Agents that an auditor can defend. From single-task copilots to multi-agent fleets that run a process — with the evals, identity, and human review baked in.
We don't ship a copilot — we ship a redesigned process with a copilot inside it. The diff is whether the gain compounds or evaporates.
Tooling, memory, and policy layers that let agents specialize, hand off, and stay inside guardrails.
Online and offline evals, golden sets, regression catches, and the dashboards a regulator will actually accept.
Where humans review, where they don't, and how the review queue itself stays sustainable as volumes grow.
Replaced a multi-week onboarding journey with an agentic flow that runs in minutes — and captures more upsell on the way through.
An agent fleet that turns the prior-auth queue from days into hours — with every decision logged and reviewable.
Whichever fits. Novalere is independent — we'll tell you which model fits your problem, not which one paid us most.
We treat them as a system problem, not a model problem. Retrieval, evals, and human review are designed in from the start.