Clinicians buried in admin
Medical reports, appointments, billing: admin spills over into care time.
Your practitioners' time goes into paperwork, not into patient care.
AI that works for your healthcare teams.
Reception, admin, patient follow-up: your teams refocus on care, in full GDPR compliance.
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The problem
AI seems to be everywhere. The value, nowhere.
The POC graveyard
You launch, prove, then give up for lack of a method to scale.
Dozens of hours invested in pilots that never reach daily work.
An individual ChatGPT, zero compounding
Shadow AI: without a framework or integration, everyone tinkers on their own.
Some save time, but the company sees neither ROI nor a collective advantage.
95%
of custom enterprise GenAI tools fail to reach production (MIT NANDA, 2025).
75%
of executives rank AI in their top 3 strategic priorities (BCG, 2025).
Use cases
AI across your healthcare processes.
From patient intake to activity monitoring, every step runs more smoothly, with health data protected. We break down the AI use cases that hold up in production in healthcare.
Document assistant for practitioners
- Unified access to protocols, guidelines and references
- Instant answers on procedures, coding and nomenclatures
- Reduced research time
Administrative automation
- Draft medical reports, signed off by the practitioner
- Processing of reimbursement and billing files
- Structuring of patient data (GDPR / HDS compliant)
Reception and appointment booking
- Booking and pre-qualification agents
- 24/7 answers to administrative questions
- Fewer calls and missed appointments
GDPR and health-data compliance
- Selection of HDS-certified tools and hosting
- Traceability and security of patient data
- Healthcare regulatory watch, including the AI Act
Patient follow-up and engagement
- Personalized appointment and treatment reminders
- Post-visit instructions sent out, as approved by the practitioner
- Automated satisfaction surveys
Activity monitoring
- Activity and billing dashboards
- Performance summaries by practitioner or center
- Pre-filled regulatory reporting
How we help
Five ways to move forward, in the order that suits you.
FrameDeploy
- Enablement Bring leaders and teams on board: what AI concretely changes for your business, with demos and real cases.
- AI Audit Process mapping, data analysis, top 5 costed use cases with ROI per case. A roadmap you can defend.
- AI Training Your teams get hands-on with Claude, ChatGPT or Microsoft Copilot, wired into your tools, your data and your procedures.
- AI Automation Agents that run your high-volume processes: inbound handling, enrichment, reporting.
- AI ops product When off-the-shelf no longer cuts it: bespoke business apps, built on your data, that you own.
A proprietary method, accelerated by our tech.
Our internal tools map in days what traditional firms take weeks to audit.
Broader scope, execution in the field, delivery twice as fast.
Accelerated immersion
Our stack maps your processes and surfaces use cases. Your teams prioritize the highest-ROI levers with us.
Pilot on your data
Fast POCs tested on your real data, your processes and your teams' expertise. We co-build, never in a silo.
Scale without lock-in
Playbooks, training and evaluation tools: your teams stay in control. Continuous monitoring improves the deployment month after month.
Where to start?
30 minutes to identify your highest-impact use cases. No commitment.
Book a callThey say it better than we do
All solutions were live in less than six weeks. Quick wins galvanized the whole team. Dust was deployed at scale with structured onboarding (templates, best practices, use cases by function) and seamless integration in our tools. Tandem also supports our portfolio companies in identifying high-ROI levers and industrializing automations.
Éléonore Breton
Operating Partner, Newfund
White paper
Everything AI can do in healthcare.
A complete guide, reserved for industry professionals. Leave your email and we'll send it over.
✦Use cases by function, concrete and costed
✦The ROI observed at the companies we work with
✦Our deployment method, explained step by step
The questions we get.
What happens to our data?
An NDA before any exchange. Your data is never used to train models: isolated environments, enterprise-grade solutions (ChatGPT Enterprise, Claude, Dust, M365), EU hosting available and compliance with your industry's rules (GDPR, HDS in healthcare, DORA in finance).
How do you integrate with our tools?
We plug into what exists: Microsoft or Google suite, CRM, ERP, business tools. No rip-and-replace: agents slot into your current processes.
How long before the first results?
We frame the first use cases, then deploy in short iterations. At Newfund, every solution was live in under six weeks.
How is ROI measured?
Case by case, before deployment. Every use case on the roadmap from our AI audit is costed: implementation cost, expected net gains, ROI and payback. You decide on numbers.
Who works on the engagement?
A dedicated squad with a mission lead, an AI builder (agent design and integration) and an AI trainer (adoption and team training). The mix adapts to the scope.
Can AI be used with health data?
Yes, within a strict framework: HDS-certified hosting for any health data entrusted to a third party, no model training on your data, and practitioner sign-off on any medical content. At Médident, the audit first mapped the patient journey across 22 dental centers.