Assisted Living Software: AI Features to Ask For on a Demo

Ask every vendor to show, on a made-up resident, five AI features working live: draft care-plan or service-plan text, summarise a week of notes, answer a family question from the record, flag a change in condition, and write the enquiry follow-up. Anything shown only as a slide or "coming soon" is not a feature yet.

The difficulty is that "AI" now appears on almost every product page, and the label covers three very different things: rules that existed for years under a new name, language models that draft or summarise text, and genuine prediction from data. A good demo separates them, and scoring every vendor on the same tasks, the ones your care, billing and sales staff actually do, stops a polished presentation from hiding the gaps.

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Sort the claims into three bins before the demo starts

Print a page with three columns and tell the salesperson you will be sorting what you see. It is a friendly way to keep the demo honest, and most salespeople respect it.

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• Automation with a new label. A task fires when a date arrives or a box is ticked: a medication-review reminder, a rent invoice on the first of the month, an alert when an assessment is overdue. Useful, but not AI. It should cost nothing extra.
• Language-model features. Software that reads or writes sentences: a draft of a progress note from your bullet points, a summary of seven days of care notes, a reply to a family email. These are the ones to test, because their quality varies and they can be wrong in fluent-sounding ways.
• Prediction. Software that looks at patterns in records and flags a risk, such as a resident whose recorded fluid intake or mobility notes have shifted. This is the hardest to demo honestly, because a flag can look impressive without being useful. Ask for the false-alarm rate on communities of your size.

PointClickCare's senior living page is a fair example of how this reads. It promises "AI-powered workflows" that "surface decision-ready information" inside the record, then lists add-ons by name, among them Chart Advisor for Senior Living, Automated Care Messaging and Eligibility Verification, without saying which of them use AI or how. That is typical: the marketing line tells you AI exists somewhere in the product, and only the demo tells you where. Treat the line as an invitation to ask, not as an answer, and ask the salesperson to put each named add-on into one of the three bins above.

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How to run the demo so you see real behaviour

Send the vendor three things a week before: a list of the five tasks you want to see, a request for a sandbox with invented residents, and the names of the people attending. Then run it in this order.

1. Start from the task, not the menu. Say "show me how a care manager prepares a service-plan review for a resident who has fallen twice this month". Watch how many screens it takes.
2. Ask to see the AI feature on your own wording. Type a messy, abbreviated note ("pt unsteady am, refused shower x2, dtr called re meds") and watch what the summary or draft does with it. Polished sample data hides weaknesses.
3. Ask what the model was given. Does it read only that resident's record, or a wider set? Does it use the free-text notes, the structured fields, or both?
4. Ask where the output lands. Does AI text go into the record as a draft that a named staff member must approve, or straight into it? Approval trails matter for later disputes.
5. Ask what happens when it is wrong. The right answer describes edit history, a way to report bad output, and who at the vendor reviews those reports.

Resident records: the AI questions that matter most

The resident record is where an error costs the most, so test it hardest.

Drafting and summarising notes

A summary that reads well but drops one detail is the typical failure. In the sandbox, enter a week of invented notes in which one line matters: say, "declined evening meal Tuesday, Wednesday and Friday". Ask the tool for a summary and check whether it carries that pattern. If it says "ate adequately overall", you have found the risk without needing a statistic.

Ask too whether summaries cite the source notes, so a nurse can click from a sentence back to the entry it came from. A summary with no trail is hard to trust and hard to correct.

Care and service plans

Some products draft plan text from an assessment. Ask the vendor to run the same assessment twice and compare the two plans. Wide variation between runs suggests the staff will need to edit heavily. Ask who owns the final wording; the answer should be the licensed staff member who signs it.

Condition-change flags

If the product claims to predict decline, ask which data fields feed it, whether you can see why a resident was flagged, and what the vendor says about residents it misses. A flag with no explanation sends staff hunting. Ask for the alert volume you should expect for a community of your size, and who tunes the thresholds.

Billing and finance: where AI is usually modest

Billing is mostly rules: levels of care, rent, one-off charges, third-party payers. Genuine AI here is narrow. Ask whether the system can read an incoming invoice or a payer remittance, match it to a resident account, and flag a mismatch. Ask whether the tool can explain a charge in plain language for a family who disputes a bill. Both are real language-model uses; both need a human to check the sum before it goes out.

A quick test: give the vendor an invented resident who moved from standard to enhanced care mid-month with a respite stay in the middle, and ask the software to draft the family's statement. If the draft handles the proration and states the dates correctly, good. If staff must rebuild it by hand, the feature saves nothing.

Activities and engagement

Activity modules are where vendors often show the most polished AI, because the output is friendly text: a monthly calendar, a newsletter, an event description. It is also where mistakes cost least. Ask to see a calendar draft built from a list of your standing activities, and check that it respects room capacity, transport times and the residents with mobility needs. Ask whether it can personalise suggestions from the interests recorded in each profile, and whether that data stays inside your account.

