The ORBIT Framework

Our method for turning ambitious ideas into working AI products — explained without buzzwords.

ORBIT is our internal system: Outline → Research → Build → Integrate → Test. Every client project runs through it. It’s not a linear checklist — it’s a feedback loop designed to get working prototypes in your hands early, gather real feedback, and evolve fast.

If you’re not technical, don’t worry — we explain the tech decisions in normal English. The point isn’t to “do AI.” The point is to solve a problem faster and smarter.

O — Outline

We start by defining the outcome, not the features. What should success look like? What can fail? What matters most to your users or team?

What Happens Here

We write a one-page plan with clear goals, limits, and “done means this.”
We agree on what should stay human-approved vs automated.
We map every point where AI touches your workflow.

Why It Matters

This prevents the usual trap: months of development chasing vague ideas. You’ll know exactly what you’re getting, what it’s for, and how it will be measured.

R — Research

Once we know the goal, we research the landscape — your data, tools, and users. The aim is to find what’s already working, what’s broken, and what’s missing.

We Look At

Your existing data sources (emails, tickets, docs, APIs).
Where decisions slow down or rely on copy-paste work.
How your team currently answers questions or processes tasks.

Behind The Scenes

We run small model tests — think of them as auditions — to see which AI performs best for your case in terms of speed, accuracy, and cost.

Result

You’ll get a short “Research Snapshot”: what data we’ll use, what model fits best, and how the prototype will behave.

B — Build

We build in public — meaning you see it working early. We create a functional prototype, not a design mockup, so you can test ideas fast.

How We Build

We use a “graph” structure instead of a messy chain of prompts — it’s reliable, auditable, and easy to update.
Each step in the system has a clear input, output, and fallback if something goes wrong.
You can test the prototype through a simple web interface, no tech skills needed.

Why You’ll Like It

You see progress every few days. We don’t disappear for six weeks. You can click, test, and give feedback while we’re still building.

I — Integrate

Once the prototype works, we plug it into your real environment — without breaking what you already have.

Typical Integrations

CRM systems (like HubSpot, Salesforce).
Internal databases or spreadsheets.
Customer chat, email, or ticket systems.

Human-in-the-Loop

High-risk tasks always stay human-approved. The system can suggest actions — you still click “go”.

Security & Transparency

Every action is logged. Data stays in your control. We build with privacy and compliance from the start.

T — Test

Testing isn’t a checkbox at the end — it’s baked into every stage. We test accuracy, safety, and user experience before you ever go live.

Reality Checks

We simulate real user questions and watch how the system behaves. If it’s wrong, unclear, or too slow, it doesn’t ship.

Performance

We track speed, cost, and reliability — so you always know how much each AI call costs and how consistent it is.

Training & Handover

You get simple dashboards and short videos on how everything works. Your team can edit or retrain models without calling us every time.

No mystery. No jargon. Just working systems.

Send us your idea or bottleneck. We’ll map it to the ORBIT framework and give you a plain-English build plan within 48 hours.