Scope: map data, interfaces, volumes and exceptions.
Technical scoping and success criteria
AI Engineering · Zurich
We have a business need that involves our software or data.
We design, integrate and deploy a solution around your work.

WHAT WE DO
AI Engineering in Zurich: software or an agent designed for a defined task, connected to your systems. Inputs, access rights and acceptable errors are scoped before the prototype; production follows testing and your approval.
Example engineering assignment to scope in Zurich: find a procedure in financial-services documentation. A prototype agent receives an authorised input, prepares a proposal and routes it to an owner before any external action. Evaluation covers errors, exceptions and cost per case; connection to business software depends on available interfaces.
Illustrative working example — not a client caseA business owner and IT validate access, test examples and acceptance. Together we organise each phase.
Prototype: test an authorised sample against a business reference.
Documentation, handover and operating arrangements
HOW IT TYPICALLY RUNS
One precise piece of work or several in sequence. The proposal sets the work; a subscription reserves hours each month for an agreed list of priorities.
Technical scoping and success criteria
Delivery and tests agreed in the proposal
Documentation, handover and operating arrangements
Bring a process map, systems to connect, authorised examples and volumes. Identify who approves access and who accepts the result; production access is never implicit. Read the preparation guide ↗

WHY THIS MATTERS HERE · Zurich
Switzerland’s leading financial centre, Zurich is also home to insurers’ head offices and B2B software vendors; ETH, in the city itself, trains many of the region’s technical profiles.
Zurich is the country’s leading business centre: Paradeplatz and the big banks, the insurers’ head offices, ETH and its spin-offs, the Zürich-West and Oerlikon districts where software vendors and the offices of technology groups settle, Kloten airport twenty minutes away. A Zurich SME, whether a fiduciary in Kreis 1, an insurance broker in Altstetten or a SaaS startup at Technopark, operates in an environment where quality and speed expectations are high and where English is often the working language of technical teams.
In Zurich, typical use cases concern documenting internal procedures in regulated financial services, answering the compliance questionnaires of large clients, qualifying support tickets and automating data entry between a CRM and an invoicing tool. In all these cases the human validation point must be explicit, because mistakes are costly and visible.
These references inform the approach; they are not client endorsements or legal advice.
QUESTIONS BEFORE YOU START
That depends on the available interfaces and permissions. We first check exports and APIs; integration is not promised before this review.
After representative testing, agreement on acceptable errors and a support plan. No fixed timeline applies to every project.
The quote separates scoping, implementation and operation, based on volumes, interfaces and required checks. Locations and travel are specified before commitment.
Neighbouring cities served · AI Engineering
Each city has its own page, with the same scope and the same price grid; only the local context changes.
All cities ↗AI Engineering · Zurich
Tell us which task is slowing the team down, who does it today and what a good result would look like. We will confirm scope, availability and budget before any work starts.
No work starts before scope and budget are agreed.