Capability 05
AI Integration for Existing Products
AI integration adds a focused capability to your current product, such as search, extraction, recommendations, or an assistant. We work with your existing architecture, prove value behind a controlled release, and measure quality before expanding access.
Discuss this capabilityBest fit
For established SaaS teams adding a focused AI capability without destabilizing the product around it.
We start by defining the boundary of the system and the evidence required to trust it.
Typical delivery
- 01Architecture and vendor decision
- 02Evaluation dataset
- 03Integrated product feature
- 04Quality, latency, and cost telemetry
Designed outcome
What this capability can change.
The product is shaped around a real operating result, not a catalogue of AI features.
- Semantic search
- Document extraction
- In-product assistants
- Classification and recommendations
Before the build
Questions worth resolving early.
Do we need to rewrite our app?+
Usually not. We design a narrow interface between your product and the new capability.
How do you test quality?+
We build an evaluation set from real examples and track accuracy, latency, and cost.
Can we switch models later?+
We avoid unnecessary lock-in and can design a model layer when portability is important.
Engagement signal
Know what this service is built for.
- Best fit
- An existing SaaS
- First step
- Technical discovery
- Human review
- Configurable