Process discovery
We document steps, owners, and tools to understand how the task really works.
Services › Impact and evolution › AI process automation
AI process automation
We analyze repetitive tasks and design workflows that combine rules, integrations, and AI when that combination genuinely reduces manual work without hiding the decisions that need oversight.
Automation starts with understanding the current process: what comes in, who decides, where exceptions appear, and what needs to be logged to know what the system did.
A task repeated many times is also information.
Automating starts by separating what's repetitive from what needs judgment.
Volume and frequency
We measure how often the task repeats and how much time it takes, to prioritize with data.
Risk and exceptions
We identify sensitive decisions, missing data, cases outside the rules, and points where a person needs to step in.
AI where it helps
We use AI to classify, extract, or summarize when the task justifies it, and simple rules when they work better.
Logging
We design the workflow to leave a trail of what it processed, what decision it made, and where it stopped.
Review and reversibility
When the system allows it, we work with changes that can be controlled and reversed, and with clear conditions for stopping the process when information is incomplete.
How it's built
Measure the work first. Then choose what to automate.
Inventory
We gather repetitive tasks and available records to find where the effort is concentrated.
Selection
We compare frequency, time spent, risk, and integration complexity.
A very frequent task may not be a good candidate if each case calls for a different decision.
Prototype
We build a limited workflow with tests and representative data.
Errors and exceptions are recorded before the scope is expanded.
Operations
Once the prototype is stable, monitoring, owners, alerts, and maintenance for the workflow are defined.
Projected savings are kept separate from actual results.
Work · SAI
The time log showed where the repetitive work was.
To analyze automation opportunities, we reviewed 1,358 of SAI's time entries.
FAQ
Which tasks can be automated on a medical device company's website?
Tasks that follow the same pattern can be automated: bulk edits, uploads from spreadsheets, site reviews, reports, and part of content production. Anything that requires medical validation stays out.
Does automation replace the team?
No. It removes repetitive work, and every automation includes a point where a person reviews it.
What happens if an automation fails?
It's designed to stop and send an alert. It handles one change at a time. Everything is logged, and each change is designed to be reversible.
Can the site be connected to the ERP or to the product spreadsheets?
Yes, and it's worth assessing with the company's IT team from the start: sometimes a spreadsheet upload solves the same problem with less risk.
How is the time saved measured?
By comparing before and after measurements with the initial diagnosis. Projected figures are reported as projections until they're measured.