HaileyAI helps operations, quality, and executive teams understand why callers contacted the business, what the AI call agent did, whether the workflow completed, where transfers or escalations failed, and what should improve next.
Basic phone analytics can show that a call occurred, how long it lasted, or which number received it. That is not enough when an AI call agent is qualifying, scheduling, routing, updating systems, or escalating exceptions.
HaileyAI reporting is organized around operational outcomes: caller intent, workflow completion, resolution status, transfer results, exception reasons, unresolved needs, and the quality signals required to improve production behavior.
Available fields depend on the deployed workflow, approved data capture, connected systems, customer requirements, and retention settings.
See why callers reach out, which workflows are used, and how demand changes by time, location, department, business unit, campaign, or coverage window.
Track whether the caller’s request was completed, partially completed, routed, scheduled, escalated, deferred, or left unresolved.
Review transfer destinations, attempts, success, no-answer outcomes, fallback contacts, escalation reasons, and handoff patterns.
Identify integration errors, missing required fields, unavailable systems, failed actions, unclear requests, and workflows that require investigation.
Where approved, review structured call summaries, captured fields, transcripts, recordings, tool activity, and follow-up requirements.
Evaluate required data capture, workflow accuracy, tone, policy adherence, caller clarity, escalation handling, and outcome quality.
Identify repeated friction, rising call intents, recurring transfer failures, knowledge gaps, routing issues, and workflow bottlenecks.
Summarize call demand, workload handled, completion, escalation, service gaps, and improvement priorities for different stakeholder groups.
Apply deployment-specific access, retention, encryption, recording, transcript, and PII-redaction requirements to reporting workflows.
A useful reporting process connects the original caller request to the action taken, the result, any exception, the QA finding, and the approved workflow change.
Capture available caller, timing, workflow, session, module, and system details.
Identify the caller’s primary request and the workflow selected to handle it.
Record actions, resolution status, transfer result, escalation, and required follow-up.
Surface failed tools, missing information, unclear handling, policy conflicts, or unresolved calls.
Assess accuracy, consistency, clarity, boundaries, caller experience, and workflow adherence.
Apply approved changes to knowledge, routing, escalation, prompts, integrations, or reporting.
HaileyAI is not treated as a one-time configuration that never changes. Real calls reveal new phrasing, edge cases, data gaps, transfer issues, and operational conditions that may not appear during initial testing.
Managed reporting and QA turn those findings into controlled improvements. The objective is not more dashboards. It is more reliable workflow execution, clearer handoffs, fewer avoidable escalations, and better visibility into the work being handled.
Did the system choose the correct path, collect required details, and complete the approved action?
Was the interaction clear, stable, concise, professional, and aligned with the intended caller experience?
Did HaileyAI stay inside scope and involve a human when judgment, sensitivity, or authorization was required?
Did the workflow recover appropriately when a transfer failed, a system was unavailable, or required data was missing?
Different deployments require different review criteria. A dispatch call should not be scored like a sales qualification call or a general receptionist call.
Review classification, required fields, tool use, routing logic, and final outcome.
Review pacing, repetition, clarity, professionalism, and next-step explanation.
Review permissions, prohibited actions, escalation triggers, and sensitive handling.
Review scheduling, qualification, dispatch preparation, transfer, record update, or follow-up.
Different teams need different levels of detail. Reporting can be shaped around operational, quality, security, sales, service, and executive questions.
Review call demand, completed workflows, unresolved needs, escalation demand, and recurring process friction.
Review scorecards, accuracy, tone, consistency, policy adherence, exceptions, and corrective actions.
Review lead quality, qualification outcomes, booked appointments, handoff results, and missed opportunities.
Review intake completeness, urgency, routing, ticket outcomes, escalation, and field coordination.
Review access, retention, recording, transcript availability, PII handling, and deployment-specific governance controls.
Review high-level demand, coverage, workflow completion, operational impact, risk areas, and improvement priorities.
Most tools confirm that a call existed. HaileyAI reporting is designed to explain the caller need, the action taken, the result, and the next improvement opportunity.
| Capability | HaileyAI Reporting & QA | Recordings Only | Basic Phone Analytics | Manual QA |
|---|---|---|---|---|
| Workflow outcome visibility | Tracks intent, action, resolution status, transfer, escalation, and follow-up | Requires manual listening | Usually limited to answered, missed, duration, and call legs | Available after individual review |
| Caller intent trends | Groups reasons callers contact the business | Not structured | Usually unavailable | Possible, but time-consuming |
| Transfer and escalation review | Shows attempts, destinations, success, no answer, fallback, and reason | Manual reconstruction required | May show technical call legs | Possible on reviewed calls |
| Failure and exception tracking | Surfaces tool errors, unresolved calls, missing data, and out-of-scope requests | Not structured | Limited to telephony events | Depends on reviewer notes |
| Workflow improvement | Connects production patterns to approved refinements | Depends on manual note-taking | Not built for workflow tuning | Useful, but difficult to scale |
| QA consistency | Supports workflow-specific scorecards and issue categories | Reviewer dependent | Not applicable | Reviewer and sample dependent |
| Stakeholder reporting | Can separate executive, operations, QA, sales, service, and security views | Requires manual summaries | Mostly telephony metrics | Requires manual consolidation |
A dispatch deployment may emphasize urgency, routing, ticket creation, and field outcomes. A sales deployment may focus on qualification, scheduling, and representative handoff. A receptionist deployment may focus on intent, lookup, transfer, and message quality.
Transcripts, recordings, summaries, data fields, and analytics are available only where approved, technically supported, and aligned with customer requirements. Access, encryption, retention, recording, and PII redaction can be configured based on deployment scope.
Common questions about HaileyAI reporting, QA, scorecards, privacy, and workflow improvement.
Depending on deployment scope, reporting can include call volume, caller intent, workflow selected, actions completed, resolution status, transfer results, escalation reasons, unresolved issues, tool failures, structured summaries, and QA findings.
Transcripts or recordings may be available where technically supported, approved by the customer, and appropriate for the workflow. Availability depends on recording rules, consent, retention, security, and data-handling requirements.
Yes, when those events are included in the deployed workflow. Reporting can capture transfer attempts, destinations, success, no answer, alternate contacts, message fallback, and escalation results.
QA identifies recurring caller issues, classification errors, missing data, routing gaps, failed integrations, unclear responses, weak fallback behavior, and escalation patterns. Approved changes can then be applied to knowledge, prompts, systems, or business rules.
Yes. Review criteria can be aligned to the workflow, such as qualification accuracy, appointment completion, dispatch intake, required-field capture, transfer handling, policy adherence, and caller experience.
PII handling is configured by deployment. Controls may include PII redaction where configured, encryption, access restrictions, approved fields, retention rules, and limits on transcript or recording availability.
No. Reporting helps organize evidence, trends, and exceptions. Human teams remain important for reviewing sensitive situations, approving changes, interpreting business context, and making judgment-based decisions.
Yes. Reporting can be organized around different stakeholder needs, such as executive summaries, operational detail, QA scorecards, sales outcomes, dispatch performance, or security and governance review.
No. Results depend on workflow design, call volume, data quality, system access, business rules, escalation structure, adoption, and deployment scope. Reporting provides measurement and improvement signals, not universal guarantees.
Reporting and QA connect directly to managed deployment, call automation, security, and the production workflows HaileyAI supports.
Try Hailey with a conversation about your call outcomes, transfer paths, QA criteria, reporting needs, data controls, and operational improvement goals.
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