AI in Interiorsaping: Innovation With Integrity at One Big Green

Artificial intelligence has reached a point where ignoring it would be like ignoring a spathiphyllum begging for water: technically possible, but not very wise.

Modern AI models are powerful, imaginative, and capable of unlocking value in ways that were science fiction just a short while ago.

Used well, they can bring interiorscapers, plant-care teams, and field-service operators smoother processes, faster answers, and tools that simply didn’t exist before.

But there’s a catch - and it’s an important one.

At One Big Green, we work with customers who operate in a data-sensitive world.

Financial records, client portfolios, operational insights… this isn’t the kind of information anyone would want drifting into the wrong hands.

So while we’re excited about what AI can do, we’re equally committed to protecting the trust our customers place in us.

That means being transparent from day one about where we use AI, what data it sees, and what stays locked behind a vault door we guard with our lives (and plenty of encryption).

Below is the current blueprint of how AI lives inside One Big Green, both in our product and in our company.

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Where AI Helps Us Deliver More Value

1. Instant, reliable product tutorials & support

We train AI on everything our product can do, plus the most common technical questions our customers encounter.

This enables:

• faster answers in pretty much any language

• 24/7 availability

• an always-up-to-date knowledge base

Think of it as a super-powered support librarian who never sleeps.

But don’t worry: humans are still reviewing support logs, quality-checking responses, and keeping everything on track. AI is the engine, but people still steer the car.

2. Helping us educate the market at scale

One of our core missions is to show interiorscapers and plant-service companies what digitally assisted operations can unlock. AI allows our marketing team to:

• produce more polished content

• communicate complex value clearly

• quadruple output without quadrupling stress

Still, humans remain the final editors, strategists, and decision-makers.

AI gives us speed, but the message always goes through a human sanity-check (and the occasional eyebrow-raise).

3. Exploring new product ideas and integrations

Sometimes innovation starts with a quick “what if?”

AI is an incredibly useful sparring partner for evaluating:

• feasibility

• customer value

• possible technical approaches

• rough development timelines

This helps us think faster and more boldly, while anchoring everything in practicality.

4. Emerging AI features inside the product

We’re gradually exploring “fractional” AI capabilities that can enhance the product without ever touching sensitive customer data unless absolutely necessary and fully controlled.

Some examples under exploration:

• image recognition to speed up adding new accounts

• auto-estimations of service time based on plant sets

• suggestions for replacements

These use cases are tightly scoped, carefully curated, and highly supervised.

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Where We Draw a Hard Line

1. Our codebase is 100% human-written

Yes, AI can write code. And yes, some of it is impressively good.

But our product is mission-critical software. Reliability, consistency, and full transparency in how features work are non-negotiable.

For now (and the foreseeable future), our engineering team writes every line of code manually - because we want to know our system inside out and guarantee its quality end-to-end.

2. Sensitive customer information stays off-limits

We’ve created a clear boundary between:

• what AI models are allowed to see (public product info, documentation, and controlled datasets that never include any sensitive information of our customers

• what is strictly prohibited (anything behind authentication: customer data, financial data, operational details)

The only exceptions are extremely limited, highly supervised cases like image recognition, and even those involve carefully filtered data, never raw account information.

We treat customer data like an irreplaceable, rare orchid: beautiful, valuable, and absolutely not something we’d ever hand to an unpredictable external force.

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Transparency Over Hype

With all the excitement around AI, it’s easy to get swept away by what it can do in five seconds and forget to ask where your data ends up.

Many cutting-edge tools don’t exactly advertise how their models are trained or where the inputs go.

We choose a different path.

As One Big Green, we believe our responsibility goes beyond building powerful features.

We have a duty to protect sensitive data, communicate openly, and follow a strict policy that defines how AI can and cannot be used within our ecosystem.

This is not just an internal rulebook. It’s a promise we plan to honour religiously as we continue building the future of plant-service operations.

If you want to dive deeper into the specifics, you can read our full AI Usage Policy here.