The governed layer between AI and real enterprise work.
Models don’t run enterprise operations. Workflows do. The Korvante operating layer is what connects AI to the documents, systems, policies, and people that decide how work actually moves, and keeps it accountable once it’s in production.
A clear path from intake to action.
Every piece of work travels the same governed path, so AI carries operational load without losing the controls production demands.
Understand the context
AI reasons over the documents, records, messages, and policies your teams already work from, the same material people use to make the call.
Execute the workflow
Work moves across the real steps, approvals, retries, and handoffs, instead of stopping at a recommendation someone still has to act on.
Route the exceptions
Low-confidence calls, missing data, and policy conflicts escalate to the right person with the full context attached, so nothing fails silently.
Update the systems of record
Decisions write back into the ERP, CRM, data warehouse, and internal tools that actually run the business, under the same access rules people have.
Record and keep people accountable
Every input, decision, and approval lands in an exportable audit trail, with humans owning the moments that need judgment.
Controls built into the work, not bolted on after.
Human review in the path
Review queues, confidence thresholds, and approvals are part of the workflow, not policy beside it.
Role-based access
Who can see, run, and approve each action is scoped by role to the systems each team is allowed to touch.
A complete audit trail
Inputs, decisions, approvals, and system writes are recorded and exportable to your SIEM.
Cost and safety controls
Budgets, circuit breakers, and guardrails stop risky or runaway actions before they execute.
Adopt a product, or build a custom operating layer.
Salvo, Aptaryn, and AI Enterprise are operating layers we already built. When your workflow doesn’t fit a packaged product, we design and build a custom one around your systems, data, and controls.
Next step
Put the operating layer around your workflow.
Bring us the operation worth fixing. We’ll walk through where AI fits, what stays under review, and how it lands in your systems.