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Workflow and module design
Define what Hailey should handle, which modules are needed, what information to collect, and where human judgment belongs.
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HaileyAI designs, deploys, monitors, maintains, and improves managed AI call modules around your workflows, systems, routing rules, escalation paths, reporting needs, and customer experience.
A strong caller experience depends on more than speech generation. HaileyAI manages the workflow logic, approved actions, system connections, escalation boundaries, reporting, and production behavior that turn a conversation into an operational outcome.
HaileyAI helps design the caller journey, configure the appropriate modules, connect approved systems, validate real scenarios, launch carefully, and refine production behavior over time.
Our team helps build, manage, monitor, maintain, and optimize the deployment so your organization is not left alone to manage prompts, routing logic, edge cases, and production quality.
Each Hailey module represents a type of work the managed deployment can handle. Use one module for a focused workflow or combine several modules into one natural caller experience.
General answering, phone-tree replacement, department routing, messages, warm transfers, and first-contact triage.
Explore the module → AppointmentsBooking, rescheduling, cancellations, confirmations, service windows, reminders, and scheduling intake.
Explore the module → OrdersNew orders, reorders, supply requests, order status, purchase-order collection, and structured handoffs.
Explore the module → ServiceService intake, troubleshooting intake, urgency classification, dispatch coordination, and escalation workflows.
Explore the module → Complex operationsCross-department, multi-system, approval-driven, and industry-specific workflows that require deeper scoping.
Explore the module →Conversational quality is only one piece. Workflow logic, module configuration, escalation design, system connections, reporting, and optimization are what make the deployment useful after launch.
Define what Hailey should handle, which modules are needed, what information to collect, and where human judgment belongs.
Configure call handling, knowledge boundaries, routing behavior, escalation paths, testing scenarios, and approved integrations.
Review outcomes, transfer behavior, caller-intent patterns, anomalies, and edge cases so issues can be identified and resolved.
Refine module behavior, workflows, approved wording, routing logic, and knowledge sources as real call patterns evolve.
HaileyAI deployments are structured so every module knows what it can do, what remains outside its scope, and how to escalate work back to your team when needed.
Review call types, departments, locations, after-hours rules, escalation paths, and caller expectations.
Define intake questions, routing logic, approved actions, system updates, and exception handling.
Set module responsibilities, voice behavior, tone, knowledge boundaries, transfer paths, and workflow rules.
Validate routine calls, edge cases, transfer behavior, escalation logic, and caller experience.
Move into production with workflows, reporting, and review expectations aligned before live use.
Use call outcomes and QA review to refine behavior, routing, and operational performance.
The difference shows up after the sales presentation, when real callers start asking messy questions and the business still needs clean outcomes.
| Capability | Traditional IVR | DIY voice bot | HaileyAI Managed AI Service |
|---|---|---|---|
| Implementation model | Menu setup and call routing. | Tool configuration handled by your team. | Managed module design, implementation, monitoring, maintenance, and refinement. |
| Caller experience | Button presses and phone trees. | Often depends on prompt tuning and limited templates. | Generative Speech AI built around real caller intent and approved workflows. |
| Workflow fit | Rigid paths that break when callers do not fit the menu. | Flexible in theory, but often hard to operationalize. | Mapped around your terminology, systems, rules, and escalation paths. |
| Exceptions | Usually routed to a catch-all queue or voicemail. | Requires careful setup and ongoing management. | Escalation boundaries are defined before production use. |
| Visibility | Basic call routing reports. | Varies by platform and configuration. | Call outcomes, trends, QA signals, and workflow performance can be reviewed. |
| Best fit | Simple menu routing. | Teams with time and expertise to build and maintain it themselves. | Businesses that want managed AI modules operating as part of real call operations. |
HaileyAI pricing combines the managed platform, the modules deployed for your operation, handled-call usage, and separately scoped build and implementation.
Final pricing depends on call volume, module scope, average handling time, integrations, escalation requirements, reporting needs, and the operating environment. Third-party vendor, carrier, API, licensing, or customer-side IT costs may be separate unless included in the proposal.
Use these pages to review the modules, platform capabilities, pricing, reporting, security approach, and implementation process in more detail.
Compare Operator, Scheduler, Order Coordinator, Service Coordinator, and Custom.
Review Generative Speech AI capabilities, routing, integrations, analytics, and workflow execution.
Review the platform fee, module pricing, handled-call usage, implementation, and planning calculator.
Understand call outcomes, trends, quality review, anomaly monitoring, and workflow performance.
Review secure data handling, access controls, governance alignment, and implementation review.
See how discovery, module design, configuration, testing, launch, and optimization fit together.
Quick answers for teams comparing HaileyAI with DIY voice AI platforms, IVRs, answering services, and internally managed automation.
Generative Speech AI is HaileyAI’s approach to real-time business communication: understanding natural spoken intent, generating context-aware responses, following approved business rules, and completing or escalating operational workflows during the conversation.
The managed service can include workflow and module design, implementation support, testing, integrations, production monitoring, reporting, QA review, maintenance, operational support, and ongoing refinement.
A deployment may use one module or combine several. For example, Operator can answer and triage the call before Scheduler books an appointment or Service Coordinator structures a service request. For the caller, it remains one natural conversation.
No. HaileyAI is designed to reduce repetitive inbound workload while keeping human teams available for exceptions, approvals, sensitive requests, complex situations, and decisions requiring judgment.
Call outcomes, caller intents, escalation patterns, transfer results, anomalies, and QA observations can be reviewed so module behavior, workflows, routing logic, and knowledge sources can be refined over time.
HaileyAI can be deployed around existing systems and processes depending on scope, API access, data requirements, security review, and workflow needs. Specific integrations are evaluated during implementation.
The standard monthly structure includes a $4,500 platform fee, $1,500 per deployed Hailey module, and handled-call usage that typically begins around $2 per call. Build and implementation are scoped separately based on workflows, integrations, testing, security requirements, and deployment scope.
Show us how calls move through your business. We’ll help identify the right Hailey modules, the workflows they should handle, the systems involved, and where human escalation belongs.