Frequently asked questions

A Super Agent Model is a Digital AI Employee: an AI worker with a defined role, a voice, access to approved knowledge and systems, and clear rules about what it may decide and when it must hand over to a person.

A chatbot usually answers questions from a script. A SAM coordinates understanding, knowledge, actions in your systems, conversation memory and escalation, so it can complete tasks end to end rather than only reply.

Voice calls, web chat, SMS, email and messaging channels such as WhatsApp, Facebook Messenger, Instagram and others, with one consistent identity and shared context.

Common roles include receptionist, booking coordinator, customer service agent, claims intake, collections reminders, application intake, order support and after-hours cover. Each role is scoped to your rules.

No. Decisions that require professional authority, such as lending, underwriting, clinical or legal judgements, stay with qualified people. A SAM prepares information and hands over.

Yes. A SAM can respond at any time, resolve routine matters and prepare the rest for your team, with separate paths for urgent situations.

ANNA — the Advanced Neural Network Architecture, developed by AIIT and the Alphera Media Group — is the name of AIIT’s conversational AI persona, the voice and personality your customers speak with on the phone and in digital channels.

ANNA can use natural New Zealand voices, and wording is tuned to sound local and respectful. Voice choice can be matched to your brand.

Yes. ANNA is designed for natural turn-taking, so callers can interrupt, redirect or give details out of order.

AIIT recommends being honest about AI. Customers can always ask for a person, and ANNA transfers with a summary so they do not repeat themselves.

In most cases, yes. Calls can be forwarded or routed to ANNA at chosen times, such as after hours, at peaks or all day.

A visual environment for designing, testing, versioning and releasing AI journeys, so operations teams can see and control how the AI behaves.

Not for most changes. Journeys, wording, rules and handovers are configured visually. Integrations are set up by AIIT.

For dealerships, AIIT offers an AI merchandising studio that helps create consistent vehicle imagery, interactive views and promotional media, alongside ANNA for customer conversations.

Yes. Journeys are tested against realistic scenarios, approved and versioned, with rollback available if needed.

A ready-to-configure AI receptionist for small and medium businesses that answers calls, captures enquiries, books appointments and sends summaries.

Live guidance for your staff during calls and chats: relevant knowledge, guided steps, policy prompts and automated after-call notes.

A role-aware workspace combining customer context, checklists and AI-drafted notes and correspondence for review and approval.

Small businesses across 100 business types, insurance, debt collection, banking, lending, healthcare administration, ecommerce, auto dealerships and contact centres.

Access is scoped to what each journey needs, sensitive fields can be masked or excluded, actions are logged and client data is kept separate. AIIT aligns deployments with the Privacy Act 2020 and your own policies.

CRM, booking and scheduling, contact-centre, ecommerce (including Shopify), policy, account and case-management systems, via APIs and secure connectors.

Pricing depends on channels, volumes and integrations. AIIT provides a quote after a short discovery conversation.

Timelines depend on scope. A focused first journey is usually quicker than a multi-department rollout. AIIT agrees a plan with you during discovery.

We agree measures and capture a baseline before a pilot, then report on the same indicators afterwards, so decisions rest on your own evidence.