Evidence the run may read
- Sanitized ticket themes
- Approved knowledge index
- Escalation and resolution summary
Compare recurring support questions with approved knowledge coverage and propose prioritized article gaps.
Search intent: AI agent for support knowledge gaps
A scheduled support-content review begins.
customer experience owner
The knowledge owner approves article priority, assignment, and publication.
repeat contacts for documented issues (percent). Measure repeat contacts after approved gap articles publish.
Each stage produces an artifact another stage can inspect. The final node is a person, not an autonomous write to an external system.
Validate and normalize the support knowledge gap detection inputs.
Produce the uncovered question clusters.
Produce the article brief proposals.
Challenge the support knowledge gap detection result and prepare an approval packet.
The knowledge owner approves article priority, assignment, and publication.
Source material is read-only. Drafts land in a case-specific output path. Tools may read or propose; the human gate owns the external write.
workspace/customer-success/knowledge-gap-detection/inputs/**Read only the evidence attached to this workflow instance.
workspace/customer-success/knowledge-gap-detection/outputs/**Write drafts and evidence artifacts without modifying source records.
customer-success:knowledge-gap-detection:read-or-proposeInvoke only tools explicitly granted for this run; external writes remain gated.
The blueprint starts private, caps its DAG, disables replanning, and exposes no public endpoint. Add only the tools and data adapters this workflow has approved.
name: customer-success-knowledge-gap-detection
version: 0.1.0
entrypoint: agent:BlueprintAgent
expose:
public: false
composition:
planning: deterministic_dag
max_nodes: 6
max_parallel: 1
max_replans: 0Every material conclusion cites an input artifact or a scoped tool result from this run.
A gap is backed by representative cases and is not already covered by current approved content.
The run stops at a proposal and records the human decision before any external side effect.
Containment: Return a partial result with unresolved items; do not broaden scope or perform an external write.
Operator: Attach the missing evidence, narrow the brief, or explicitly approve a new scoped run.
Containment: Stop the affected branch and preserve completed artifacts in the case output workspace.
Operator: Grant only the missing resource or continue with that branch marked out of scope.
Current platform receipts sign caller identity or classification, skill, bounded input evidence, verified grant IDs when present, outcome or result preview, and timing. Optional file, tool, artifact, handoff, evaluation, and review fields require separate instrumentation and are not populated by default. Price, fees, payouts, and later human approvals remain separate platform records.
The example uses only fields populated by the current platform sealing paths. It is illustrative, not a record of a real customer run.
{
"receipt_id": "rcpt_01J...",
"schema_version": 1,
"agent_name": "customer-success-knowledge-gap-detection",
"caller": "user:workflow-owner",
"task_id": "case_knowledge_gap_detection",
"skill_name": "knowledge_gap_detection",
"input_hash": "4d7c...9a2f",
"grant_ids": [
"grt_case_inputs",
"grt_tool_propose"
],
"status": "ok",
"result_preview": "Output prepared: Uncovered question clusters. Human decision remains separate.",
"elapsed_ms": 4218
}Classify a customer issue, identify missing context, and route it with an evidence-backed urgency proposal.
Draft a clear answer from approved knowledge and case evidence, with uncertainty and escalation stated explicitly.
Compare a refund request with policy, transaction, usage, and prior-case evidence and prepare a decision packet.
Deploy the workflow as a bounded internal agent, verify its outputs and the receipt fields actually emitted, then expand only the scopes your acceptance test proves it needs.