Druid AI

You can make almost any AI pilot look good, depending on what you measure it against.

Before deployment, know the cost per interaction, handling time, error rate and escalation rate of the workflow you want to automate. Then count the costs that continue after go-live.

Otherwise, you have a promising percentage, but not a business case.

Understand more about AI agents and ROI here: https://hubs.ly/Q04xG0dg0

54% of engaged healthcare AI interactions happen through voice.

That says something practical about patient access. Patients still call when they need to book, reschedule, confirm, ask coverage questions or get reassurance in the moment. In healthcare, the phone is not a legacy channel you can plan around later.

But chat is close behind at 46%, which means healthcare AI cannot be built as separate channel projects. Voice and chat need the same knowledge, business rules, integrations and escalation logic behind them.

The priority is building one governed service layer that can resolve patient access work wherever the conversation starts.

Download the 2026 Healthcare AI Adoption Benchmark: https://hubs.ly/Q04xfKD10

39% of higher education AI interactions take place outside standard office hours.
That is the window where retention risk often starts to build. It could be a financial aid question that goes unanswered, a registration issue that waits until the next morning or an admitted student that misses the next step because support was not available when they were ready to act.

AI Agents help universities cover that gap by answering common student questions, logging after-hours cases, routing complex issues to the right team and preserving context for advisors when a human needs to step in.

Student retention doesn't depend only on the big intervention. It also depends on whether the small questions are answered before they become reasons to disengage.

Read the full article here: https://hubs.ly/Q04xfz3w0

At South Georgia Public University, students and prospective applicants were struggling to find answers quickly, even when the information already existed.

Some questions were buried across website content and support channels. Others came in after business hours and waited until the next day, slowing momentum for prospects and leaving current students without timely guidance.

The university launched a Druid AI Agent as a central hub for student questions. It crawls and indexes public website FAQs, keeps the knowledge base up to date, routes inquiries by intent to teams like admissions, financial aid and registration, and logs after-hours cases with email follow-up.

The first value came from reducing friction in information gathering. The longer-term value is a foundation the university can expand into deeper student support through future integrations with systems such as Slate CRM and the Banner API.

Read the full case study here: https://hubs.ly/Q04x2Lbl0

Did you notice how an insurance claim starts when the customer least wants to wait?

For the top European insurer in this case study, claims notification was limited by business hours, manual intake and legacy systems. During nights, weekends or severe weather spikes, customers waited while teams later fixed missing details and back-and-forth clarifications.

Druid AI Agents are built for that kind of front-door workflow. They can make claims notification available 24/7, validate policies in real time, capture the right information and connect securely with core insurance systems.

Speed only helps when the file is complete enough to act on. Automating FNOL gives customers a faster way to report the incident and gives claims teams cleaner information from the start.

Read the full case study: https://hubs.ly/Q04x2Js60

Some patients still pick up the phone. Because a call can feel like the fastest way to reschedule an appointment, check insurance, ask about lab results or confirm the next step.

The problem starts when every call waits for staff. Simple requests enter the same queue as complex cases, and patient access teams spend the day answering the same operational questions while the patients who need human help wait longer.

Druid AI voice agents for healthcare are built for that front door. Nova can hold a natural voice conversation, understand the request, authenticate the patient, navigate the right healthcare workflow and update the record, with support for multilingual conversations and enterprise healthcare controls.

The goal is not to make the phone disappear, but to make inbound voice a working access channel again, without hold music, repeat calls or a queue that grows faster than your people can answer.

Try the healthcare voice agent: https://hubs.ly/Q04wWXzv0

An admissions question that comes in after 5 PM isn't automatically a low-priority one.

It may be the moment an admitted student is trying to understand their next step, check an application status, confirm a financial aid detail or decide whether your institution still feels responsive enough to choose.

Admissions offices lose ground here no matter how hard they're working, because students don't ask questions on an office-hours schedule.

Druid AI Agents help cover that gap. They can answer from approved admissions knowledge, connect to systems like Slate, Banner or PeopleSoft, route the inquiry to the right team and log after-hours cases so the next morning starts with context instead of a cold inbox.

Read the full article: https://hubs.ly/Q04vZ1HC0