Use cases

Proven patterns, not experiments.

Most valuable AI in business follows five patterns. Each one below comes with two examples from practice and the places it fits in your own processes.

Recognise & inspect

In your process

Inspections, quality checks and reading documents and photos: invoices, claim photos, forms.

Overstory

Vegetation risk around power lines

What AI does: Analyses satellite imagery to spot trees and vegetation that put power lines at risk.
Who decides: Grid operators and arborists review the findings and decide where to inspect or intervene.

Source: Overstory · Case via AI For Good

Myne

Sorting aluminium scrap by alloy

What AI does: Recognises the alloy of each piece on the belt from sensor and image data, so robots can sort it.
Who decides: People design, run and monitor the process and decide how the recovered metal is used.

Source: Myne · Case via AI For Good

Predict & plan

In your process

Capacity planning, demand forecasting, stock levels, grid load and rostering.

Gradyent

Heat network control

What AI does: Forecasts demand and behaviour in a heat network, using a digital twin of the network.
Who decides: Network operators combine the forecast with technical models and sensor data to steer the network.

Source: Gradyent · Case via AI For Good

Source.ag

Greenhouse horticulture

What AI does: Processes cultivation data and simulates outcomes to forecast harvests.
Who decides: Growers weigh the insights against their own experience and local conditions, and make the call.

Source: Source.ag · Case via AI For Good

Document & summarise

In your process

Call and meeting notes, reports, case files, customer letters and handovers.

Juvoly

Clinical notes after a consultation

What AI does: Turns the consultation into a structured draft of the medical record.
Who decides: The clinician checks and completes the note and stays responsible for the medical assessment.

Source: Juvoly · Case via AI For Good

Dembrane

Citizen participation at scale

What AI does: Brings together recurring themes, differences and questions from many group conversations, each traceable to its source.
Who decides: Participants check the summary against what they actually said.

Source: Dembrane · Case via AI For Good

Advise & find knowledge

In your process

Making policies, procedures and contracts searchable, with answers that cite their sources.

Ask Aletta

Medical questions from care professionals

What AI does: Searches large volumes of medical information and drafts a concise answer with references.
Who decides: The professional checks the sources and decides what applies to this patient.

Source: Ask Aletta · Case via AI For Good

FarmerChat

Advice for smallholder farmers

What AI does: Answers questions by text, voice or photo from vetted sources, in the farmer's own language.
Who decides: The farmer decides what to do; agricultural experts maintain the knowledge base and decide when human advice is needed.

Source: FarmerChat · Case via AI For Good

Detect early

In your process

Faults, fraud, unusual transactions and assets that need attention.

Samotics SAM4

Pumps and motors that are hard to reach

What AI does: Learns the normal electrical signature of a machine and flags deviations early.
Who decides: Maintenance teams decide whether and when a pump is stopped or repaired.

Source: Samotics SAM4 · Case via AI For Good

Jungle AI

Wind turbine performance

What AI does: Finds hidden performance loss in large volumes of turbine sensor data.
Who decides: Engineers check the diagnosis and decide which technical intervention is sound.

Source: Jungle AI · Case via AI For Good

Browse the full library

More than a hundred attributed AI cases from the Netherlands and abroad, collected by AI For Good.

Open the library

Examples are public cases from other organisations, sourced via AI For Good (ai-4-good.org). They are not Arnaldus customer work.

Start with one process.

Describe one process that takes too long. Arnaldus maps it and shows where AI can help first.

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