FAQ: AI consulting, opportunity assessment and return on investment
How to prepare for AI consulting, assess value and agree costs, implementation and next steps.
- An opportunity assessment ranks tasks by value, effort and prerequisites.
- Value is measured against the current process, including review, rework and running costs.
- Pilots, implementation and support are included only to the extent agreed.
Questions and answers (10)
When is AI consulting useful for our SME?
When recurring work takes up time or several AI ideas compete for resources. Bring a specific task, such as compiling a report from several sources. You do not need to have chosen an AI tool or designed a technical solution before an initial conversation.
What does an opportunity assessment deliver?
A description of the selected workflows and prioritised opportunities with their value, effort and prerequisites. A fictional outcome note might read: “Test enquiry drafts first; approved examples are available. Leave automatic sending out for now; the team retains final review.” The proposal defines which workflows we assess and which documents you receive.
What should we prepare and who should attend?
Describe one task: who handles it, how often it occurs and how long it takes today. A process sketch, a list of existing systems and an approved example, anonymised if needed, are useful. Involve the person who knows the workflow; include the responsible IT person if system integrations are involved.
How do we assess the ROI of an AI solution?
ROI means return on investment. Compare expected value and all costs over the same period. Measure time and quality for both the current process and the trial, including review and rework. Time saved initially creates available capacity; it reduces spending only if costs actually disappear. A fixed payback period cannot be promised in advance.
Which costs belong in the comparison?
Include assessment, setup or development, data preparation, internal staff time, training, licences and ongoing support. Reviewing results also takes time. Separate one-off work from recurring costs and compare proposals for the same scope and period.
What does the proposal clarify before we commission the work?
The tasks to assess, expected deliverables, your involvement and the agreed services. Implementation may also involve interfaces, user roles and testing the solution. Additional functions, licences, operating costs and support are scoped separately; we agree changes before implementing them.
Does consulting include a pilot and technical implementation?
Only if they are agreed in the proposal. Assessment selects suitable tasks, a pilot tests a bounded approach, and implementation makes it usable in everyday work. Peak Pioneers also offers workflows, interfaces and custom software. These activities, introduction to the team and ongoing support each need a defined scope in the engagement.
How do we decide after a pilot?
Compare typical cases and exceptions with the current process: are the results usable, does total processing time fall and is rework manageable? Agree before the trial which results justify continuing, adjusting or stopping. Data access, ownership and operations also need to be resolved before ongoing use.
Can the assessment recommend a solution without AI?
Yes. A better template, an existing software feature or a workflow with fixed rules may be enough. AI may be worth considering for summarising enquiries worded in different ways. For a fixed calculation or transferring known data fields, we first consider conventional software or automation.
How do we get started with Peak Pioneers?
Use the contact page to describe a recurring task, the systems involved and the result you want. For example: “We collect information for the weekly report from three spreadsheets and want to avoid entering it twice.” In the initial conversation, we discuss where consulting, an opportunity assessment or a specific implementation could help.
Related services and guides
AI consulting
Explore the approach and possible forms of collaboration.
Identify AI opportunities in your business
See how workflows, feasibility and next implementation steps are assessed.
AI use cases for Swiss SMEs: prioritise ten practical ideas
Prioritise recurring tasks by need, effort and reviewability rather than promises of universal profitability.
Sources and technical background
These sources explain the underlying principles. Our recommendations provide practical guidance and do not promise a particular project result. Editorial review: 18 October 2026.
Which task would you like to investigate?
Describe your current process, the systems involved and the result you want. This gives us a starting point for the conversation.
Free initial conversation