TRY ICARUS
Experience Nuroen’s intelligent agent framework — describe intent in plain language, preview governed workflows, and explore templates without signing up.
Build governed agents from natural language — in minutes, not months.
Preview content only — placeholders until media ships. Sign up to run agents on your systems.
Guided walkthrough
ICARUS interprets intent, selects skills, wires connectors, and inserts governance gates — before anything executes. Preview slot below; interactive lab ships with the product trial.
Guidance video coming soon
A walkthrough of how ICARUS works will appear here.
try-icarus-guidance-videoTemplate gallery
5 featured templates from a library of 100+ certified agents — each ships with governance metadata and connector stubs.
Triage, enrich, and route P1–P3 incidents
ServiceNow + PagerDuty + CMDB with approval gates on remediation actions.
Extract, validate, and queue exceptions
Grounded document parsing with residency-aware routing and human sign-off on edge cases.
Correlate alarms and propose fixes
Ingests SNMP/trap feeds, deduplicates storms, suggests remediations with blast-radius caps.
Continuous third-party monitoring
Pulls vendor attestations, scores risk, opens GRC tickets when controls drift.
Provision accounts across HR stack
Workday trigger → IdP + SaaS provisioning with SCIM-aware rollback on failure.
Use case scenarios
Three common enterprise patterns — each enforces governance before spend, not after.
Level-1 teams drown in duplicate tickets while critical incidents wait in queue — manual correlation across CMDB, changes, and runbooks burns hours.
ICARUS ingests the incident, enriches with CMDB context, classifies with a task-local model, matches runbooks, and pauses at L2 approval before any remediation action.
Faster mean-time-to-triage with every step hash-chained for post-incident review.
−62%
Mean time to triage
−41%
Duplicate tickets
100%
Audit completeness
ServiceNow P1 webhook fires agent
CMDB + change records attached
ICARUS classifies + suggests runbook
Approval gate before remediation
Notify on-call + log provenance
Legal and GRC teams manually review hundreds of vendor artifacts — gaps surface late, exceptions live in spreadsheets.
Scheduled agent scans contract repositories, extracts obligations, maps to your control matrix, and opens tracked exceptions — sensitive parsing stays on-prem when policy requires.
Weekly compliance coverage without adding headcount; auditors get exportable provenance.
+85%
Artifact coverage
−70%
Review cycle time
100%
Tracked exceptions
Weekly cron + scope classifier
Clause skill with strict schema output
Compare vs SOC 2 / ISO controls
Legal review tasks with citations
Tamper-evident audit PDF
Generic chatbots hallucinate policy answers — IT reputational risk and repeat tickets climb.
Strict RAG declines off-topic queries at zero tokens; answers must cite approved articles; low-confidence paths escalate to human with full context.
Deflection without fabrication — every response logged to provenance.
+38%
Ticket deflection
0
Ungrounded answers
+22 pts
Employee CSAT
Teams / portal message trigger
Classifier declines off-KB topics
Approved articles only
Cite-or-refuse skill
HITL when confidence < threshold
Intelligent routing
ICARUS routes each skill to the cheapest model that meets capability, residency, and budget — invisible to builders, enforced at runtime.
Fast tier · pre-call guard
Sample task
Is this IT support question on-topic for the approved knowledge base?
Policy checks
Outcome
Off-topic requests are refused before retrieval — no model call, no cost.
Balanced tier · cite-or-refuse
Sample task
Answer from approved KB articles with mandatory citations.
Policy checks
Outcome
Answers include article IDs; ungrounded responses are blocked at runtime.
Premium tier · approval-gated
Sample task
Correlate alerts, logs, and CMDB context for root-cause hypotheses.
Policy checks
Outcome
High-cost skills pause for approver release; every step is hash-chained.
Model routing is control-plane managed — builders define skills, not provider models.
Residency pins, approval gates, and budget caps apply before every model call — not only in the deep-dive. See governance & model controls
Quick lab sandbox
The Studio build path — Describe, Generate, Test, Deploy. Preview slot below shows the guided path; run it live in a free trial.
Guided workflow video coming soon
A walkthrough of the Describe → Generate → Test → Deploy path will appear here.
try-icarus-quick-lab-videoROI calculator
Estimate annual hours returned to your team — defaults reflect Incident Classification Triage from the ICARUS 1.0 report.
Example model: Incident Classification Triage
Hours saved per year
1,144
Estimated annual savings
$85,800
Accuracy delta vs manual triage
+26 pts
68% manual → 94% ICARUS
FTE capacity redeployed
~0.6 FTE
Capacity returned for higher-value work at current automation rate
Typical payback vs. team plan3 mo
Payback vs illustrative team plan ($18,000/yr)
Uses your hours, automation %, and blended hourly rate. Payback compares estimated savings to an illustrative team plan at $18,000/year — not a quote.
Illustrative model for planning conversations — not a financial guarantee. Actual savings depend on process maturity and entitlements. See Pricing for current plans. View pricing
Comparison matrix
How intelligent agent workflows compare to manual ops, legacy RPA, first-gen chatbots, and earlier ICARUS builds.
| Dimension | Manual processes | Legacy RPA | Traditional chatbots | Earlier ICARUS | ICARUS 1.0 |
|---|---|---|---|---|---|
| Setup timeTime to first governed production workflow | |||||
| AccuracyClassification and decision quality at scale | |||||
| CostTotal cost of ownership vs manual headcount | |||||
| ScalabilityHandle volume spikes without linear hiring | |||||
| Compliance readinessAudit trail, residency, and approval gates | |||||
| Customization easeAdapt workflows without brittle script rewrites |
Time to first governed production workflow
Manual
RPA
Chatbots
Pre
1.0
Classification and decision quality at scale
Manual
RPA
Chatbots
Pre
1.0
Total cost of ownership vs manual headcount
Manual
RPA
Chatbots
Pre
1.0
Handle volume spikes without linear hiring
Manual
RPA
Chatbots
Pre
1.0
Audit trail, residency, and approval gates
Manual
RPA
Chatbots
Pre
1.0
Adapt workflows without brittle script rewrites
Manual
RPA
Chatbots
Pre
1.0
Feature highlights
From the ICARUS 1.0 framework — what ships in the intelligent agent layer.
Describe outcomes in plain language; ICARUS emits validated typed graphs — never free-form code.
< 2 minMedian draft time
Certified starting points with governance metadata and connector stubs — 5 featured on this page; browse the full catalog in docs.
100+Library size
Approval gates, autonomy L0–L4, budget caps, and hash-chained audit for every run.
L2Production default
Strict RAG by default — scope classifier declines off-task input before any token spend.
0Ungrounded answers
Task-aware model selection by capability, cost, and policy — enforced before every skill call.
BYOMSupported
Publish agents to Teams, web embeds, API webhooks, and ITSM channels from one governed graph.
5+Channels
Technical deep-dive
Architecture topics for platform and security reviewers.
ICARUS agents are versioned workflow graphs — Studio, IDE, and runtime clients share one schema. Published runs pin immutable graph versions; simulation surfaces policy blockers before deploy.
Ready to build
Start with a free trial — the clearest next step for first-time evaluators. Secondary paths stay available for demos, builders, and sales.
Recommended for first-time visitors
Start a Free TrialNo credit card for trial · Governance on by default · Export audit anytime
