Case Orchestration
Creates bounded cases, gathers context, requests approval, executes narrow actions, and follows outcomes to resolution.
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Controlled pilot access
Noemergis agents operate inside existing products. They detect an event, assemble approved context, propose a narrow action, wait for accountable approval, execute within policy, and monitor the result.
One reusable foundation
Products supply specialized intelligence. The shared stack supplies cases, evidence, permissions, reliability, and efficient routing.
Creates bounded cases, gathers context, requests approval, executes narrow actions, and follows outcomes to resolution.
Attaches sources and records which data, rule, prompt, model, calculation, and human decision produced an outcome.
Finds stale feeds, schema changes, duplicates, and synchronization failures—and identifies which decisions are affected.
Determines what the workflow may read, recommend, or execute based on purpose, sensitivity, confidence, and value.
Routes work among rules, engines, models, and people using risk, evaluation history, latency, sensitivity, and budget.
Interactive workbench
Move low-confidence and contradictory document fields from extraction to accountable resolution.
Invoice quantity differs from purchase order by 12 units
87% extraction confidenceInvoice quantity differs from purchase order by 12 units
Workflow catalogue
Move low-confidence and contradictory document fields from extraction to accountable resolution.
Keep catalog attributes, variants, compatibility, availability, and recommendation rules fit for use.
Turn recommendation evidence into reviewable merchandising improvements.
Continuously protect citation quality, freshness, permissions, and answer coverage.
Decide whether an AI workflow is ready to advance using explicit acceptance evidence.
Convert material planning exceptions into bounded purchase recommendations.
Connect pricing signals, margin policy, approvals, experiments, and rollback.
Turn business questions into governed experiments and durable decisions.
Resolve incomplete or inconsistent sourcing evidence before selection.
Build a cited evidence package while keeping facts, inferences, and gaps distinct.
Give technicians a source-grounded checklist and complete service record.
Turn documented delivery changes into owned risks and escalation packages.
Deliberate boundaries