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WAHNXCheck your fit
Bookings in the conversations customers already use

Turn customer messages into confirmed appointments—with your rules in control.

WAHNX is being built for appointment-based businesses that want a clearer way to answer approved FAQs, offer valid times, and manage booking or rescheduling requests through connected messaging channels.

AI helps understand the request. Structured workflows validate availability, policy, and customer confirmation before anything changes.

Illustrative workflow — sample data

Try a structured booking flow

Interactive sample

Customer request

“Can I book a consultation with Maya next Tuesday afternoon?”
Intent interpreted

Consultation · Maya · Tuesday afternoon

AI interprets intent and can answer from approved FAQ content. The structured workflow validates every booking action.

01
Request understood

Required details are organized for validation.

02Choose a sample timeTimes shown here are illustrative.
03
Confirm explicitly

Final rules and availability are rechecked before a booking is committed.

Choose one of the sample times to continue.

This preview is not connected to a live booking, payment, calendar, or customer system.

01

Rules before actions

Availability, policy, consent, and access checks stay deterministic.

02

Confirmation before commitment

Customers see the final appointment details before a booking changes.

03

A traceable operating record

High-impact owner actions require approval and an audit trail.

The everyday friction

A busy day should not scramble the schedule.

Customer messaging is convenient, but unstructured appointment requests can create extra work for the people running the business.

01

Booking requests arrive at inconvenient times

A new appointment request can be easy to miss while a team is with customers, travelling, or away from the phone.

02

Appointment details become fragmented

Dates, services, policies, and follow-up messages can end up spread across chats and handwritten notes.

03

The same questions keep returning

Hours, directions, service details, and booking policies add repetitive work when every response is manual.

A controlled path to confirmation

Conversation on the outside. State machine underneath.

The customer gets a natural exchange. The business gets a predictable sequence with required details, validation, confirmation, and an auditable record.

01
AI assistAR-6

Understand the request

AI can identify booking intent or answer from approved FAQ information. If a request is unclear, it asks a focused question or hands off.

02
WorkflowAR-5 · WF-1

Collect and validate details

The workflow checks the business context, service, required fields, timezone, and booking policy before presenting any choice.

03
WorkflowWF-1

Offer valid times

Only available options are shown. A selected time can be held briefly while the customer reviews the final appointment details.

04
CustomerWF-1

Ask for explicit confirmation

The customer confirms the service, date, time, timezone, and business. The workflow rechecks availability before it commits.

05
WorkflowAR-3 · AR-4

Save, confirm, and queue handoffs

The booking record is saved first. Customer confirmation, reminders, and secondary calendar work are queued only afterward.

A focused product boundary

Built around appointments, not vague automation.

Core booking behavior is separated from the channel and lifecycle work that still depends on provider permissions and staged rollout.

01Core workflow

Book

Structured appointment booking

Collect required details, offer valid slots, place a short hold, and confirm only after a final policy and availability check.

Plan reference · AR-5 · WF-1
02Core workflow

Change

Rescheduling inside WhatsApp

Customers can request a new time, review valid alternatives, and confirm the change without being sent to a separate rescheduling page.

Plan reference · WF-1
03Core workflow

Answer

FAQ assistance with guardrails

Answers come from approved business information. Low-confidence or materially ambiguous requests trigger clarification or human handoff.

Plan reference · AR-6
04Core workflow

Remember

Customer calendar handoff

After confirmation, customers can add the persisted appointment to Google Calendar, Apple Calendar, or Outlook for personal reminders.

Plan reference · WF-2
05Planned rollout

Connect

Channel-aware by design

Business-owned WhatsApp, Instagram, Facebook, and webchat endpoints are part of the planned architecture, subject to provider permissions and rollout validation.

Plan reference · AR-2
06Planned rollout

Follow up

Consent-aware lifecycle messages

Planned thank-you and rebooking messages recheck consent, booking state, recent contact, and suppression rules before sending.

Plan reference · WF-3 · WF-4

Clear division of responsibility

Helpful language understanding. Deterministic business actions.

WAHNX keeps the flexible part of a conversation away from the controls that decide whether an operational action is valid.

AI can assist

Interpret and clarify

  • Answer from approved FAQ information
  • Identify a likely booking or rescheduling intent
  • Extract candidate service, date, and time details
  • Ask a focused question when the request is unclear

Workflows must decide

Validate and commit

  • Resolve the correct business and authorized role
  • Enforce availability, policies, and required fields
  • Apply consent, idempotency, and version checks
  • Persist a booking only after explicit confirmation
When confidence is low

WAHNX asks for clarification or routes to a person. It does not guess a transaction.

Who it is being designed for

Appointment-led local businesses.

The strongest fit is a business with clear services, availability, booking policies, and repeat questions customers ask before scheduling.

01

Personal care teams

A strong fit when service duration, staff availability, and rescheduling policies shape every appointment.

Salons, barbers, and grooming studios
02

Wellness appointments

Useful where customers often ask the same preparation questions before choosing an available time.

Wellness studios and independent practitioners
03

Professional consultations

Designed for appointment requests that need a few structured details before a valid slot can be offered.

Advisors, consultants, and specialist services
04

Local service appointments

A practical fit when a business wants one controlled path from an inbound message to a confirmed visit.

Local service teams with scheduled visits

Pilot readiness

Built for a careful pilot, not a rushed launch.

Public availability depends on provider approvals, operational checks, and evidence that booking behavior remains correct under duplicate, concurrent, failure, and timezone cases.

Now

Build and validate the operating rules

Tenant boundaries, booking transitions, consent records, and failure handling are part of the launch gate—not afterthoughts.

Next

Complete provider onboarding

Meta eligibility, channel permissions, template rules, and commercial assumptions must be verified before public availability.

Pilot

Target controlled availability in 2027

The current plan targets February 2027, with March reserved as schedule buffer if approvals or launch checks remain open.

Pricing status

Final plans will follow commercial validation.

Included WhatsApp usage will be published only after Meta billing rules, regional rates, provider fees, and chargeable units have been verified.

Read the launch FAQ

Clear by design

Questions, answered without the fine print.

What WAHNX is planned to do, where the boundaries sit, and what still depends on provider approval.

AI is limited to interpreting customer intent, extracting details, asking for clarification, and answering from approved FAQ content. Structured workflows—not AI—enforce required fields, permissions, booking rules, availability, consent, and confirmation before an action can be committed.