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Home Industries Healthcare

AI in healthcare

AI agents take work off finance, billing and administration in medical care centers and hospital groups.

Question from the business unitAnalysis with sourceFinance approves
  • IT expertise since 1997
  • AI research since 2013
  • AKARA Solutions is Certified in the Claude Partner Network.
Claude Partner Network, partner badgeOur AI experts hold Claude certifications.(opens in a new window)
Quick answers

How do healthcare groups build AI into finance, billing and administration?

Healthcare groups start where experts search for and reconcile numbers: requests to the finance team, billing data from several systems, guidelines and protocols. AKARA Solutions maps these workflows, builds in AI agents and connects them to ERP and billing. Your experts only review where their judgment counts. AKARA Solutions clarifies health data, medical confidentiality and the EU AI Act before building.

Our services for healthcare groups

Every service tailored to finance, billing and administration in medical care centers, practice and hospital groups.

Analysis, consulting, and implementation and integration follow one another in a circle around your organization; operations and infrastructure form a ring directly around your organization; training plus compliance and security enclose all steps.AnalysisConsultingImplementationOperations and infrastructureTrainingCompliance and securityYourorganization
  • AnalysisWe map your current processes: which number comes from which system, where requests to the finance team get stuck and what billing reconciles by hand.
    Examples: the workflow from request to finished analysis; data sources per site: practice and hospital administration, billing service provider, accounting; time and follow-up questions per workflow, measured on your cases
  • ConsultingWe recommend target processes with AI and define for each step what AI agents take over and where your experts sign off. For each use case, we calculate what it brings your group in time and revenue.
    Examples: target process per workflow, approved by your experts; business case per use case, ranked by value; roadmap across all sites
  • Implementation and integrationWe build AI agents into your workflows, work with your real data and connect ERP, billing and the systems at your sites. Routine cases go straight through, while your experts review the exceptions.
    Examples: capturing requests to the finance team completely; questions about your numbers, every number with its source; reconciling billing data with your own systems; bringing private billing into your own ERP system
  • Operations and infrastructureWe run the applications where your data is allowed to reside, monitor them and manage model costs for each application.
    Examples: operation in your data center or in a cloud that meets your requirements; monitoring and maintenance, ongoing or until handover to your IT; model selection and cost control
  • Compliance and securityWe clarify health data, medical confidentiality and the EU AI Act before building. Your data protection officer gets what they need to approve.
    Examples: classifying every application under the EU AI Act; data flows and access rights per site; documentation for data protection and employee representatives
  • TrainingIf you want, we train your finance, billing and administration teams alongside the project, on your own workflows and at our academy.
    Examples: live seminars at our AI Academy in German, also at your site; key users at each site who pass on the knowledge; supporting your users in their daily work with Claude
    See our trainings (in German)

Every workflow follows the same pattern: AI handles the routine, your experts decide where it counts.

Your data and casesAI agent does the workApproval where it counts
Eike-Christian Ramcke
Eike-Christian RamckeCEO

Your contact for healthcare

From the first conversation on, the person responsible for your project is involved.

Requests to the finance team

How do requests reach the finance team with nothing missing?

AKARA Solutions places an AI agent in front of the finance team: it takes the request from the business unit and asks for what is missing, such as time period, sites and KPI. The finance team starts with a complete request instead of several rounds of follow-up questions. According to the 2020 bureaucracy index, the reporting obligations of the German self-governing health system alone cost a practice an average of 61 working days a year.

Source: KBV (National Association of Statutory Health Insurance Physicians), proposals for reducing bureaucracy, bureaucracy index 2020

Learn more: Insights: AI agents: what they can do and where their limits areSeminar (in German): Agentic AI: automating tasks with AIService: Implementation and integration

Request from the business unitcomplete requestTeam starts

Completing requests

Before an analysis begins, the AI asks for what is missing: time period, sites, KPI. Your team starts with a clear request.

Questions about your numbers

How does AI answer questions about your numbers, with sources?

