AI Assistant
Private AI for operations teams
Turn scattered operational questions into one secure assistant. NovaSets helps you build a private AI layer grounded in your workflows, systems, and internal language.
Framework
Build operational AI in four phases
From the first workflow map to a grounded assistant in production, each phase reduces risk and creates usable results.
Use cases
The assistant answers the questions your teams ask every day
Use one assistant across production, logistics, maintenance, and support teams so operational knowledge becomes available in the moment of work.
Find the right procedure instantly
Surface the correct instruction, checklist, or process rule without browsing through folders or asking around.
Get consistent guidance when shifts change
Keep answers stable across teams, locations, and experience levels so work continues with less variation.
Answer maintenance knowledge faster
Help technicians find recurring fixes, equipment notes, and prior solutions without long search time.
Help new hires learn without waiting
Give newer colleagues a safe first layer for operational questions while reducing interruptions for senior staff.
Ready to build operational AI?
Book a short discovery session. We will translate your operational reality into a grounded AI starting point.
What teams say
Early results come from making the right knowledge available in the flow of work.
Instead of interrupting the same experts over and over, our teams now have one place to start. It reduced search time and made process answers more consistent.
The value was not just faster answers. It also showed us where knowledge was fragmented across tools, teams, and undocumented routines.
Packages
Choose your path
Start with a focused pilot or build a broader operational AI foundation.
Questions
Straightforward answers about scope, systems, implementation, and effort.
Does this use our own data?
Yes. The assistant is built around your internal documents, process rules, workflows, and selected systems. The goal is not generic AI output, but grounded answers based on your operational context.
We already use systems, so why would we need this?
Most companies already have the data, but not one place where people can ask practical operational questions across those sources. The assistant sits above scattered systems and makes knowledge easier to use in daily work.
Can we connect the assistant to our current tools?
Yes. We can work with documents first, then connect selected systems where needed. The rollout can be phased so value starts early without waiting for a full integration programme.
How long does a first version take?
A first focused version can usually be scoped quickly once the workflow, answer scope, and knowledge sources are clear. We recommend starting narrow and improving from live use.
Do I need engineers on my side?
Not necessarily. Many first versions begin with process owners, subject matter experts, and existing documentation. Technical involvement can be added later when broader integrations are needed.