Business value
Which repeated workflow creates meaningful delay, cost, inconsistency or retrieval friction?
AI readiness assessment
Find the right first AI pilot — before you buy more tools
Prioritise useful workflows, expose data and control gaps, and leave with a decision record your organisation can use.
Readiness is not a generic score. It is the ability to run one use case responsibly.
An organisation may have strong systems and still lack a suitable workflow owner, accessible data or a way to measure the result. A useful assessment connects opportunity, feasibility and risk so that leaders can choose a first pilot or decide not to proceed yet.
AI readiness assessment
Six questions before a pilot
The controls below are design commitments. The exact technical and commercial scope is confirmed in the written proposal.
Ownership
Who understands the current process, approves change, reviews outputs and supports the result?
Data
Are the required sources reliable, authorised, accessible and appropriately classified?
Systems
Can the workflow integrate safely with the existing identity, applications and records?
Controls
What permissions, human approvals, logs, retention rules and fallback are required?
Measurement
What baseline and observation period allow a credible stop, adjust or expand decision?
A clear next step
Assessment to decision
Each stage has an owner, an output and an approval point so that progress remains understandable.
Discover
Interview workflow owners and review the current process, systems, information and constraints.
Prioritise
Compare candidate use cases by value, feasibility, risk, ownership and ability to measure.
Recommend
Define the best next step, required controls, dependencies, pilot measure and reasons to defer where relevant.
Illustrative deliverable — not a client result
A practical readiness decision pack
- Prioritised use-case shortlist with decision criteria
- Current workflow, system and data dependencies
- Control gaps, ownership and prerequisites
- Recommended pilot scope, success measure, fallback and 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.
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.
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.
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