Family portals and communications

Families ask the same few questions: how was Mum's week, when is the care review, what is on the menu, why did the bill change. A portal assistant that answers from the resident's own record would help, and it is also risky. Test it with three questions:

• A question the record answers ("What time is her hairdresser appointment?").
• A question the record cannot answer ("Is she happy here?"). The right behaviour is to say so and route to staff.
• A question from someone who is not an authorised contact. The right behaviour is a refusal, every time.

Ask who is allowed to see what, how the family-access list is enforced, and whether the assistant's replies are logged and reviewable.

Enquiries, tours and move-ins

The sales side is where AI is most mature. Ask for follow-up drafts after a tour, call summaries logged to the enquiry, and lead reminders when a family has gone quiet. Some sales tools now name their AI features precisely, which makes them easier to test. WelcomeHome, a senior living CRM, describes an AI Snapshot that pulls a prospect's key fields, life story and activity log into one view, and its mobile app logs calls with talk-to-text. Ask any vendor with a feature like that to run it on an invented enquiry with a messy activity log, then check whether the snapshot keeps a detail the daughter mentioned only once, such as a hearing aid, a cat or a preferred ground-floor room. If the vendor offers voice answering for after-hours calls, ask what it says when a caller describes an emergency. Our tutorial on enquiries, tours and family updates covers the process side of this.

A scoring sheet you can copy

Score each line 0 (not shown), 1 (shown but weak) or 2 (shown and solid). Weight each task by how much time your staff spend on it. Here is a filled-in example for an illustrative 60-resident community comparing two vendors.

Multiply score by weight: Vendor A gets 6 + 3 + 4 + 0 + 2 + 4 = 19; Vendor B gets 3 + 6 + 0 + 2 + 2 + 2 = 15. The sheet does not decide for you, but it shows where each vendor is weak and stops a charming demo from outvoting an uncharming one. A zero on the family question for Vendor B is worth a follow-up: if it answers from nowhere, that is a safety issue, not a missing feature.

Questions to ask about data, whatever the feature

Put these to every vendor, in writing, after the demo:

1. Which AI model provider processes our data, and is a signed business associate agreement or equivalent in place with that provider?
2. Is resident data used to train any model? Is that opt-out or opt-in, and is it in the contract rather than a settings page?
3. How long are prompts, drafts and any audio kept, and can we delete them?
4. Can we turn each AI feature off per user, per building, or entirely?
5. If we leave, what do we get back and in what format?

Vendors change defaults. One note-taking product for therapists changed its default on 17 June 2026, so that clinicians switching it on from that date keep de-identified transcripts unless they opt out, which shows why the answer belongs in the contract and not in a settings screen. Our AI scribe security questions tutorial goes deeper on audio, retention and BAA wording.

Three demo moments that signal trouble

The pre-loaded screen. The salesperson clicks straight to a perfect summary. Ask them to create a new resident and start again. If the feature needs fifteen minutes of setup first, you have learned what onboarding will cost.

"It learns your community." Ask what that means in practice. Sometimes it means a model tuned on your data, which raises the training question above. Sometimes it means nothing more than saved templates.

The price that appears later. A realistic mistake: a community signs for a platform because the AI summaries were included "for now", then finds a per-resident, per-month charge at renewal. The contract wording to look for is any phrase such as "introductory" or "at current availability" next to an AI feature.

Run a four-week pilot on one task

Pick the task with the clearest time cost. Suppose the care manager spends about 25 minutes per resident preparing a quarterly review, and the community has 60 residents. That is 25 hours a quarter. If a pilot on one wing of 15 residents cuts the preparation to 15 minutes, the saving on the wing is 150 minutes a quarter, or 600 minutes across the community. Treat the numbers as a worked illustration: measure your own before and after with a stopwatch for two weeks, and include the time staff spend correcting AI output, because that is the number vendors rarely mention.

Set a stop rule before you start. For example: if more than one in ten drafts contains an error that would have reached a resident's record or a family, pause and call the vendor. Write the rule down and share it with the staff using the tool so they know they can say it is not working.

What to tell residents and families

If the software drafts anything a family will read, say so plainly and early. A short paragraph in the move-in pack works: "We use software that can draft summaries and messages. A member of staff reads and approves each one before it is added to a record or sent to you." Our tutorial on rolling out an AI scribe has wording for the conversation, and the same ideas carry across.

A prompt to prepare your demo questions

If you want help writing questions for your specific community, paste this into a general chat assistant, using invented details only and never real resident information:

I run an assisted living community with 60 residents and a care manager,
an administrator and two part-time billing staff. We are demoing resident
record software next week. Write 12 demo questions that test whether the
AI features are real and safe, grouped under: resident notes, service
plans, billing, family communication and data handling. For each question,
add what a good answer sounds like and what a worrying answer sounds like.

