Origami Effect analyzes your company and its processes, builds dedicated Excel tools that your employees already know — and Clio connects it all into one coherent data system.
A report is created only when someone finds the time to piece it together.
An invoice goes into one spreadsheet. The budget into another. Operational data into a third. To create a single report, someone has to manually collect, combine, and verify everything. Every month. From scratch.
At that moment, that person is creating zero value that wasn’t already present in the data.
How it is now
- Data lives in multiple Excels and employees’ heads
- Reports require manual assembly every month
- Training — employees spend weeks learning a new system
- No single source of truth for the management board
- Historical data is difficult to find
After implementation
- Employees work in Excel they already know – using a ready-made tool
- Clio captures data automatically upon approval
- Reports are generated based on schedules or events
- The board sees the current company performance without opening a file
- Full data history in one place
System Architecture
Four layers built from the ground up.
Each layer adds value that the previous one could not deliver on its own.
Analysis is always the starting point.
Layer 0: Analysis
Analysis of the company and its processes. Where data comes from, who needs it, and what decisions it should support. Only then is the architecture designed.
Layer 1: Excel Applications
Dedicated Excel tools tailored to every process. The employee receives a ready-made tool — no training needed.
Examples of tools: Gaia | Hebe | Echo | Demeter | Artemis
Layer 2: Clio
Data orchestration and collection. Clio captures data from all Excel applications, saves it to MongoDB, and automatically triggers reporting and alerts.
Layer 3: Iris
Interactive dashboard in React — launched when a recurring report is not enough. Data updates in real time, featuring an AI agent that answers questions.
How the implementation works
From process analysis to a working system.
Step 0 — Starting Point
Company and Process Analysis
- Understanding the company — where data comes from, who needs it, and what happens between an operational event and a report. Only this translates into system architecture.
- Working directly with the system creator, not a consultant who just read the documentation. Someone who understands both technology and business.
Step 1 – Operational Layer
Dedicated Excel applications – a ready tool for employees, not a training course
- Employees don’t spend three weeks learning a new system. They get a custom Excel tool tailored to their process — and start working immediately.
- Building dedicated Excel applications for each identified process.
Below are examples from implementations (showing the scope of possibilities, not a closed list):
Gaia
Registration of agrotechnical treatments, technical manufacturing costs, and PPP documentation for agriculture.
Hebe
Dairy and herd data — operational records for livestock production.
Echo
Registration of invoices and purchasing documents upon receipt, within the process context.
Themis
Multidimensional market analysis along with automation.
Artemis
Financial model and investment scenarios for real estate and projects.
Your process
If your process is not on the list — Origami Effect will build the right tool for it.
Step 2 – The Core of the System
Clio is a data orchestration system.
It captures data from all key Excel applications at the moment of approval and saves it into a central MongoDB database — in a structured form, with full context, available in real time.
The company starts gathering data and keeping it in one place. For the very first time.
Employee approves data in the Excel app
Gaia, Hebe, Echo — whatever applies to their process. An interface they already know.
Weekly payment digest
— every Monday at 7:00 AM, without anyone’s manual effort.
Project stage report
— when the stage is closed, not when someone finds the time.
Alerts go where the people are: WhatsApp, Slack, Teams, Discord, email.
- Invoice overdue by 3 days.
- Budget exceeded by more than the set threshold.
- Contract expiring in 60 days.
- Data that has not been submitted by the required deadline.
Optional — when a report is not enough
Step 3 – Iris — live visualization in React
Iris is launched when a recurring report is not enough — when the owner wants to see the state of the company at any given moment, not just on the day the report was sent out.
Iris is an interactive dashboard in React sitting directly on Clio’s MongoDB database. Data updates the moment an employee approves a spreadsheet. You can click on any number and drill down further.
The built-in AI agent answers questions in natural language — it doesn’t estimate, because the numbers have already been calculated by the system.
This is AI-ready — from day one
Data in MongoDB — cleaned, structured, consistent — is exactly the foundation an AI agent needs to operate without estimating.
Clio solves the problem of scattered data before any AI model is even introduced.
Who is it for
Anywhere reporting requires a human to glue spreadsheets together.
From implementations: agriculture and livestock production, real estate portfolio management, investment projects, service companies managing multiple projects simultaneously, organizations without ERP that need more advanced solutions.
If your industry is not on this list — drop us a line. If your data lives in Excels and employees’ heads, and a report is created only when someone finds the time, this is the right path.
Let’s start with an analysis.
Not with an offer, not with a quote.
With a conversation about how your processes work and what is stopping your data from connecting into a single picture.