See the operating model—not just the promise.
Twelve detailed scenarios show how voice, digital and agent-assist AI could reshape service across organisations of different sizes.
These studies use realistic modelled inputs to show how an AIIT solution could perform. They are not reports of named or unnamed customer deployments.
Find a comparable operating challenge.
Showing 12 scenarios
Electrical services
Turning after-hours calls into booked electrical work
A voice receptionist captures urgent faults, qualifies residential enquiries and books suitable appointments while the field team stays focused.
Dental care
Making appointment access easier across a dental group
Voice and digital journeys coordinate bookings, reminders and common administrative questions across four clinics.
Insurance
Accelerating first notification of loss
A SAM digital employee guides policyholders through claim intake, document collection and triage across voice and messaging.
Banking
Reducing routine demand without losing customer trust
Authenticated self-service resolves routine banking enquiries while preserving clear controls and specialist handover.
Lending
Creating a faster, more complete loan application journey
An omnichannel assistant guides applicants, requests documents and keeps cases moving without making lending decisions.
Debt collection
Supporting respectful payment self-service
A policy-led digital employee expands contact options, captures circumstances and routes hardship cases appropriately.
Healthcare administration
Coordinating outpatient scheduling at scale
An administrative assistant handles referral-status questions, appointment changes and reminders while clinical matters remain with care teams.
Property management
Triaging maintenance requests around the clock
A voice and messaging assistant identifies urgent property issues, gathers evidence and coordinates the correct response.
Hospitality
Capturing reservations while the restaurant is serving guests
A natural voice receptionist handles bookings, changes and common venue questions during busy service periods.
Logistics
Giving customers immediate delivery visibility
A digital service layer answers tracking questions, captures delivery changes and prepares exceptions for operations teams.
Contact centres
Supporting agents through complex service conversations
Real-time knowledge, guided actions and automatic summaries help a national contact centre handle diverse enquiries consistently.
Professional services
Organising accounting enquiries before the first meeting
A digital receptionist qualifies new enquiries, gathers document context and schedules the right type of consultation.
Useful modelling starts with visible assumptions.
A plausible baseline defines the current operating demand.
A bounded AI workflow determines which contacts can be supported.
Modelled outcomes account for exceptions, transfers and human review.
Actual results depend on demand, data quality, integrations and adoption.
Browse the SAM role directory
Browse 81 Typical SAM Roles — from receptionist and claims specialist to compliance, sales and operations — each a Digital Employee powered by ANNA and managed by AIM.
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