Healthcare operations first
AI operating systems for regulated operations.
Agensio builds agent-led operating systems for work where privacy, roles, documentation and accountability are part of the product. Our first field is healthcare operations.
Good morning, practice team
Make today controllable
81% Compliance
Mira next action
Check team status and prepare handover
Lead MFA
Signal
CIRS follow-up ready
Outcome
Task, decision, audit trail
The story
From hidden coordination work to accountable execution.
Agensio starts with work that is too important to be informal and too repetitive to stay manual. Medical practices are the first wedge because admin load, quality management, patient work, privacy, finance and owner decisions collide every week.
The pain is not missing software. It is unmanaged work.
They need work to move: tasks prepared, context found, follow-ups owned and documentation kept traceable without adding another coordination layer.
Medical practices make work reduction measurable.
Staffing pressure, QM, patient requests, scheduling, privacy and financial steering all show up in the same small team. That creates a real operating test.
Praxis OS starts as the daily operating core.
Start with the daily backoffice surface, then connect finance and patient experience modules only where they make the practice day easier to control.
Service-as-software prices the outcome, not the seat.
The ambition is not more seats. It is repeatable agent-led execution for regulated operations, with human control and traceability built in.
Documentation, delegation and follow-up become the product surface, not a side effect.
A finance signal, CIRS incident or patient request has owner, next step, record and review path.
Backoffice is the execution layer. Finance and patient experience add the signals that matter.
Explore Agensio Health
Understand the healthcare product family: Praxis OS, PraxisFinanz, PraxisDigital and the agent roles behind them.
Open Health verticalOpen Praxis OS
For doctors and practice teams who want the concrete product, workflows and demo.
Open product site
Product route
Company → Health vertical → Praxis OS → Demo → protected staging
One route from thesis to live workflow testing, without mixing investor story and practice product UX.
01
Health layer
Modules and agent roles
02
Product site
Practice owner story
03
Public demo
Open product surface
04
Protected staging
End-to-end workflows
Platform
A work engine for regulated teams.
Each agent works inside rights, responsibilities and escalation boundaries.
Every task keeps its source, owner, decision, handover and next step visible.
Agents prepare and connect work; sensitive actions stay reviewable and accountable.
First market
Medical practices are our first operating environment.
Healthcare is our first market because the operational load is real: staffing pressure, documentation, quality management, knowledge, scheduling, privacy, patient communication and financial steering all collide.
Praxis OS by Agensio
The product for practice teams: tasks, quality management, knowledge, training, shifts, CIRS, AAA and privacy in a calm operating surface.
Open Praxis OSAgensio Health
The product family behind Praxis OS, PraxisFinanz and PraxisDigital, with Mira, Aris and Lina as specialized agent roles.
Open Health verticalRepeatable agent architecture
One vertical, one core product, clearly scoped agents and modules: an architecture for regulated operational markets.
Talk to usPilot status
Live context, active pilot work and clear next tests.
Agensio does not claim the finished platform is already broadly validated. The status is more specific: Praxis OS is being shaped in real practice context, with concrete workflows, named clinical operators and a pilot wave that can test whether the service-as-software model reduces actual backoffice work.
First practice environment for backoffice, QM, CIRS and team workflow testing.
Named follow-on conversations create a structured path beyond one internal context.
The first tests focus on real administrative load, not abstract AI demos.
Praxis OS exists as the live product surface and is being tested around real practice workflows.
Which workflows reliably reduce owner and MFA coordination load without losing human control.
Pilot onboarding, weekly usage patterns, resolved tasks, CIRS follow-through and module expansion signals.
No broad validation claim yet. The goal is to earn it through structured pilots and measurable work reduction.
Proof & trust
Trust is designed into the workflow, not added in a sales deck.
Agensio is early, so the proof has to stay honest: live practice context, named next tests, privacy-aware workflows and human review where decisions matter.
Praxis OS is shaped around tasks, QM, CIRS, handovers and owner questions in medical-practice context.
Accountability, approvals and audit trails keep sensitive work reviewable before it becomes execution.
Weekly pilots should compare planned work, resolved items, reopens and coordination load against actual practice rhythm.
The next proof is repeatable onboarding and measured relief across more practice workflows.
What we measure next
Measure work reduced against practice actuals.
The next milestone is not a prettier demo. It is a measurement loop that shows whether Praxis OS reduces real coordination work for owners, MFAs and the team.
Planned work vs. actual completion.
Count tasks only when they are closed with owner, due date and source attached. Compare planned tasks, completed tasks, overdue items and reopened items each week.
Actuals: weekly meeting log, task audit trail, manual follow-up notes.Incident to next step, not just incident captured.
Track new CIRS reports, comments, assigned measures, completion time and whether the record or QM content was updated afterwards.
Actuals: CIRS inbox, QM record update, team weekly review.How much owner coordination gets removed.
Measure repeated owner questions, unresolved decisions, escalations and how many work items can be prepared before the owner has to step in.
Actuals: owner review notes, open questions, decision log.Whether the team uses it inside the real week.
Watch weekly active staff, completed checklists, shift handovers, training steps and mobile usage during actual practice routines.
Actuals: attendance, shift plan, training log, mobile events.Whether numbers become operational action.
In module pilots, track financial signals that create tasks: material cost spikes, billing opportunities, deadline risks and owner-review actions.
Actuals: finance snapshot, generated task, closed follow-up.Which module earns its place in the bundle.
A module is useful only when it touches real work: fewer handovers, faster decisions, fewer missed items or clearer patient/team communication.
