Insights · hr-ali.com
Designing AI intake: collecting the right information the first time
In short: Good AI intake starts from the decision the enquiry must support, such as which practitioner, course or recruiter should handle it. List the minimum information that decision needs, ask one question at a time with clear options, confirm the answers back, and define exactly when the assistant hands over to a person. Collect nothing sensitive in chat that a secure form could collect instead.
AI intake is the first conversation a new client has with your business, handled by an AI assistant that asks the questions a receptionist or coordinator would ask, records the answers in a consistent format and passes the case to the right person. Done well, your team receives complete enquiries and never has to call back just to ask what the person wanted. Done badly, it becomes a long questionnaire that people abandon halfway through.
Start from the decision, not the questions
Every intake exists to support a decision: which service, which person, how urgent, and what happens next. Write those decisions down before you write a single question. Then list only the information each decision genuinely needs. Anything else can wait until a person is involved.
| Business | Decision the intake supports | Minimum information |
|---|---|---|
| Physiotherapy clinic | Which practitioner and appointment type | Name, contact, new or returning, type of appointment, preferred times, language |
| Training provider | Which course, date and format | Name, organisation, number of learners, online or in person, preferred dates |
| Recruitment agency, candidate side | Which recruiter or vacancy | Name, contact, role of interest, location, availability, link to upload a CV |
| Recruitment agency, employer side | Which account manager | Company, role to fill, number of hires, location, target start date |
| Coach | Whether a first call makes sense | Name, goal in one sentence, preferred call times, language |
Notice that the clinic row asks for the type of appointment, not a description of symptoms. The practitioner will ask about those in a setting designed for it.
Write the question flow
- One question per message. People answer short questions; they skip long ones.
- Offer options where you can. Buttons or numbered choices give you clean data. Keep one free-text question at the end for anything else.
- Ask for a contact route early, and say why. If the chat drops, your team can still follow up. A simple line such as so we can reply if we get disconnected is enough.
- Branch rather than ask everything. An employer and a candidate need different questions; the first question should split them.
- Confirm back. Summarise the answers in one message and let the person correct anything before submitting.
- Say what happens next. Tell them who will contact them, through which channel and roughly when, using the response times your team can actually keep.
If you serve clients in several languages, let the assistant reply in the visitor's language, but have a fluent person approve the fixed wording and option lists in each one. Automatic translation of a menu option like new patient or follow-up can produce wording that confuses.
Handoff rules: when a person takes over
The most important part of intake design is deciding when the assistant stops. Write these rules explicitly and test them:
- The person asks for a human, in any wording.
- The message suggests urgency or risk, such as a medical emergency or a safeguarding concern. The assistant should give your emergency guidance and alert staff, not continue the questionnaire.
- A complaint, a billing dispute or a request involving a contract.
- Questions about price exceptions, eligibility decisions or anything that commits the business.
- The assistant has failed to understand twice in a row.
- The visitor is an existing client with an ongoing case.
An intake assistant collects and routes. It should not diagnose, give legal or financial advice, assess a candidate's suitability or promise outcomes.
Privacy and legal points to design in
Under the GDPR's data minimisation principle (Article 5(1)(c)), you should collect only what is necessary for the purpose. For clinics this matters doubly, because health data is a special category under Article 9 with stricter conditions. Ask for a category, not details, and move anything sensitive to a secure form or portal. Tell people they are talking to an AI assistant; the EU AI Act includes transparency duties of this kind, and it is good practice everywhere.
Recruiters should be especially careful. The EU AI Act classes AI systems used to filter applications or evaluate candidates as high-risk, with significant obligations. An assistant that only collects details and routes them to a recruiter is a very different thing from one that scores or rejects candidates. Keep selection decisions with people unless you have taken proper advice.
Test with real conversations before launch
- Run the five most common enquiries from the last month through the assistant and compare the output with what your team needed.
- Try vague openers such as hi or price? and check the assistant recovers gracefully.
- Try each handoff trigger and confirm that the right person is alerted.
- Test in every language you offer, on a phone.
- Ask a colleague who did not design it to break it.
- After launch, read a sample of transcripts every week for the first month and adjust questions that cause drop-offs or repeat questions.
A simple measure of success: how often does your team still need to contact someone just to ask a basic question the assistant should have asked? If the answer is often, the question set needs work, not the AI model.
Putting it into practice
Write your decision table and handoff rules first, even on paper. That alone improves enquiry forms and phone scripts. When you are ready to put an assistant on your website, email or WhatsApp, our AI intake and automation service is scoped and quoted in writing. If WhatsApp will be one of the channels, read our guide to WhatsApp Business setup and message rules. For the website itself, compare the packages, or send us your current intake questions for a written proposal.
Questions and answers
How many questions should an AI intake ask?
As few as the decision needs. For most clinics, trainers and coaches that is five to eight short questions, with options where possible. If a question does not change who handles the enquiry or what happens next, leave it for the person who takes over.
Should the assistant tell people it is AI?
Yes. Being clear that the visitor is talking to an AI assistant builds trust, is expected under the EU AI Act's transparency rules, and makes it natural to offer a human alternative.
Can AI intake screen job candidates?
It can collect details and route them, but scoring or filtering candidates is treated as high-risk under the EU AI Act and carries extra obligations. Keep hiring decisions with your recruiters unless you have taken specific advice.
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