Appointment coordination agent
Books, moves and confirms appointments across calendars and sends preparation instructions.
People approveClinical staff approve anything that touches care or urgency.
AI agents for healthcare and life sciences.
Scheduling, documents and quality records, with clinicians in control.
Agents and data platforms for providers, labs and life sciences companies, built into the clinical, quality and scheduling systems already in place, with people approving what matters.
- 01Admin takes clinical time
Scheduling, forms and follow-ups take hours that clinicians and lab teams would rather spend on care and science.
- 02Quality records pile up
Every batch, trial and inspection produces documents that must be complete, checked and traceable.
- 03Rules change by market
Labels, claims and procedures must match the rules of each country before anything ships.
Where AI pays back first
Agents across care and research.
The agents Twistag builds most often for healthcare and life sciences, from scheduling to compliance. Each one keeps a qualified person on the decisions that matter.
01 · Schedule
Appointments and preparation.02 · Staff
Rotas across sites and shifts.Staffing planner
Forecasts demand by site and day and builds rotas that move people between locations before agencies are booked.
People approveManagers approve each weekly plan and any agency booking.
03 · Document
Forms, referrals and records.Document intake agent
Reads forms, emails and scans, extracts the fields that matter and files them in the right system.
People approveStaff review fields the agent is unsure of.
04 · Quality
Batches, inspections and drift.Quality report agent
Pulls inspection data into batch reports, spots drift early and links each finding to the procedure behind it.
People approveQuality managers release every batch.
05 · Comply
Labels, claims and policy.Regulatory check agent
Checks products, labels or communications against the rules of each market, citing the regulation behind each finding.
People approveA regulatory specialist signs off each market.
Policy question agent
Answers staff questions on internal policy and regulation from approved sources only.
People approveCompliance owns the source library and reviews flagged answers.
06 · Answer
Patient and partner questions.Reply drafting agent
Classifies each message, pulls up the account and drafts a reply in the house voice, checked against written guidelines.
People approveAn advisor approves or edits every reply before it goes out.
Proof
All healthcare case studies Healthcare work.
Three steps from question to daily use.
- 01Find where it pays back2–4 weeks · from €5,000
Map the operation from scheduling to compliance, score each process on value, effort and risk, and leave with a shortlist and a 90-day plan.
AI Readiness Sprint - 02Build the first agent6–12 weeks
One agent on real data, connected to the scheduling, document, quality or ERP systems already in place, with people approving each action.
Multi-agent Systems & Agent Engineering - 03Scale and governOngoing
More agents on one platform, each with its own access rights, EU AI Act risk class and audit log.
Agent Governance & Security
Questions
About AI in healthcare.
Which processes should get an agent first?
Administrative ones that repeat every day and are easy to check: appointment coordination, document intake and quality reports are common first choices. The AI Readiness Sprint ranks them for the specific organisation.
Which systems do the agents connect to?
The ones already in place: scheduling and patient administration, document management, quality management (QMS), LIMS, ERP and helpdesk. Agents connect through APIs or exports, so nothing needs replacing to start.
How long until the first agent runs every day?
Six to twelve weeks from scoping, on real data, with people approving each action until the results hold.
How is health data protected?
Health data is special-category data under GDPR. It stays in the organisation’s own cloud or data centre, each agent has its own access rights, and every action is logged.
How does the EU AI Act apply in healthcare?
Each agent gets a risk classification before it goes live, with the controls that class needs. Administrative agents are usually limited risk. Anything that informs diagnosis or treatment can fall under medical device rules and high risk, and is scoped with the regulatory team from day one.
Who owns what is built?
The client owns everything: code, prompts, data pipelines and documentation, handed over in full.
Talk to us
Let’s talk.
Tell us about the company and what it needs. A senior lead takes it from there.
A senior lead replies within one working day.
