Search across your documents
Give staff a way to ask questions of internal documents and find the source material behind an answer. We plan document ingestion, retrieval, access permissions, and the handling of incomplete information together.
AI Application Development Services
Build AI into a task your team actually needs to complete. We develop custom AI applications for searching business documents, assisting staff, and handling repeatable work, with your existing data and systems in mind.
Discuss your projectAI features built around a defined business task.
Assist a repeatable workflow
Extract information, draft a response, classify a request, or prepare a record for review. The application can hand uncertain results to a person instead of silently making a decision.
Connect AI to your application
Add an assistant or an AI feature to an existing product through its interface and APIs. The scope includes application behavior, model usage, error handling, and the information a user can access.
Process
Define the task
Identify the user, the inputs, the expected output, and the cases in which an AI result should be rejected or reviewed. We also check whether conventional software would solve the task more reliably.
Test with representative data
Build a small evaluation using realistic examples, including difficult cases. Compare answer quality, response time, and expected usage costs before committing to a wider implementation.
Build the application
Develop the interface, data connections, access controls, and review steps. An AI feature should fit the workflow around it, including what happens when a model or external service is unavailable.
Release and evaluate
Test the agreed scenarios, prepare the deployment and handover, and define what to monitor after launch. Future changes can be checked against the original evaluation examples.
Common questions
Can an AI application use our existing documents?
Yes, when the documents can be accessed in a suitable format and you have permission to use them. Discovery covers document quality, update frequency, user permissions, sensitive information, and whether answers need to cite their sources.
Will the AI always give the right answer?
No model can guarantee that. The application needs appropriate evaluation, limits, and review steps. For tasks with important consequences, we agree where a person must check an output before it is used.
Do we need to train our own model?
Often an existing model, connected to the right data and tools, is enough. The choice depends on your task, accuracy requirements, data policies, budget, and expected usage. We assess these before recommending an approach.
What determines the cost of an AI application?
The scope includes the interface, data preparation, integrations, evaluation, and deployment. Running costs depend on model usage and infrastructure. We separate development work from expected ongoing costs so both can be considered before the build.
Related services
What’s slowing
your business down?
A spreadsheet that’s outgrown its job. Systems that won’t talk. An idea you’re ready to test. Tell us what needs to work better.
Talk through the project