Agentic AI Atlasby a5c.ai
OverviewWikiGraphFor AgentsEdgesSearchWorkspace
/
GitHubDocsDiscord
iiRecord
Agentic AI Atlas · End-to-End Customer Journey Audit
workflow:end-to-end-customer-journey-audita5c.ai
Search record views/
Record · tabs

Available views

II.Record viewspp. 1 - 1
overviewjsongraph
II.
Workflow JSON

workflow:end-to-end-customer-journey-audit

Structured · live

End-to-End Customer Journey Audit json

Inspect the normalized record payload exactly as the atlas UI reads it.

File · workflows/workflows/workflows-cross-domain.yamlCluster · workflows
Record JSON
{
  "id": "workflow:end-to-end-customer-journey-audit",
  "_kind": "Workflow",
  "_file": "workflows/workflows/workflows-cross-domain.yaml",
  "_cluster": "workflows",
  "attributes": {
    "displayName": "End-to-End Customer Journey Audit",
    "workflowKind": "governance",
    "triggerType": "scheduled",
    "typicalCadence": "quarterly",
    "complexity": "cross-team",
    "description": "Audits the complete customer journey from acquisition to retention --\nmapping touchpoint performance across marketing campaigns,\nwebsite/app conversion funnels, sales engagement sequences,\nonboarding flows, and post-purchase support interactions, analyzing\ndrop-off rates and friction points at each journey stage, evaluating\ncross-channel attribution model accuracy, reviewing NPS and CSAT\ntrends correlated with journey stage and customer segment, assessing\npersonalization engine effectiveness across touchpoints, auditing\ndata handoff integrity between marketing, sales, and customer\nsuccess systems, and modeling customer lifetime value by acquisition\ncohort. Produces customer journey health map, friction point\ninventory, and cross-functional improvement priorities. Excludes\ncampaign or feature development.\n"
  },
  "outgoingEdges": [
    {
      "from": "workflow:end-to-end-customer-journey-audit",
      "to": "role:product-owner",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:end-to-end-customer-journey-audit",
      "to": "role:data-scientist",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:end-to-end-customer-journey-audit",
      "to": "role:planner",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:end-to-end-customer-journey-audit",
      "to": "skill-area:data-warehouse-modeling",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:end-to-end-customer-journey-audit",
      "to": "skill-area:python-data-pipelines",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:end-to-end-customer-journey-audit",
      "to": "skill-area:data-quality",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:end-to-end-customer-journey-audit",
      "to": "domain:customer-experience",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:end-to-end-customer-journey-audit",
      "to": "domain:marketing",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:end-to-end-customer-journey-audit",
      "to": "domain:sales",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:end-to-end-customer-journey-audit",
      "to": "domain:digital-marketing",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:end-to-end-customer-journey-audit",
      "to": "responsibility:data-quality-monitoring",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:end-to-end-customer-journey-audit",
      "to": "responsibility:retro-facilitation",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:end-to-end-customer-journey-audit",
      "to": "org-unit:customer-success",
      "kind": "performed_by_org_unit",
      "attributes": {}
    },
    {
      "from": "workflow:end-to-end-customer-journey-audit",
      "to": "org-unit:marketing-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    },
    {
      "from": "workflow:end-to-end-customer-journey-audit",
      "to": "org-unit:sales-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    },
    {
      "from": "workflow:end-to-end-customer-journey-audit",
      "to": "org-unit:analytics-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    }
  ],
  "incomingEdges": [
    {
      "from": "tool:bigcommerce",
      "to": "workflow:end-to-end-customer-journey-audit",
      "kind": "supports_work",
      "attributes": {
        "confidence": "high",
        "evidence": "Commerce events and order state are core customer-journey projection points."
      }
    },
    {
      "from": "tool:medusa",
      "to": "workflow:end-to-end-customer-journey-audit",
      "kind": "supports_work",
      "attributes": {
        "confidence": "medium",
        "evidence": "Order and product-state APIs support customer journey reconstruction."
      }
    },
    {
      "from": "tool-server:mcp-bigcommerce-candidate",
      "to": "workflow:end-to-end-customer-journey-audit",
      "kind": "supports_work",
      "attributes": {
        "confidence": "high",
        "evidence": "Commerce event and order state access would support journey reconstruction."
      }
    }
  ]
}

Shortcuts

Back to overview
Open graph tab