AI Agents
Strip away the demos and AI agents do three things well inside a company: they answer, they handle, and they carry. Everything else is a variation of those three.
The service
Deployed against your own data, AI agents can answer internal and customer questions, handle voice and chat conversations, and carry defined workflows from start to finish. LEV Systems builds agents on data you control, scoped to jobs where their output can be verified.
What we deploy
Internal copilots that answer from company data. Voice and chat agents for defined conversations. Workflow agents that carry a process from trigger to finish, with human handoff where the process demands it.
On your data
Agents are grounded in your data platform, behind your access control, with every answer traceable to its source. What the agent knows is what you decided it should know.
Where agents fit, and where they do not
Agents earn their place on defined, repeatable jobs where the output can be checked. We scope agents to those jobs, and we say no when a job cannot be verified. That honesty is cheaper than a failed rollout.
Questions buyers ask
How do you control hallucinations?
Agents answer from your data, cite their sources, and log every interaction. Jobs are scoped so answers can be verified, and conversations hand off to people when confidence drops.
Which AI models do you use?
Chosen per engagement based on the job, the data sensitivity and the hosting requirements. The choice and its reasoning are documented.
Will agents replace our staff?
They carry defined jobs, which changes what your people spend time on. What that means for staffing is your decision, not a promise we make.
Is our data used to train AI models?
Never to train anyone else's. Your data is not used to train third-party or provider models. If your engagement includes training or tuning a model on your own data, that model is built for you and belongs to you.
Can agents handle voice?
Yes. Voice and chat are both supported conversation surfaces, built on the same grounded data.
How do we start?
With one scoped job, not a company-wide rollout. Prove the agent on a job where the value is measurable, then expand.
What does an AI agent cost?
Scoped per engagement, based on the job, the data work and the operations. Written scope first.
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