The output will be a decent first draft, but it will be generic. Cut the questions that do not match your tasks, and add two of your own from the last month, such as a family complaint or a late billing correction. Those are the questions only you can write. If you would rather build the shortlist with someone, that is what my AI implementation consultation covers.

A family message, before and after the AI draft

Here is an illustrative test to run during the demo on the family-communication feature. Give the tool these invented bullet points from a care assistant: "Fell in corridor 2pm, no injury seen, nurse checked, family not yet told, walking frame was in room".

A weak draft reads: "Your relative had a minor incident today but is fine." It leaves out the time, the check by a nurse, and the walking frame detail that the family will ask about, and it declares the resident "fine" when the notes only say no injury was seen. A better draft states the time, says a nurse assessed the resident, says no injury was found at the time, mentions that the walking frame was not with her, and says what staff will do next and when the family will hear again. Count how many facts survive from the bullets to the message, and how many claims appear that were never in the bullets. Zero invented claims is the bar.

Check it worked: a monthly review in 30 minutes

Once a feature is live, put a standing half-hour in the diary each month for the first quarter. Pull ten AI-drafted items at random: five notes or summaries, three family messages, two billing explanations. For each one, mark it as sent unchanged, edited lightly, or rewritten. Then tally. If most are sent unchanged and none contained an error, the feature has earned its place. If most are rewritten, you are paying for a draft that costs more to fix than to write, and the renewal conversation should reflect that.

Keep the tally in a simple sheet with the date, the staff member and the feature. After three months you will have a short record you can show the vendor, an inspector or your own board, and it makes the renewal decision a matter of numbers rather than impressions.

Staff questions that decide whether the tool gets used

A feature nobody uses saves nothing. Ask the vendor how long onboarding takes for a night-shift carer who has never used the software, and whether the AI features work on the tablets and phones your staff actually carry. Ask whether the tool can be used by voice, since many care staff type slowly on a shared device mid-shift. And ask two of your own staff to try the sandbox for ten minutes each without help. Where they hesitate is where adoption will fail, whatever the brochure says.

Three emails to send within 48 hours of the demo

Write to each vendor separately. First, a list of the questions they could not answer live, asking for written replies by a set date. Second, a request for the AI feature price schedule and renewal terms. Third, a request for two references from communities of similar size who have used the AI features for at least six months, plus permission to ask them what broke. Vendors who reply quickly and specifically are showing you what support will look like.

Compare the replies against the scoring sheet before you talk to your board or owner. If two vendors score within a few points of each other, let the data answers decide: the one that signs clear terms on training, retention and exit usually deserves the contract.

It is also worth checking what AI your current platform already includes before you switch. Our tutorial on questions to ask before buying AI for a medical practice has a parallel list for clinical settings, and much of it applies to senior living platforms too.

Questions operators ask after the demo

Should I pay extra for AI in assisted living software?

Only if you can name the task it removes and the hours it saves. Ask whether the AI feature is included, metered or a paid add-on, and get the price in writing. If a feature is free for the first year, ask what the renewal price becomes.

Can a vendor demo use real resident data?

Insist on a demo with invented residents. Real records should not appear on a screen share, and a vendor who offers to import yours before a contract is signed is a warning sign. Ask for a sandbox login to test with made-up names.

Who should attend the demo?

Bring the person who writes care plans, the person who does billing, and whoever answers family calls. Each will spot different gaps. A director alone sees the dashboard; the people doing the work see where the clicks pile up.

How long should an AI pilot run?

Four to six weeks on one wing or one task is enough to compare time spent before and after. Agree the success measure on day one, such as minutes per care-plan review, and agree what happens to the data if you stop.

Further reads

• Use the AI Already in Your Practice Software Before Buying More — Check the AI you already have before buying more.
• A Worked AI Implementation Plan for a Small Medical Practice — A step-by-step plan for rolling AI out in a care setting.
• Is an AI Scribe Worth It for a Small Private Clinic? — A cost-and-time test you can adapt for care notes.
• Assisted Living Marketing Ideas: Eight Campaigns to Draft With AI — Campaign ideas once the sales side is sorted.
• HIPAA-Compliant AI Receptionist: A BAA and Retention Checklist — BAA and retention checks for any voice-answering feature.
• Supported Living Software: Rotas, Support Plans and Where AI Fits — A plain guide to supported living software: rotas, support plans, daily notes, incident logs, and the jobs where AI adds value and where it should not.
• AI Tools and AI Development: The Complete 2026 Guide — the AI hub, including every tutorial in the AI-for-business series.

Sources: PointClickCare senior living page, WelcomeHome features page and SimplePractice transcript retention FAQ (all read 4 November 2026); demo practice described generally. Feature availability changes often, so confirm each item with the vendor in writing.