Enterprise AI Integration
Integrate LLM inference pipelines and multi-agent systems into existing products — from API design and prompt engineering through evaluation, monitoring, and responsible deployment.
Service Overview
You don't need a new product — you need AI integrated into the one you already have, without breaking what works. This is AI integration services for teams retrofitting LLM capability into existing infrastructure, not greenfield builds.
What's Included
- integration architecture
- API and prompt engineering
- evaluation framework
- monitoring setup
- and responsible-deployment review before go-live.
Tools & Technologies
Frequently Asked Questions
Do you work with our existing engineering team or replace them?
Alongside — this is typically a scoped integration engagement working with your existing team, coordinated with Knovik's engineering resources where a build team is needed.
What counts as "responsible deployment" here?
Evaluation gates, monitoring for drift/failure modes, and a rollback plan before the integration goes to production — not just shipping and hoping.
Can this start as a smaller pilot before a full integration?
Yes — an AI proof of concept scoped to one workflow is a common way to de-risk before the full integration.
Is this for you?
- You need an AI implementation consultant who understands your existing stack, not just AI in isolation
- You're past the prototype stage and need production-grade API design, evaluation, and monitoring
- You want an AI solutions architect who owns the integration end-to-end, not just the model call