Bringing AI Into Your Business, Step by Step

Not necessarily. The right data matters more than the volume of it. During an initial scoping call, we review what you currently have and assess whether it's sufficient for the AI model you have in mind. If it isn't, we'll be straightforward about that and discuss what data collection might look like.

This varies by service. Customer retention modelling typically takes four to six weeks from data scoping to dashboard delivery. Sandbox environments can often be provisioned within two to three weeks. Knowledge management projects range from six to twelve weeks depending on the volume and variety of existing content.

We design outputs for the people who will actually use them. Dashboards are built for customer success managers, not data scientists. Sandbox environments include usage documentation for non-technical staff. We stay involved during the adoption period to make sure your team feels comfortable with what we've built.

We treat your data with the same care you would expect from an internal team. Data sharing protocols, access controls, and handling procedures are agreed in writing before any data is transferred. Where possible, we work with anonymised or synthetic data during development phases.

That's completely fine — many clients come to us with a general challenge rather than a specific service in mind. We're happy to spend time understanding your situation before making any recommendations. Use the contact form below and describe what you're working through, and we'll respond with some initial thoughts.

The listed prices reflect our standard engagement scope. If your situation involves additional complexity — such as multiple data sources, unusually large datasets, or extended adoption support — we'll discuss that transparently during scoping and provide a clear revised estimate before any work begins.