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AI IMPLEMENTATION FOR AGRICULTURAL BUSINESSES

Put AI to work across your business.

We help your company identify where AI can create value, integrate it into existing systems and processes, and prepare your teams to use it in their daily work.

For fruit and vegetable producers, agricultural groups, cooperatives, packers and exporters.

Discuss your AI roadmapExplore the business opportunities
Stylised mango trees growing from a small sapling to a mature tree bearing ripe fruit.
From the field to the business decision.Connect the company around the work that matters.
01A shared direction
02Connected processes
03Teams ready to adopt

Business opportunities

Where could AI improve business performance?

Look beyond isolated tools. Identify where information, decisions and handovers slow the business down, then connect the relevant teams and processes.

01 / 05

Operations: connect planning and execution.

Bring order, availability, packing and dispatch information together. Use AI to surface exceptions and prepare coordinated actions for the teams involved.

Better visibility across the process, with clear ownership of exceptions.

Discuss this priority
Illustrative exampleselva.

Order readiness

FR 024 · Citrus · Week 42

Ordered20 pallets
Packing confirmed18 pallets
Still to confirm2 pallets
Before dispatch

Confirm the remaining volume and the carrier slot.

Sources: order file, packing plan and transport update.

Demonstration data

02 / 05

Commercial: coordinate the customer lifecycle.

Connect product information, buyer requirements, quotations and account history so sales and operations work from consistent context.

More consistent commercial responses and a clearer handover into fulfilment.

Discuss this priority
Illustrative exampleselva.

From buyer request to fulfilment

One shared commercial brief

01
Buyer requirements

Grade I citrus · 20 pallets

02
Commercial review

Terms and specifications checked

03
Operations handover

Confirm volume and dispatch date

Approval before commitment

Sales and operations confirm the proposal together.

Demonstration data

03 / 05

Finance: strengthen control across transactions.

Compare order, delivery and invoice records, flag discrepancies and prepare receivables reviews with finance and operations.

A shared exception process and financial information ready for review.

Discuss this priority
Illustrative exampleselva.

Transaction control

Purchase order → delivery → invoice

Invoiced120 crates
Delivered100 crates
Difference to review20 crates

Check the source documents before approval.

Sources: invoice and signed delivery record.

Demonstration data

04 / 05

Knowledge: make company information usable.

Organise approved procedures, specifications and certificates so teams can retrieve relevant information with sources and access appropriate to their role.

A common knowledge foundation across departments and locations.

Discuss this priority
Illustrative exampleselva.

Company knowledge

Find the approved answer. See the source.

Which requirements apply to this buyer?

Product specificationApproved version
Quality certificateReview expiry date
Customer requirementsCommercial owner

Access follows the person’s role.

Demonstration data

05 / 05

Leadership: turn company data into decisions.

Combine agreed operational and financial sources into management reporting that highlights performance, exceptions and questions for the leadership team.

A consistent view of business performance, with traceable sources.

Discuss this priority
Illustrative exampleselva.

Leadership brief

One view across the business

AreaSignalNext decision
CommercialForecast readyConfirm priorities
OperationsCapacity to validateReview packing plan
FinanceCost data incompleteAssign data owner
Leadership focus

Resolve the data and capacity gaps before expanding the pilot.

Demonstration data

Examples of outputs we could design with your teams. The actual scope depends on your systems and information.

Every implementation has defined owners, data access and review responsibilities. Your teams retain approval of commercial, financial and agronomic decisions.

Implementation approach

A plan for the company. Delivery in clear stages.

Illustrative implementation plan
01Business priorities

Value · readiness · ownership

02Process design

Data · integration · review

03Adoption and scale

Training · measurement · next phase

01

Assess and prioritise

Work with leadership and departmental owners to map opportunities, data readiness and dependencies. Prioritise by business value, feasibility and implementation effort.

What you getAn AI roadmap with priorities, accountable owners and success measures.
02

Implement a priority process

Design and test a workflow across the relevant teams and systems. Agree the technical scope, required expertise, access controls and review points before delivery.

What you getA scoped pilot tested against the current process and agreed business objectives.
03

Build adoption and expand

Train the teams, document governance and operating responsibilities, and assess results and full costs. Use that evidence to decide where to expand next.

What you getAn adoption plan, support model and evidence for the next investment.

We work with your leadership, operational teams and IT partners. Delivery expertise, integrations, timing and the full cost are confirmed for each phase.

Gabriella Araújo, founder of Selva Studio

Gabriella AraújoFounder, Selva Studio

About us

Meet the founder of Selva.

Selva was founded by Gabriella Araújo to help companies apply AI to their business processes and prepare their teams to use it.

Gabriella spent nine years at Google in product and growth marketing, working on Pixel, Android and solutions for small and medium businesses. Her work brought together product, data and user experience teams to launch technology and help people adopt it.

9 years at GoogleProduct marketing, growth and technology adoption
AI FluencyAnthropic certification

At Selva, that experience informs how we assess the business, choose implementation priorities and support the people who will use the solutions.

View Gabriella’s professional background

First pilot

Validate the first investment. Build the path to scale.

Start with a paid pilot on a priority business process. Keep the company wide roadmap in view while testing the data, integrations and ways of working needed for broader adoption.

  • An executive sponsor and accountable departmental owners
  • A baseline and agreed measures of time, quality, adoption and operating cost
  • A tested process and a recommendation for the next phase

The decision to expand is based on evidence from your business.

Discuss your AI roadmap

Before we start.

Can this work across a larger organisation?

We start with the company structure, departmental owners, existing systems and IT requirements. The roadmap can span departments and locations; each delivery phase has a defined scope, resources and decision gate.

Will we need to replace our existing systems?

We assess your current systems and data first. The roadmap identifies which tools can be retained, what integrations are feasible and where additional technical expertise or development is required.

How do you address governance and adoption?

We agree data access, approved providers, human review, responsibilities and success measures before using live data. Training and change management are part of the implementation plan, alongside the technology.

SELVA STUDIO

Where should AI create value in your company?

Tell us your business priority and where you are with AI. We will discuss a practical roadmap and a first pilot aligned with your organisation.

Prepare my implementation enquiry

Or email us directly
info@theselvastudio.com