Ask us the same questions

This is a procurement checklist written for people who run senior-care facilities, and it is one of the more useful things a family could read this month. Six questions before you buy any AI tool. What problem are we solving. Does it integrate with what we already have. Will staff actually use it every day. Can the vendor demonstrate measurable outcomes. How will success be measured. Who reviews the AI's recommendations and protects resident data.

The line that earns the piece: some tools deliver measurable improvements, and others simply add another login, another expense and another layer of complexity. Anyone who has watched a family drown in portals knows which outcome is more common.

One question in there is genuinely expert and almost nobody thinks to ask it. Ask whether the AI was trained and validated on data from long-term care settings rather than acute-care hospitals. A model taught on hospital patients is not describing the person in the memory-care wing, and a family touring a facility can ask that out loud.

Then it turns the checklist around and points it at families, which is the part we would underline. Ask how AI is being used. Ask how information is protected. Ask whether the technology improves communication and safety without reducing personal contact.

We build software for caregivers, so the honest thing to say is that this list applies to us. Ask what problem Tugboat solves. Ask whether it was built around the caregiver's actual week or around a demo. Ask who reads what you type. A company that flinches at its own buyer's checklist is telling you something, and the standard the piece sets is the right one: technology should reduce a caregiver's workload, never add to it, and never replace the judgment of the person doing the work.