Actuals: pilot scope, usage rhythm, before/after workflow review.Investor story
Service-as-software for regulated work, starting where pain is measurable.
Agensio turns recurring administrative work into role-aware agent workflows. The first wedge is medical practice operations: high labor pressure, repeatable backoffice tasks, strong compliance needs and an urgent willingness to pay for relief.
Open investor storyTasks, QM, knowledge, training, CIRS, privacy and owner-copilot workflows create the operational system of record.
Once the operating core is trusted, Aris and Lina extend the same workflow layer into controlling and patient requests.
The goal is service budget with software margins: measurable admin relief, controlled by humans, delivered by agents.
About us
We build the AI workforce for medical practices.
Our starting point is close to the work: a live family-practice pilot, practice advisors inside the operating context and a product stack built around real administrative load, not abstract AI demos. The business model follows a service-as-software thesis: practices pay for work reduced, not just seats added.
The operating culture is simple: high agency, high urgency, build in public and trust the process, with privacy and human control built into the product.
Service-as-software for practice backoffice.
We are not selling another seat-based tool. We turn recurring administrative work into agent-led workflows and aim to capture service budget with software margins.
€6B annual DACH backoffice opportunity.
Around 100,000 DACH practices spend roughly €60k per year on backoffice work: a €6B annual operations pool. Even small reductions in admin time create a large software-enabled services opportunity.
Healthcare-specific operations.
Privacy, professional secrecy, auditability, GoBD, KBV/EBM context, hygiene standards, roles and integrations are product requirements.
Operating insight
From live pilot to service-grade AI workforce.
GZA Hausärzte Dormagen is the first live pilot context, with additional physician advisors shaping the next pilot wave. The roadmap evolves from copilot workflows into service-grade AI support for owner questions, backoffice execution, patient triage, quality management and financial steering.
DACH opportunity · 100k practices
Business model · pay for work reduced
Agent quality · role-aware workflows
Customer success · pilot onboarding
Compliance · privacy, audit, documentation
Careers
Join early where product, customer value and revenue meet.
We are building the first operating system layer for medical practices. The first hires sit close to real practice work: onboarding, workflow automation, product engineering, revenue signals and the repeatable playbook behind every pilot.
Founding technical role
30 days
60 days
90 days
Founding Product Engineer & Agentic Lead
Own the core product and agentic engineering layer behind Praxis OS and Agensio Health. Your mission is to ship production-grade workflows, build reliable AI agent patterns and turn practice operations into software that actually does the work.
Understand Praxis OS, ship visible UX improvements and map the first agent workflow end to end.
Own one production workflow from interface to backend, evaluation and deployment hygiene.
Set the engineering pattern for Mira, Aris and Lina: reliable, observable and easy to extend.
Ownership
- Ship the product surface, backend workflows and agent integrations.
- Build reliable patterns for Mira, Aris, Lina and future agent roles.
- Turn complex practice workflows into calm, usable software.
- Keep quality high while moving fast across pilots and production.
Profile
Talk about this role
Product-minded full-stack engineer with real production scars, strong taste for UX and deep curiosity for agentic development. You can prototype fast, debug calmly and own the technical path from idea to live system.
Best fit: someone who wants founder-level ownership without needing a perfect spec.
Founding team role
30 days
60 days
90 days
Founding Revenue Operations & Customer Automation Lead
Own the bridge between customer success, practice data, workflow automation and revenue management. Your mission is to turn first pilots into a repeatable operating machine: clean onboarding, clear CRM, measurable automation value and expansion signals we can trust.
Build the pilot tracker, clean the CRM and document every active practice conversation.
Turn onboarding, support patterns and revenue signals into a repeatable operating cadence.
Own the first customer success dashboard: activation, expansion, churn risk and automation value.
Ownership
- Bring early practices live and keep them successful.
- Translate support patterns into automations and product tickets.
- Maintain CRM hygiene, follow-ups, offers and renewal signals.
- Build the customer automation and revenue playbook from the first pilots.
Profile
Talk about this role
Hands-on operator, comfortable with customers, structured data, automation tools and commercial follow-through. Healthcare context is helpful; ownership and execution speed are non-negotiable.
Best fit: a calm operator who can talk to customers, clean data and close the loop commercially.
Internship · from August
30 days
60 days
90 days
Founder’s Associate Intern
Work directly with the founders on pilots, business development, hiring, investor preparation and operating cadence. This is a high-ownership gap-year internship for someone after a strong bachelor who wants to learn how an early AI company is built from the inside.
Own clean notes, target lists, follow-ups and one weekly founder operating rhythm.
Support pilot outreach, candidate sourcing and investor materials with crisp written output.
Run one founder-office workstream independently: recruiting, BD, pilot ops or investor prep.
Ownership
- Prepare target lists, outreach, CRM updates and follow-up materials.
- Support pilot coordination, meeting notes and founder follow-through.
- Turn raw founder context into crisp memos, trackers and next steps.
- Help with recruiting, investor materials and weekly operating rhythm.
Profile
Talk about this role
Strong bachelor background, ideally business/WHU-style network, available from August for a gap-year internship. You are structured, fast, curious about AI and healthcare, and willing to do unglamorous work with taste.
Best fit: someone who learns fast, writes clearly and enjoys being useful before being fancy.
Company Contact
For partners and strategic conversations.
For practice conversion, the best path is Praxis OS. For company, vertical and strategic conversations, talk to Agensio Technologies.