Define boundaries first
Set what AI owns, the authority it has, and when it stops—before implementation.
AX / WORKFLOW TRANSFORMATION
AI that changes
the way work flows.
Rather than adding AI as one more tool, Wistella drives AX (AI Transformation): we break down how work is actually done and redesign the roles of AI and people. We are starting in healthcare.
01 / Our View
Adding AI alone
does not change the work.
An AI tool does not lighten the load on the front line if the workflow stays the same. What has to change is the flow of work itself—who decides what, and in what order.
Wistella breaks down how work is done, decides what AI should own and where people make the call, then redesigns the workflow. Three principles guide that work.
Preserve the evidence
Record each step from input to outcome so people can verify what the AI produced.
Transform the workflow
Protect human decision points while redesigning roles and the flow of work itself.
02 / Solutions
Three ways we support
workflow transformation.
01
WISTELLA SOLUTION
AX Transformation
We map how work flows, decide what AI should own and where people make the call, then implement and stay with you until the new workflow takes hold.
See the case study02WISTELLA SOLUTION
R&D
We turn questions from clinical practice into AI research and validation, and carry the results into both publications and implementation.
See our research03WISTELLA SOLUTION
Advisory
Ongoing advice on AI strategy, research planning, and the rules that govern adoption.
Get in touch03 / Case Study — AX Transformation
Changing the care workflow,
starting with the interview.
Taking the history, transcribing it into the chart, checking for gaps—work that people have always carried. We redesigned that flow so AI organizes what the patient says and clinicians can focus on review and correction. The interview app grew out of that work.
In use in selected departmentsHow the work changes
- Patient
Talks it through
Describes symptoms and history by answering questions instead of filling in a form
- AI
Organizes the information
Structures symptoms, history, and open items from the conversation into a record
- Clinician
Reviews and corrects
Spends time on review and decisions instead of interviewing and transcription
Before
Clinicians took the history, transcribed it into the chart, and checked for gaps themselves.
VOICE-FIRST INTERVIEW
Interview App
Structures required information one item at a time and chooses the next question while keeping missing fields visible.
Reconstructed from the actual product screens. Contains no patient data. Not for diagnostic use.
04 / Research
Making AI output
verifiable by people.
Focusing on cardiovascular images, we study how to make LLM outputs explainable and usable in a form people can verify.
FY2026 TRACK RECORD
2papers
Accepted in the Journal of Cardiovascular Electrophysiology (JCE)
Research on the explainability of LLMs for cardiovascular images. One paper is accompanied by an Editorial Comment discussing the work.
Several
Manuscripts in preparation
Further ECG AI studies are being validated and written up.
RESEARCH PROTOTYPE
ECG Image Measurement
AI only locates points on the waveform; measurements come from deterministic calculation. People can check on the image which points produced which values.
A visualization reconstructed from a research prototype. Not for diagnostic use.
06 / Disclosure
Public Notices
07 / Contact
Start AX
by rethinking the workflow.
Let’s decide which work AI should take on and where people should stay in control—starting from your current workflow. We also welcome inquiries about research and advisory work.
Discuss AX with uscontact@wistella.com