasibility, security requirements and operational risks. AI should make the app more useful, faster, smarter or more efficient. If a simpler non-AI feature would solve the problem better, we will say so rather than forcing AI into the product for the sake of it.
Can you integrate an AI app with our existing systems?
Yes. We regularly build apps that connect with CRMs, ERPs, finance tools, databases, websites, APIs, legacy systems and third-party platforms. For AI app projects, integrations are often especially important because the AI features need access to the right business data, documents, workflows or user permissions to produce useful outputs.
Can you build AI apps for internal business workflows?
Yes. Internal AI apps are often a strong use case because they can reduce admin, improve reporting, speed up knowledge retrieval, support decision-making and make existing business processes easier to manage. Examples include staff portals, operations dashboards, document processing tools, knowledge assistants and workflow automation platforms.
Can you build customer-facing AI apps?
Yes. We can build customer-facing AI apps such as self-service portals, guided support tools, AI chat interfaces, recommendation systems, onboarding tools, account dashboards and apps that help customers access information or complete tasks more easily. We design these carefully so the AI feature supports the user journey rather than becoming a gimmick.
How much does it cost to build an AI app?
The cost of building an AI app depends on the scope, number of user types, complexity of the workflows, data requirements, integrations, design needs, security considerations and the type of AI features involved. A focused MVP will usually cost less than a large multi-role platform with complex integrations and advanced AI functionality. If you share your goals and must-have features, we can give you an initial estimate.
How long does AI app development take?
Timelines depend on the complexity of the project. A focused prototype or MVP can often be planned and built much faster than a full-scale platform, especially when the first version concentrates on a small number of high-value workflows. We usually recommend starting with the most valuable AI use case, launching something useful, then improving it based on real feedback.
Can you build an AI app prototype before a full build?
Yes. A prototype is often a sensible first step for an AI app because it helps validate the user journey, feature concept, technical approach and business value before committing to a larger build. Depending on the project, this might be a clickable prototype, a technical proof of concept, or a small working MVP with one or two core AI features.
Will our AI app be secure?
Security needs to be designed into the app from the start. We can implement secure authentication, role-based permissions, data separation, audit trails, API controls and sensible data handling practices. For AI features, we also consider what data is being sent to AI services, how outputs are used, and where human review or safeguards may be needed.
Do you use ChatGPT or other AI models in apps?
Yes, where appropriate. We can integrate apps with AI models and services such as large language models, natural language processing tools, document intelligence services, image analysis tools or custom AI workflows. The right choice depends on your use case, budget, data sensitivity, performance needs and long-term support requirements.
Can you take over or rescue an existing AI app project?
Yes. If your AI app project is stuck, poorly scoped, technically unstable or not delivering the expected value, we can review the codebase, architecture, AI approach, user experience and delivery process. From there, we can recommend a practical recovery plan and help stabilise or rebuild the project where needed.
Why choose Scorchsoft as your AI app developers?
Scorchsoft combines AI app development capability with over fifteen years of broader software delivery experience. That means we do not just think about the AI feature in isolation; we also consider the user experience, business process, data structure, integrations, security, scalability and long-term maintainability of the whole app.
How do we start an AI app development project?
The best first step is to tell us what you want the app to achieve, who will use it, what systems it may need to connect with, and where you think AI could help. We can then discuss the opportunity, suggest a sensible first version, identify risks, and provide a clear route towards planning, prototyping or development.
