Workflow map
Identify triggers, systems, data owners, hand-offs, exceptions and the authoritative record.
AI integration and automation
Connect the right step in the workflow, preserve system ownership and keep a reliable path for exceptions and rollback.
Copying information between an AI interface and business systems weakens traceability and adoption. But direct integration without permission design, validation or exception handling can be worse. The work is to connect only the useful step and preserve the controls around it.
AI integration and automation
The controls below are design commitments. The exact technical and commercial scope is confirmed in the written proposal.
Identify triggers, systems, data owners, hand-offs, exceptions and the authoritative record.
Confirm supported APIs, authentication, rate limits, data formats and vendor dependencies before design.
Give the integration only the read or write capabilities required for the approved workflow.
Check outputs and required fields before information is written back or used for a consequential action.
Route incomplete, uncertain or conflicting cases to a named person without silently dropping work.
Document how to pause the integration, restore the manual path and transfer its configuration and records.
A clear next step
Each stage has an owner, an output and an approval point so that progress remains understandable.
Document the current path, systems of record, pain point, volume and responsible owner.
Implement the smallest integration with restricted rights, validation, logs and a manual fallback.
Compare the result with the baseline, review exceptions and expand only after an informed approval.
Illustrative deliverable — not a client result
Direct answers
Clear answers help you compare providers, question assumptions and make a more informed decision.
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.
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.
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.
Book a 30-minute 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.
+41 22 552 08 10
info@dspsa.ch