Workflow first
Map the current task, delays, hand-offs, exceptions and the people responsible before selecting technology.
Practical AI
Practical AI for useful, measurable workflows
Choose one real workflow, define success before building and keep people in control of sensitive decisions.
An impressive demo is not an operating result.
AI initiatives stall when the use case is vague, the data path is unclear or nobody owns the result after launch. The safer path is a narrow pilot that fits the tools people already use and can be measured against the current process.
Practical AI
From workflow to controlled pilot
The controls below are design commitments. The exact technical and commercial scope is confirmed in the written proposal.
Measurable outcome
Define the baseline and success criteria, such as time saved, faster retrieval or fewer manual steps.
Data boundaries
Identify approved sources, confidential information, model and vendor choices, location, retention and training settings.
Human responsibility
Define who reviews outputs, approves consequential actions and handles exceptions.
Integration fit
Use available interfaces and permissions to work with existing systems where this is reliable.
Reversible delivery
Keep the current process available until the pilot is proven and document how to pause or roll back.
A clear next step
A small, decision-ready pilot
Each stage has an owner, an output and an approval point so that progress remains understandable.
Select
Choose one frequent, bounded workflow where the current friction and owner are known.
Control
Agree the data boundary, permissions, human approvals, logging, success measure and fallback.
Decide
Run the pilot, review the measured result and choose whether to stop, adjust or expand.
Illustrative deliverable — not a client result
The pilot decision record
- Current process and measurable baseline
- Approved data sources and access model
- Human review, exception and rollback responsibilities
- Observed result, limitations and evidence for the next decision
Direct answers
Questions Swiss organisations ask before changing IT or introducing AI
Clear answers help you compare providers, question assumptions and make a more informed decision.
What is practical AI?
Practical AI starts with a specific business workflow, a measurable outcome and controlled access to data. We design a limited pilot, document the controls and only recommend expansion when the result is useful and supportable.
Can AI integrate with our current tools without replacing them?
Often, yes. An assistant or automation can connect to approved systems and fit into an existing workflow. We first check the available interfaces, permissions, data quality and fallback process before proposing an integration.
How do you protect confidential information?
The design begins with minimum data access, explicit permissions and a documented choice of model, vendor, data location, retention, logging and training settings. Sensitive actions can require human approval, and every pilot includes a rollback path.
Start with the problem, not a technology purchase.
Book a 30-minute assessmentBook a 30-minute assessment
Book a 30-minute practical assessment
Tell us about one IT or workflow problem. You will leave with an initial view of the risks, feasible options and the most sensible next step. No technical preparation is required. Fields marked with an asterisk are required.
What happens next
- Describe one problem and suggest a convenient time.
- We use the context to focus the 30-minute conversation on IT, AI or both.
- The conversation ends with an initial view of risks, feasible options and the smallest sensible next step.
+41 22 552 08 10
info@dspsa.ch