Process information from documents
Aimbed develops an application that extracts information from your PDFs, scans or forms. Missing information is flagged and the output is prepared for review and recording.
How we approach thisApplied AI. Built into the way you work.
AI for organisations where care matters.
Less administrative work. Faster access to the right information. More time for the work that matters. Aimbed builds and maintains AI applications for healthcare and public organisations. In your Microsoft environment, with control over data and quality you can assess.
AI in your workflowTailored
DocumentsSharePointRequests
Application by AimbedDesigned around your workflow
01Find knowledgeAnswers with sources
02Process documentsInformation ready for review
03Next actionsThe next step prepared
Designed around your workflowYour documents, systems and responsibilities shape the application.
Quality you can assessWe test representative examples against criteria agreed in advance.
Development and ongoing careOne partner for delivery, integration and agreed ongoing support.
Possible applications
Familiar work. A focused application.
These examples show where AI can help employees and customers. Discovery establishes what your specific documents, questions and workflow require.
Find answers in your knowledge
We build a knowledge assistant that answers employee or customer questions using selected sources, with citations, appropriate access and a next step when information is missing.
How we approach thisFrom request to next action
We automate the steps of a request: collecting information, identifying the right route and preparing an appointment or record. Actions follow agreed rules and approvals.
How we approach thisExperience of the founder
Understand the problem.
Make the application work.
A useful AI application takes more than a model. These examples from my previous work show how I bring development, domain knowledge and collaboration together.
01Predictive models · NLP · Epic
From clinical text to practical support
In hospital settings, I developed predictive models and NLP applications for clinical and administrative questions. My work included predicting readmissions, identifying complications in clinical notes and checking healthcare records.
I also integrated AI solutions into existing Epic workflows with healthcare professionals and IT teams. This experience helps me connect AI to the systems and responsibilities already in place.
Technical development and integration into everyday workflows.
02Generative AI · Engineering · Project leadership
From consultation notes to daily healthcare administration
Clinical notes contain nuances that are difficult to capture with keywords or fixed rules. As an AI engineer and project lead, I developed and implemented a generative AI application that assesses whether telephone consultations can be billed.
I brought language models, billing criteria and the existing workflow together. Working with the professionals involved, I supported validation and implementation.
Hands-on development and project leadership, from question to use.
03Copilot Studio · Power Apps · Azure
Microsoft applications for employees
At an organisation in the energy sector, I built Copilot chatbots and a Power Apps application for budget checks. I also contributed to AI projects with an Azure backend.
I apply this experience to your needs: practical applications for employees, using Copilot Studio and Power Apps where suitable, with additional development where needed.
From a business question to a concrete application.
Microsoft as our preferred ecosystem
AI for your Microsoft environment.
Already using Microsoft 365, SharePoint or Azure? Aimbed builds on that environment. We select what your application needs: Power Apps and Power Automate for workflows, Copilot Studio for assistants or custom software on Azure.
Less manual work
Process automation
Aimbed automates recurring tasks and handovers. We can build a Power App or connect the systems you already use.
See our approach From idea to applicationCustom AI applications & agents
Aimbed develops knowledge assistants, document processing and AI workflows for your organisation, using Copilot Studio where suitable and custom code where needed.
See our approachYour use case determines the design.
Discuss your needs
We first assess what your existing software can do. Where more is needed, we combine reusable software with configuration and integrations for your organisation. Licensing, access, operations and costs are discussed up front.
Our approach
Your use case first. Then we build with focus.
For a new or complex use case, we start with discovery. We examine your workflow and representative examples. You receive a scoped proposal with quality criteria, required integrations, an estimate and a decision on next steps.
Explore real examples
Which documents or questions occur? What should the application produce, which errors are unacceptable and where is human review needed? Ordinary automation or existing software may also be the answer.
Prove
We build one focused application and test it against agreed examples and exceptions. This shows whether quality, time savings and costs meet your needs.