Your departments ask in plain language. The AI agent compiles the numbers from your systems and shows where each number comes from; the finance team approves instead of searching. The more sites a group has, the more systems supply numbers: as of December 31, 2024, Germany had 5,085 licensed medical care centers (MVZ), 4 percent more than a year earlier.

Source: KBV, MVZ aktuell, as of October 14, 2025

Learn more: Insights: Which AI model fits which use case?Seminar (in German): AI for advanced users: from idea to applicationService: Implementation and integration

Question in plain languageAnalysis with sourceFinance approves

Questions about your numbers

Departments ask in plain language, and the AI compiles the numbers from your systems and shows where each number comes from.

Billing across many systems

How does AI reconcile billing data from several systems?

The AI agent merges the data from your billing service provider with your own systems and flags discrepancies. Your billing team only clarifies what stands out. In private health insurance alone, 8.79 million people in Germany had full coverage in 2025.

Source: PKV-Verband (Association of Private Health Insurers), press release of February 4, 2026

Learn more: Insights: Build or buy AI? Build vs. buy for midsize companiesSeminar (in German): AI for advanced users: from idea to applicationService: Consulting

Provider dataReconciliation and discrepanciesBilling clarifies

Reconciling billing data

Data from the billing service provider and your own systems is merged, and discrepancies are flagged. Your billing team clarifies what stands out.

In the initial call, we work out which of your workflows comes first.

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Knowledge in people's heads and inboxes

How do guidelines and protocols become searchable?

AKARA Solutions makes standard operating procedures, guidelines and protocols searchable for an AI agent. Every answer cites the passage it comes from, and your business unit reviews it. That keeps knowledge in-house when experienced staff leave: in the Federal Employment Agency's 2025 skills shortage analysis, medical assistants, with a score of 2.0, just qualify as a shortage occupation.

Source: Federal Employment Agency, skills shortage analysis 2025

Learn more: Insights: RAG, fine-tuning or both?Seminar (in German): AI fundamentals: your introduction to artificial intelligenceService: Implementation and integration

Guidelines and protocolsAnswer with referenceBusiness unit reviews

Making knowledge searchable

Standard operating procedures, guidelines and protocols become searchable. Every answer cites the passage it comes from.

Health data and the EU AI Act

Can health data go into AI?

That is decided before building: together with your data protection officer, AKARA Solutions defines which data the AI uses, where it runs and which contracts apply. Under Article 9 of the General Data Protection Regulation, health data is a special category of personal data; from March 26, 2027, the European Health Data Space Regulation also applies.

Source: General Data Protection Regulation (EUR-Lex)Source: Regulation (EU) 2025/327 (EUR-Lex)

Learn more: Insights: EU AI Act: what companies need to know and do nowSeminar (in German): AI compliance and security (EU AI Act)Service: Compliance and security

  • Data protectionWe set up where your data resides and where the AI runs according to your requirements. Before building, we define with your data protection officer which data it uses and which contracts apply.
  • Data sourcesThe AI only works with the systems and fields you approve. What it reads is stated in the project description.
  • EU AI ActWe classify every application under the EU AI Act before building. We train your team as an AI literacy measure under Article 4; the AI literacy check shows in advance where it stands today.
Running AI agents securely

How secure is an AI agent in our workflows?

Before launch, AKARA Solutions defines what an agent may do and which billing and finance data it can access. We test whether it can be manipulated, for example through instructions someone slips into emails or documents. Every decision is logged, and your experts sign off where their judgment matters.

Learn more: Insights: AI agents: what they can do and where their limits areSeminar (in German): AI compliance and security (EU AI Act)Service: Compliance and security

  • PermissionsBefore launch, we agree with you on what the agent may read and do.
  • Protection against manipulationWe test the agent against instructions someone slips into emails or documents.
  • LogEvery decision the agent makes is logged and remains traceable.
  • Code reviewWe review code that AI helps write like any other code.

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