What should we automate?
We map recurring work and prioritise opportunities based on value, feasibility and risk.
AI consultancy · Netherlands
Fresh Kiwi helps organisations identify where AI creates real value, automate the best opportunities and scale solutions safely.
Practical. Secure. Measurable.
Perspective
Many organisations experiment with disconnected tools and pilots without a shared roadmap, measurable ROI or governance. Fresh Kiwi starts with the work itself: tasks, processes, risks and value.
Fresh Kiwi
We map recurring work and prioritise opportunities based on value, feasibility and risk.
We choose the simplest architecture that works and design security, privacy and human oversight from the start.
We establish a baseline before implementation and measure time, quality, cost and realised ROI after go-live.
Opportunity audit
An audit does not produce a list of interesting AI ideas. It produces a decision-ready opportunity portfolio. The numbers below are illustrative.
ROI
Use a simple estimate to see why recurring work can quickly become interesting for automation. This is indicative, not a business case.
A real Fresh Kiwi business case also includes implementation cost, risk, quality, exceptions and human oversight.
Find the other opportunities in your organisation →Assessment
We score each automation opportunity across 11 criteria. Here are the four management decisions that matter most.
How much time, cost, quality or risk can improve?
Are the data, systems and integrations suitable for reliable automation?
Which security, privacy, compliance and oversight requirements apply?
Does expected annual value justify implementation and operating cost?
Method
We start with business tasks, not technology.
Why Fresh Kiwi
Fresh Kiwi is a founder-led consultancy with one clear method: determine what is worth doing, implement small, measure, and only scale what works.
We start with work, constraints and value — not with an AI tool looking for a use case.
For each task we choose the simplest suitable combination of workflow, AI, tools and human oversight.
Access, confidentiality, privacy, logging and governance are considered before anything goes live.
Existing capability patterns are configured where possible instead of rebuilding every customer solution from scratch.
Engagement model
No large transformation commitment up front. Start with an audit, prove value with one capability, then scale deliberately.
Qualification
Not every AI question needs a consultancy engagement. These signals help determine whether an Opportunity Audit or pilot makes sense.
Next step
Book an introduction to discuss where AI can create measurable value in your organisation.