Launch and ongoing care
We connect the application to your systems and support its launch. Aimbed then provides management, maintenance and support for the application we build.
How are costs determined?
An introductory meeting is free of charge. For a new or complex use case, we usually start with a focused discovery. Before work begins, you receive clarity on scope, intended outcome and price. We then provide a separate proposal for development and integration. Ongoing management, further development, cloud usage and any licences are shown separately.
Security & AI governance
Control over data.
Visibility into quality.
Privacy and security belong in the design. At the start, we agree with your IT team which data the application may use, who can access it and how outputs will be reviewed.
Your environment, your access policies
We prefer to deploy production applications and customer data in your own Microsoft tenant. Data flows, processing regions, retention periods and access are aligned with your policies.
Customer tenant · Data minimisation · Data residency
Only the access needed
We design access around least privilege. Where suitable, we use Microsoft Entra ID, role-based access control (RBAC) and managed identities, with separate agreements on administrative access.
Entra ID · RBAC · Least privilege
Traceable actions
We establish which actions and changes must be traceable. Audit logging is tailored to its purpose, with agreements on retention and protection of sensitive content.
Audit logging · Traceability · Operations
Test AI before relying on it
We test representative examples and exceptions. Acceptance criteria, human review and handling of uncertain outputs are agreed in advance. Changes are tested again.
AI evaluation · Human oversight · Regression tests
How do we address GDPR, BIO2 and NEN 7510?
Together with your privacy and security owners, we identify the requirements relevant to the application, such as GDPR, BIO2 or NEN 7510. We translate agreed requirements into design choices, responsibilities and documentation. Where needed, we provide technical input for your DPIA and internal review.
How do you support our security and procurement review?
You gain insight into the security measures, data processing and responsibilities for your application. We align the required documentation with your security and procurement requirements, including relevant, available certifications for the selected cloud services and their scope. This helps your organisation make an informed assessment of the solution and the agreed responsibilities.
What does your IT team receive at handover?
You receive documentation covering configuration, integrations, access rights and evaluation results. This helps your organisation assess the application and manage future changes carefully.
Ongoing care & continuity
A direct point of contact after launch.
Aimbed provides management, maintenance and support for the AI application we build. Before launch, we agree what to monitor, how changes are tested and what support fits the application.
Direct contact with the developer
For maintenance, updates and support, you work directly with the specialist who knows the application.
Visibility into quality and changes
We agree on the signals and quality measures to monitor and how to investigate errors. Releases are checked against agreed criteria; new functionality is scoped separately.
Continuity by design
We design the application so quality, changes and maintenance remain manageable after launch. We discuss the appropriate approach in advance.
Who we work with
For people serving the public.
In healthcare and public services, new applications must fit sensitive data, existing systems and professional responsibilities. Aimbed helps turn a concrete problem into a focused AI application with quality you can assess.
AHealthcare organisations with extensive documentation and administration
BPublic organisations with information-intensive processes
CTeams adopting AI carefully within their Microsoft environment
Annika Rausch · Founder of Aimbed
Your needs deserve expertise and delivery.
- PhD Cognitive Neuroscience
- Data science since 2019
- AI engineering & project leadership
I am Annika Rausch, founder of Aimbed. With a PhD in Cognitive Neuroscience and experience in applied data science since 2019, I combine scientific rigour with practical AI development.
I have worked on clinical text analysis, predictive models, generative AI and Microsoft applications. In healthcare, I combined development with project leadership and integration into existing workflows. As an AI Lead and people manager, I guided AI professionals and delivered solutions for clients.
My scientific background shapes how I evaluate AI: what performance is required, how do we test it, and where are its limits? I have worked with clinical, technical, legal and financial teams and led a working group on Medical Device Regulation (MDR).
At Aimbed, you work directly with the specialist who develops your use case and builds the application. From initial exploration to further development and agreed ongoing support.
Contact
Where does your work get stuck?
Spend 30 minutes with Annika discussing your problem, the outcome you need and a suitable next step. You do not need a fully developed AI plan.