Farms and agri-businesses generate more data than ever, from machinery telematics and field records to weather feeds and laboratory results. Most of it never reaches the office in a usable form. Software and AI tools can bring field, machine and paperwork data together, so planning, traceability and subsidy reporting rest on the same numbers.
≈ 150 h / mo.office and agronomy hours freed monthly
≈ €40,000 / yrsaved per year on admin and inputs
4–7 mo.usual payback for this kind of build
The challenges
What slows this industry down
01/02
01
Field records live on paper
Spraying, fertilizing and harvest operations are noted in notebooks or a driver's phone, then typed up weeks later. Details get lost, and reconstructing a season for an inspection becomes guesswork.
02
Machinery data stays siloed
Each tractor, combine and implement brand has its own telematics portal. Fuel use, hours, yield maps and service history sit in separate accounts that never combine into one operational picture.
03
CAP paperwork is heavy
Subsidy applications, land parcel declarations, cross-compliance evidence and nutrient management records all demand precise data on fixed deadlines. Assembling it from scattered notebooks, portals and spreadsheets absorbs weeks of office time every year.
04
Traceability under pressure
Buyers, processors and certification schemes ask for batch-level origin, treatment and storage records at short notice. Answering with folders of scans and spreadsheets is slow, and hard to verify when an auditor arrives.
What can be built
What software and AI can take over here
02/02
01
Field and operations records
Mobile-friendly tools for logging field operations, inputs, machinery and staff hours offline, syncing when connectivity returns, and producing the complete treatment history that inspections and certification schemes ask you to provide.
40–50 hhours saved / month, typically
02
Machinery and sensor integration
Connectors that pull telematics, yield maps, weather station feeds and soil sensor readings from several vendor platforms into one database you own, ready for analysis, reporting and long-term comparison between seasons.
20–40 hhours saved / month, typically
03
Document and invoice processing
AI extraction of data from delivery notes, laboratory results, veterinary records and supplier invoices, turning stacks of scanned paperwork into structured records that feed your reporting without anyone typing them in twice.
30–40 hhours saved / month, typically
04
Subsidy and compliance reporting
Systems that assemble CAP application data, parcel declarations and cross-compliance evidence from your day-to-day operational records, flag missing or inconsistent items well before deadlines, and keep a complete audit trail intact.
10–30 hhours saved / month, typically
05
Traceability and batch tracking
Batch-level tracking from field to storage to buyer, linking origin, treatments, moisture and quality results, so a traceability request is answered in minutes from structured records rather than days of searching folders.
10–20 hhours saved / month, typically
Savings potential
What it saves, in numbers
Recording a field operation
Manual today15 min
With the solution2 min
85%faster
Preparing documents for a subsidy claim
Manual today20 h
With the solution4 h
80%faster
Processing invoices and delivery notes
Manual today40 min
With the solution6 min
85%faster
These are model estimates of what this kind of automation can do — not measured results from our own projects. We recalculate them on your real volumes and systems before anyone commits to anything.
Contact
Tell us what's slowing you down.
Tell us about your project, the bottleneck in your processes, or the legacy system you've outgrown. We're available 24/7 and we reply to messages promptly — with concrete next steps, no obligation and no sales theater.