Your technology partner From idea to launch and beyond

Describe the problem, your current tools and the change you want to make. We’ll identify what needs investigating and whether an existing tool will work or you need custom software. We compare how well each option fits your processes, along with setup, licensing, integration, data migration and ongoing maintenance costs. If analysis or a specification is needed, we’ll agree its scope before work begins. You can also bring existing requirements for an estimate.

We start with scope, integrations and the state of the existing system. If analysis or an audit is needed, we agree its scope and cost separately. For each stage, we define the deliverables, price, planned delivery date and acceptance criteria. For ongoing work, we can agree a monthly development and maintenance budget. Scope changes are priced and agreed before the additional work starts.

Yes, including software built by another supplier. We start by understanding the users and what already works. We agree on a review of code, data, permissions, integrations and deployment, then recommend what to keep and what needs fixing. We plan the first changes, documentation updates and the handover of knowledge and responsibilities. For a prototype, we also identify what is needed before people can use it in their daily work.

How we develop applications built with AI

Together, we set goals, priorities and acceptance criteria. We are responsible for delivering the agreed scope. With your IT team, we agree how to divide the work, make technical decisions and deploy changes. We agree who can access data and where it can be processed, then test permissions. We separately agree which materials can be shared with AI tools. We rely on your business team’s process knowledge and users’ participation in evaluating the solution.

Yes. We use AI tools, including Codex from OpenAI, to support code analysis, feature development and test preparation. We adapt how we use these tools to the project and the agreed rules for handling data. Our team is responsible for technical decisions, verifying how the software works and preparing deployment.

We start with a specific task and the data the solution will use. We assess output quality, costs, response time and error handling. We compare the results with the current workflow and simpler automation. The test results guide the decision to implement AI and show where human oversight is needed.

New features, updates, monitoring and handling support requests. Before starting, we agree on the services, support hours and response times. If you need an SLA, we agree on its terms and cost. We can also hand over the code, documentation and project knowledge to another team.