Stop letting silent data drift, unusual churn spikes, and revenue leakage go unnoticed for weeks. Deploy an autonomous AI Anomaly Detection Specialist that oversees 8 specialized sub-agents to monitor business metrics, detect statistical deviations, identify financial fraud, and alert leadership 24/7.
Experience how an autonomous primary AI Employee orchestrates 8 specialized sub-agents to vet data, enforce business rules, and trigger human approval gates in real time.
Monitors enterprise data streams, coordinates 8 detection sub-agents, models seasonal baselines, and alerts department leaders to critical revenue, security, and operational anomalies.
Whether you want an instant out-of-the-box employee, want to adapt existing business rules, or need a fully bespoke custom AI employee, RhinoAgents gives you complete flexibility.
Deploy an out-of-the-box AI Anomaly Detection Specialist equipped with all 8 sub-agents. Connects directly to Snowflake, Databricks, PostgreSQL, BigQuery, and Stripe in minutes.
Keep the ready-made employee architecture, but adapt the logic to your exact business operations. Adjust scoring thresholds, set custom knockout questions, alter tone, and define approval triggers.
Build a custom AI anomaly detection employee tailored for FinTech transaction fraud, healthcare billing irregularities, or telecommunications network drops.
Need a purpose-built AI employee tailored to your organization? Use our intuitive step-by-step studio to define identity, channels, orchestrated sub-agents, and task execution logic.
Name your AI employee, upload or select a brand avatar, define its job title, and establish its core personality traits. Configure whether it communicates with a consultative corporate tone, an energetic sales cadence, or a friendly customer care voice.
Sub-agents do not operate as disconnected single-purpose bots. They operate as a synchronized squad orchestrated by the primary AI Employee, exchanging context and data in real time.
Inquiry or record is ingested from web chat, email, form submission, or webhook. Primary AI Employee verifies context and dispatches it to the Intake sub-agent.
Data is parsed against your custom rubrics. Sub-agents verify external databases, enrich missing parameters, and calculate objective qualification scores.
Scores meeting your auto-advance threshold proceed immediately. Borderline cases generate an executive summary card to a designated Slack channel for human 1-click review.
Sub-agents book calendar invites, trigger confirmation notifications, and write full audit logs into your CRM, ERP, and database systems automatically.
Each sub-agent is an autonomous specialist. Use them together under the Primary AI Employee or configure individual rules, knockouts, and triggers for each.
Learns historical day-of-week, hour-of-day, and holiday patterns, constructing dynamic statistical confidence bands for every KPI.
Monitors checkout conversion rates, payment authorization drops, and refund spikes to catch silent billing bugs immediately.
Detects sudden drops in daily active users (DAU), feature usage, or account logins, identifying user onboarding friction.
Scans data warehouse tables in Snowflake or BigQuery for NULL spikes, schema shifts, duplicate keys, and missing ETL batches.
Flags unexpected inventory burn rates, phantom stock discrepancies, or abnormal order cancellations across regional distribution centers.
Correlates metric deviations across secondary dimensions (browser version, geographic region, device type) to isolate root causes.
Detects rapid ad budget burn, sudden CPC surges, or conversion attribution drops across Google Ads and Meta campaigns.
Dispatches clear, contextual notifications to executive Slack channels and generates weekly business health summaries.
You never have to accept a rigid black-box AI. Every scoring weight, knockout condition, tone guideline, and approval gate can be altered in seconds using visual toggles or natural language.
Use visual percentage sliders to weight qualification rubrics (e.g. 40% Fit Criteria, 30% Budget/Timeline, 20% Tech Stack, 10% Profile Quality).
Add non-negotiable prerequisite rules. If an inquiry fails any knockout criteria, it is politely handled with an automated response without wasting your team's time.
Define exact score brackets that trigger instant execution versus those requiring human team sign-off via Slack or email.
TIER_1_VIPCALENDAR_SYNC_SENIOR_PANELSLACK_DISPATCH(#sales-leads)From agile high-velocity startups to established enterprise organizations, deploy an autonomous AI Anomaly Detection Employee tailored to your operational velocity.
Autonomous telemetry inspection, root-cause correlation, and auto-remediation runbooks across microservices.
Cut alert noise by 70%, correlate cross-service traces, and trigger instant PagerDuty escalations for genuine P0s.
Block prompt injection attacks, neutralize credential leak attempts, and maintain continuous GDPR logs.
Provide 24/7 autonomous client monitoring, ticket classification, and automated node failovers.
Replacing administrative manual labor with an autonomous AI Anomaly Detection Employee delivers direct returns on execution speed, operational accuracy, and staffing overhead.
Detect infrastructure anomalies, latency spikes, and security drifts in seconds across telemetry.
Intelligent deduplication filters noise and only alerts your on-call engineers for genuine P0/P1s.
Executes pre-approved remediation scripts, spins down degraded nodes, and logs recovery steps.
Security sub-agents inspect inputs before LLMs process them, protecting proprietary company data.
Telemetry monitoring, anomaly detection, root-cause triage, and post-mortem creation working as one.
Full bidirectional connectivity with Langfuse, Datadog, PagerDuty, Slack, Jira, and GitHub.
Connect your CRM, messaging channels, databases, and enterprise tools in seconds. The AI employee synchronizes updates automatically without changing your team's workflow.
Everything you need to know about hiring, customizing, and scaling autonomous AI employees.
It uses dynamic machine learning baselines that adapt to seasonal trends (weekends, holidays, Black Friday) and enforces statistical confidence intervals so minor normal fluctuations don't trigger alerts.
It connects natively to Snowflake, Google BigQuery, Databricks, Amazon Redshift, PostgreSQL, Stripe, and Google Analytics 4.
Yes. You can configure webhooks: for example, pausing an ad campaign when CPC surges 300%, or switching payment gateways when failure rates exceed 5%.
It can ingest historical time-series data immediately to establish baselines within 15 minutes of connecting to your database.
RhinoAgents operates on a transparent credit-based model with zero per-seat human fees. You start with 1,000 free execution credits on our Free Trial ($0). Monthly plans start at $20/month (Starter: 10,000 credits/mo), $49/month (Pro: 50,000 credits/mo), and $99/month (Business: 150,000 credits/mo). Credits are consumed based on task complexity (such as research, data processing, workflow orchestration, communication, or CRM/ERP syncing). Unlimited human team members can access and collaborate with the AI employee without paying user seat penalties.
RhinoAgents pays for 100% of the underlying AI model costs (LLM tokens for GPT-4o, Claude 3.5 Sonnet, Gemini, etc.) and cloud computing infrastructure—all covered directly by your monthly credit allotment. You never need to supply your own OpenAI or Anthropic API keys. The customer is only responsible for their own external third-party software subscriptions and tool accounts (such as your existing CRM, ATS, Twilio, WhatsApp Business API, ERP, or cloud accounts). RhinoAgents connects seamlessly via 1-click native integrations with zero markup.
Deploy in 15 minutes. Connect your CRM, email, and tools with 1-click connectors. Experience the power of an orchestrated AI team without adding headcount.