AI model integrations
Do your application’s users summarise content, sort enquiries or draft replies manually? We add these features directly to your product using OpenAI, Claude by Anthropic or other models. We also help replace an existing model when its results, speed or costs no longer meet your needs.
Discuss AI integrationAn AI feature inside the application your users know
Users receive results in their existing workspace without moving data to a separate tool. You know the usage cost and test results for the feature. The work covers connecting the model to your application, validating responses and handling service interruptions.
What you receive
- A model comparison on your examples, covering quality, response time and cost
- A feature connected to the data and interface of your existing application
- Response validation, access controls and handling for errors or API limits
- Integration documentation, cost monitoring and tests for future changes
Where we can help
Summaries and draft replies
Users receive a conversation summary, case description or draft reply alongside the data they work with. They can check and edit the result before using it.
Content classification
The model identifies an enquiry’s topic or category and passes it to the application. This helps organise the work queue while items needing review go to the appropriate person.
Improving an existing AI feature
We compare your current model with alternatives on the same examples. You see the differences in quality, speed and cost before switching providers or routing tasks to different models.
TimeCamp: AI features in a time tracking application
We develop AI logic that suggests time entries based on computer activity. We connect it to the application and its review interface. Users can correct a suggestion before approving it for their report.
All projects
TimeCamp: suggested time entries reviewed by the user
View project: TimeCampWe appreciate that the Software Logic team brings its own ideas for improving our product. They respond quickly when our needs change and deliver what we agree on. We work with people who care about the quality of the application and take responsibility for their work.
Getting started and what to expect
You can commission the first stage on its own. We agree on the work and its cost before starting, and you decide what comes next based on the results. If you already have a specification or assessment, we use it to plan the work.
Define the feature and models to compare
You receive a description of the feature, its data flow and evaluation criteria. We identify models to test and define the trial scope and price. You know what users should be able to do and how we will evaluate the result.
A working feature to evaluate
You can try the feature on agreed examples from your application. Comparison results cover answer quality, response time and usage cost. The recommendation identifies a model and the limitations to address before deployment.
Launch and future changes
Users access the feature in your application while your team can monitor errors and costs. We hand over the integration, documentation and tests for evaluating future releases or a different model.
Frequently asked questions
We check API availability or deployment options, licensing and the features you need. OpenAI and Anthropic are examples of providers. We evaluate other models against the same requirements, since suitability depends on the task.
Discuss the feature your users need
Describe your application and the task you want to make easier. If an AI feature is already running, tell us what needs improving. We will define the scope of model comparison and integration.
After reading your message, we will follow up with questions and suggest a conversation about scope and pricing.
You can also email us directly: office@softwarelogic.co