Multi-agent AI systems, built for healthcare.
Doctelligence builds teams of specialised AI agents for every stage of care, from first contact to follow-up, so physicians can focus on patients and care is delivered better. We are starting where care begins: pre-consultation in family medicine.
Diagram: six stages of care, from pre-consultation to audit and quality, converge on the health system. Pre-consultation is where Doctelligence starts.
AI that enables physicians and improves how health systems run.
Doctelligence builds multi-agent systems that support physicians before, during and after the visit or stay. They take on the gathering, checking, documenting and coordinating that consume physician time, easing burnout and improving service, financial efficiency and patient outcomes.
Each purpose gets its own architecture.
Specialised agents
Each agent has one job, rather than one model doing everything. Agents check each other's work before anything leaves the system.
Safety-gated
Dedicated safety agents run throughout, independently of the agents that reason, and gate what is released.
Tuned to the setting
Guidelines, formularies, coding and privacy rules differ by country and clinic. Each system is tuned to where it runs.
Physician in the loop
Where a system supports clinical decisions, a physician stays in the loop for safety and review. Routine and administrative systems need not.
Our first system: pre-consultation for family medicine.
Specialised agents prepare the visit before it begins. The physician starts the consultation with the history already taken, organised and safety-checked.
- Scope checkFrom the first message: within family medicine scope. No treatment instruction issued.
- Red-flag screenAfter every answer: no red-flag symptoms reported.
- Medication checkWhen medication is mentioned: flagged for physician. Lisinopril can cause a persistent dry cough.
- Quality gateBefore anything is released: record complete and consistent with the conversation.
Thresholds, guidelines and escalation pathways are set for the locality and jurisdiction of each deployment.
- Presenting complaint
- Dry cough, 10 days
- Pattern
- Worse at night
- Associated symptoms
- No fever, no breathlessness, no haemoptysis
- Medication
- Lisinopril, started August
- Relevant history
- Hypertension
For the physician to confirm.
Summary
54-year-old with a 10-day dry cough, worse at night. No fever, breathlessness or haemoptysis. Hypertension, on lisinopril since August.
For your consideration
- ACE inhibitor–related cough Medication flag
- Post-viral cough
- Cough-variant asthma
- Reflux-related cough
Suggested workup
Chest examination. Review antihypertensive. Consider spirometry if the cough persists.
Decision support, not a clinical instruction.
What it changes in a family practice.
Time back
Designed to cut time per patient by 30–50%, so a practice can see more patients and see them well.
A lighter consultation
History, urgency and considerations are ready before the patient sits down, so attention stays on the patient.
Accuracy and consideration
A structured history and prepared considerations help keep important details from being missed.
Straight into the record
A note arrives ready to merge into the EHR.
Pre-consultation is where we start.
Care runs through a series of moments where structured AI reasoning can support physicians and health systems. Each moment can hold several systems. We build them one at a time, to the same standard.
Pre-consultation
Everything from first contact to the consultation.
- Triage and routing
- Pre-visit planning
- Pre-consultation: family medicineOur first system
- Pre-consultation: cross-specialty
Point-of-care support
Decision support in consultations and inpatient stays.
Documentation and coordination
Notes, coding, orders, referrals and handoffs, ready to merge into the record.
Follow-up
Results and monitoring between visits and after discharge.
Audit and quality
Review of care quality and performance.
The expertise this problem requires.
A clinical system is only as dependable as the weakest discipline behind it. Every Doctelligence system is designed, built and governed with all of these from the first decision.
Clinical medicine
Defines what a consultation needs, where scope ends, and when a physician must be involved.
AI and reasoning
Designs agents that reason over clinical information and check one another's work.
Safety and governance
Builds safety gating into every system, with physician oversight where clinical review is needed.
Clinical workflow
Fits each system into how clinics actually run, removing steps rather than adding them.
Human factors
Shapes what patients and physicians see so output is clear, checkable and easy to correct.
Systems and health data
Connects to the records, coding standards and privacy rules of each setting.
The question is not whether AI replaces the physician. It is what becomes possible when they work as one system.
Medical doctor with a master's in applied AI for diagnostics and a PhD in computer science, specialising in health systems and data utilisation.
Deployed with the organisations that run care.
We design, install and deploy multi-agent systems with the practices, platforms and software that deliver care. Each is safety-gated and configured for your setting, jurisdiction and systems.
Health systems
Improve capacity, service and financial performance, with clinical validation and deployment alongside you.
Practices and clinics
More patients seen well, less time per patient and lighter days for physicians, installed to fit your workflow.
Telemedicine platforms
Bring multi-agent clinical reasoning into your telemedicine or digital health product, and prepare remote consultations before they begin.
EHR and health IT
Embed our systems so structured notes and data flow straight into the record.
See pre-consultation in action.
Book a walkthrough of our first system, or tell us where else in the care journey you need one.