Custom AI agents
Build task-focused agents that use defined tools and business rules, with clear boundaries around what they can do.
Novriq Labs builds custom AI agents, LLM integrations, retrieval systems, and connected workflows that fit the way your business operates.
Example architecture. Model choice, data access, and automation boundaries are scoped to the project.
Build task-focused agents that use defined tools and business rules, with clear boundaries around what they can do.
Connect language models to approved knowledge sources using retrieval, access controls, and source-aware responses.
Use APIs and webhooks to connect applications, route work, and handle approvals and exceptions.
Build typed interfaces between your systems with authentication, validation, retries, and useful failure reporting.
Assess self-hosted models and private retrieval architectures against your security, hardware, licensing, and maintenance needs.
Choose a scenario to see how a trigger, model step, and connected action can fit together. The preview is illustrative; it does not call a live model or modify a CRM.
Form submission or webhook event
Extract fields and classify against agreed criteria
Prepare a record update and notify the team for review
Production workflows are scoped around permissions, audit needs, confidence handling, vendor terms, and human approval where appropriate.
We can help assess where automation fits, what should stay under human review, and how the pieces connect to your existing software.