Automation library
Stop repeating. Start automating.
AI automation connects the tools you already use and adds AI where a step needs reading, writing or judgement, so repetitive work runs on its own. This library shows the workflows DAIDU builds, by team and by industry, with the steps and tools behind each one.
Flagship workflow — Abandoned Cart Recovery
A shopper leaves checkout without completing payment.
Click any step to inspect itOpen this recipe
By industry
Automations for Healthcare
5 workflows · AI for Healthcare
Operations
Healthcare Appointment Reminders
Sends patients personalised appointment reminders by SMS, WhatsApp or email before their visit, lets them confirm, cancel or reschedule by reply, and updates the clinic schedule.
- Appointment booked
- Send reminder
- Capture response
- Update schedule
Finance
Healthcare Insurance Claims
Assembles insurance claims from treatment and billing records, checks them against insurer rules, submits them electronically and tracks status, flagging rejections for correction.
- Treatment completed
- Assemble claim
- Validate claim
- Submit electronically
Customer Service
Patient Feedback Collection
Sends patients a short survey after appointments or procedures, analyses feedback and sentiment, and flags concerns to the practice manager for follow-up.
- Visit completed
- Send survey
- Analyse feedback
- Flag concerns
Customer Service
Patient Onboarding
Sends new patients digital registration and consent forms before their visit, verifies ID and insurance details, syncs data to the clinic system and confirms appointment instructions.
- Appointment booked
- Send digital forms
- Verify documents
- Sync to EHR
Operations
Prescription Renewal Reminders
Tracks prescription and refill dates and reminds patients before their medication runs out, with a simple way to request a renewal or delivery from the pharmacy or clinic.
- Refill date approaches
- Send reminder
- Patient requests renewal
- Clinician or pharmacist reviews
How DAIDU delivers
From one workflow to a working system
- 01
Discover
We map how the work happens today with the people who do it, and pick the first one to three workflows worth automating.
- 02
Design
A short specification: trigger, steps, systems, AI prompts, approval points and error handling. You sign it off before we build.
- 03
Build
We connect your existing tools and suitable AI models, then test with real examples, including the awkward ones.
- 04
Run
Staged launch, monitoring and alerts, and close attention in the first weeks so issues are fixed quickly.
- 05
Train
Your team learns how it works, how to handle exceptions and how to make simple changes themselves.
Consultation
Not sure which workflow to start with?
- A 30-minute call with someone who builds automations
- We look at one process you repeat every week
- You leave with a clear next step, whether or not you work with us
Replies within working hours