
Organising accounting enquiries before the first meeting
A digital receptionist qualifies new enquiries, gathers document context and schedules the right type of consultation.
A realistic starting point.
A growing accounting practice receives enquiries through phone, web forms and email. Partners spend time asking the same introductory questions, and prospects sometimes book the wrong meeting type.
A digital employee built around the work.
ANNA asks about business stage, accounting needs, urgency and existing systems, then offers an appropriate consultation type from approved calendars. It provides a tailored preparation checklist while avoiding tax or financial advice.
From first contact to a useful outcome.
- 01
Identify whether the enquiry is business or personal
- 02
Capture service need, timing and current systems
- 03
Check fit against the practice’s published scope
- 04
Offer the correct consultation type
- 05
Send a relevant preparation checklist
- 06
Give the adviser a structured pre-meeting brief
What a well-run scenario could change.
Planning estimates only. Not a promise, forecast or report of actual AIIT client performance.
Partner intake time
Correct meeting type booked
Prepared first meetings
The conditions behind the model.
These boundaries make the scenario interpretable. Change the demand, workflow mix, integration quality or adoption rate and the potential outcomes change as well.
The assistant does not provide accounting, tax or financial advice
Practice scope and calendars are maintained by staff
Qualified means matching published service and client criteria
The scenario does not attach revenue to additional consultations
How this scenario could be implemented.
Map enquiry types and consultation criteria
Create concise boundaries for advice questions
Connect calendars and preparation checklists
Review fit decisions and refine questions monthly
What matters beyond automation.
Good qualification should feel helpful, not interrogative.
Preparation checklists make the first human conversation more valuable.
Clear advice boundaries protect both prospective clients and the practice.
About this scenario: AIIT created this fictional, anonymised operating example to support planning conversations. The figures are calculations based on the assumptions shown above; they do not represent an existing client, testimonial or guaranteed result.
Model the opportunity in your organisation.
We can replace these assumptions with your contact volumes, workflows, service targets and operating costs.
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