PulseServe Pricing Overview

~$39–59/agent/month, Separate AI-usage metering as per llm token cost

Incident Management AI-powered incident triage — auto-correlates alerts to CMDB, scores severity, groups related signals into one incident Human-in-the-loop (HITL) remediation — AI proposes root cause + fix steps, requires explicit approval before anything executes Multi-tier triage queue (L1.5 through L3 workspaces) with role-based routing
Problem Management AI-assisted root cause analysis — auto-detects recurring alert patterns and opens linked problem records Known error tracking with affected-CI linkage Major incident review / post-incident review workflow
Change Management Full change lifecycle (Standard/Normal/Emergency types) with risk scoring AI-flagged change risk — warns when a pending change touches a CI with open problems CAB (Change Advisory Board) review workflow with configurable voting quorum Forward Schedule of Change (FSC) and change calendar
CMDB & Service Mapping Configuration item (CI) inventory with environment/criticality tracking Live dependency graph (upstream/downstream) per CI Blast radius analysis — shows exactly how many services are impacted if a CI fails
SLA & Governance Configurable SLA targets by priority, with breach/at-risk alerting OLA (internal) and UC (vendor contract) compliance tracking Manager dashboard with real-time SLA health, auto-refreshing
Administration & Security Role-based access control (Admin/Manager/L1.5–L5/Employee persona tiers) SSO via SAML 2.0 / OIDC User, role, group, and permission management Settings recovery / backup / factory reset per namespace
Alerting & Integrations Unified alert ingest from Prometheus, Grafana, PagerDuty, and custom webhooks Alert states: firing / resolved / suppressed
Knowledge & Self-Service Knowledge base with search Employee self-service portal for ticket submission and tracking
Reporting Custom report builder with group-by dimensions (priority, state, category, etc.) Canned reports and exports
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~$19–29/agent/month, AI-usage metering as per llm token cost

Incident Management AI-powered incident triage — auto-correlates alerts to CMDB, scores severity, groups related signals into one incident Human-in-the-loop (HITL) remediation — AI proposes root cause + fix steps, requires explicit approval before anything executes Multi-tier triage queue (L1.5 through L3 workspaces) with role-based routing
Problem Management AI-assisted root cause analysis — auto-detects recurring alert patterns and opens linked problem records Known error tracking with affected-CI linkage Major incident review / post-incident review workflow
Change Management Full change lifecycle (Standard/Normal/Emergency types) with risk scoring AI-flagged change risk — warns when a pending change touches a CI with open problems CAB (Change Advisory Board) review workflow with configurable voting quorum Forward Schedule of Change (FSC) and change calendar
Administration & Security Role-based access control (Admin/Manager/L1.5–L5/Employee persona tiers) SSO via SAML 2.0 / OIDC User, role, group, and permission management Settings recovery / backup / factory reset per namespace
CMDB & Service Mapping Configuration item (CI) inventory with environment/criticality tracking Live dependency graph (upstream/downstream) per CI Blast radius analysis — shows exactly how many services are impacted if a CI fails
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