Service
AI and LLM integration for SaaS and web products
Add one justified AI capability to an existing product through controlled APIs, permissions, evaluation, and monitoring.
An AI capability should strengthen the product, not make it harder to operate.
We start with the existing user journey and systems of record. AI receives only the context and permissions required for the task, while critical actions remain under product and human control.
Capabilities we integrate
- search, summarisation, and knowledge workflows;
- copilot features for teams or customers;
- classification, extraction, and data checks;
- controlled actions through the existing product API;
- evaluation, logging, fallback, and cost controls.
A controlled delivery path
01Current-flow audit
02Capability prototype
03Integration and monitoring
When integration is the right scope
When a SaaS or web application already works and one AI capability has a defined workflow and owner. A new AI-native product requires a broader product-development scope.
Next step
Define the practical next step.
Share the context. We will clarify the scope, constraints, and evidence needed before delivery.