Public Dataset

AI Revenue Workflow Dataset

A public reference asset of 165 AI workflow records mapped by business metric, AI role, human review point, risk boundary, and pilot readiness.

Records

165

Sources

68

Departments

6

KPI labels

10

Claim Boundary

The dataset is a pilot-readiness and workflow-design asset. It does not claim field-validated performance lifts unless separate evidence is attached.

Claim Levels

160 records are pilot-shaped, 5 are directional, and none should be read as outcome benchmarks.

Readiness

165 records currently score high readiness based on evidence clarity, AI fit, human review, risk containment, and measurement design.

Cite This Dataset

Citation-ready reference text

Dataset JSON

AI Revenue Workflow Dataset: 165 workflows mapped by business metric, AI role, human review point, risk boundary, and pilot readiness. AI Deployment Authority, 2026.

Sample Records

What each workflow record contains

Marketing Ops / Qualified Lead Increase

Website Contact Form Routing

Generic contact forms collect messy demand: sales inquiries, support issues, job seekers, vendors, existing customers, spam, and partner notes arrive through the same pipe. If the form record cannot be classified and assigned cleanly, response speed does not matter because the wrong person owns the wrong conversation.

contact_form_assignable_lead_rate

Sales / Qualified Lead Increase

Landing Page Lead Intake

Landing pages often create leads without preserving the reason the buyer converted. The CRM receives a name and email, but loses the offer, audience, ad group, UTM trail, promise, and intended follow-up path that made the response commercially meaningful.

landing_page_offer_context_completion_rate

Sales / Qualified Lead Increase

Chatbot Lead Capture

Chatbot lead capture stays weak when chat transcripts become leads without enough qualification, consent, contact data, source page, support-versus-sales routing, and transcript-risk review. The business problem is not missing AI output; it is missing evidence, owner review, and exception handling that determine whether the workflow can safely move forward.

chat_lead_handoff_acceptance_rate

Sales / Qualified Lead Increase

Missed Call Lead Capture

Missed calls often represent invisible demand. Phone logs show a number and timestamp, but the CRM may not know whether the caller is a prospect, customer, vendor, duplicate account, emergency request, or spam. Without identity matching, callbacks become random and hard to measure.

missed_call_recovery_disposition_rate

Sales / Qualified Lead Increase

Event Lead Capture

Event Lead Capture is weak when lead capture teams rely on scattered notes, incomplete fields, and informal judgment instead of a source-backed operating record. The problem is not a missing AI draft; it is the missing owner, evidence, exception status, and review path that decide whether the work can safely move forward.

event_lead_capture_review_ready_rate

Sales / Qualified Lead Increase

Download Form Lead Capture

Download form lead capture stays weak when content downloads are treated as sales demand even when the asset topic, fit, repeat engagement, consent, and intent threshold are unclear. The business problem is not missing AI output; it is missing evidence, owner review, and exception handling that determine whether the workflow can safely move forward.

download_lead_path_accuracy_rate