Custom AI Solutions
Create a bespoke application when an off-the-shelf tool or a single workflow is not enough. We combine an interface, application logic and appropriate AI capabilities into a product with a defined user journey and acceptance criteria.
Service scope
Use this service when the outcome needs more than a chatbot or a single automated process. We design and build the application around its users, records and decisions, with AI capabilities included where they serve a defined purpose.
Identify who will use the application, what they need to accomplish and which decisions require review. Map the user journeys, data and existing systems before agreeing the first release.
Compare build and buy options and decide which features are essential to the initial application.
Build the interface, application logic, data model and AI components together. Define how users inspect AI-generated work, correct it and continue when a result is incomplete.
Connect the agreed business systems and apply the access roles needed for the application’s users and records.
Test the end-to-end user journeys, permissions and AI behaviour against agreed examples. Cover normal use, incorrect results and unavailable dependencies.
Agree hosting, deployment, handover and the responsibility for future product changes and ongoing operation.
Illustrative project examples. The work included is agreed for your project.
A team uploads agreed document types, reviews AI-extracted information beside the source and records corrections and decisions. The application manages the review journey and its records.
Users bring together selected business information, inspect AI-prepared summaries and retain their reviewed findings. The interface, data access and review steps form one application.
What you receive
The written proposal defines the deliverables and acceptance checks for your engagement. A typical implementation includes the following.
Prioritised user journeys, first-release features, data requirements, integrations and AI acceptance criteria.
The agreed interface, application services, data model and AI components, with source code and configuration handover defined in the proposal.
End-to-end tests and reviewed AI examples showing how the agreed application handles access, uncertain results and failed dependencies.
Deployment configuration, operating instructions and a walkthrough for your team, with hosting, usage fees and ongoing support separately scoped.
Bring the business problem, intended users and examples of how the work happens today. If feasibility needs investigation first, a bounded workflow assessment can help define the next step.
An agent is a component that can use tools to perform a task. A custom solution is the wider application, including its interface, records, access and operating model.
No. We examine the task, data, constraints and available options before selecting an approach.
Where the requirements and available services support it. Cloud architecture is part of the delivery plan, including permissions, connectivity and operational ownership.
Related services: Custom AI Agents Custom Software Development
Read how we work and about the team. Cloud architecture is a supporting delivery capability.
Tell us about the work, the people involved and the outcome you need. We will agree an appropriate next step.
Discuss your project