The Stack You Already Own

Most businesses are sitting on a fully functional automation platform and don't know it. Google Workspace can run automated agents, parse documents, generate AI-drafted communications, manage multi-step workflows, and surface live business signals to a real-time dashboard.

The barrier isn't tech capability. I didn't have any when I started. All you need is process depth — understanding what your business actually does, step by step — and an AI model to tell you what to build. Everything else is already in your Google account, unused and underestimated.

"The infrastructure you need is probably already sitting in your Google account. The cost of fixing this is lower than you think. The cost of not fixing it compounds every week."

The Real Cost of Manual

What "we'll handle it manually" actually costs you

It doesn't look like a cost. It looks like work getting done. But trace the steps and the picture changes.

What manual operations actually look like

Someone exports data. Pastes it somewhere else. Formats it. Emails it.
Someone else reads it two days later and acts on numbers that are already stale.
An exception gets missed. A deadline slips. A payment goes out wrong.
Nothing talks to anything else.
Your sharpest people are doing data entry.
Every report is a one-off effort that disappears the moment it's sent.

This is not a people problem. Your people are capable. It's an infrastructure problem — and the infrastructure you need is probably already sitting in your Google account, unused and underestimated.

Use Case

Financial operations — the full cycle, automated

Any business that manages payouts, splits, or settlements across multiple parties knows the pain. Rate grids. Calculations. Deductions. Reconciliation. Statements. Disputes. The whole cycle done manually, every month, by someone who has better things to do.

We automated the entire cycle inside Google Workspace.

What the automated system does

Source data loaded once, reused every cycle — no re-entry, no copy-paste errors
Calculations run across the full dataset in a single trigger
Statutory adjustments applied automatically — no manual formulas, no lookup errors
Statements and payment documents generated and dispatched on schedule
Incoming documents parsed directly from PDF and reconciled against your own numbers
Every exception surfaced. Human approval before anything goes out.
Operator interface: a spreadsheet and a button. No training required.

The complexity lives in the engine. The interface stays simple. That's the point.

If your team manages any kind of multi-party financial settlement — commissions, referral fees, revenue splits, partner payouts — this pattern works for you. The domain changes. The architecture doesn't.

Use Case

Business intelligence — the briefing that runs itself

What if your business briefed you every morning without anyone preparing it?

We built that. Multiple AI agents running inside Google Workspace, each watching a different part of the operation simultaneously.

What each agent does

Reads its designated data source — costs, invoices, pipeline, capacity, activity
Sends the data to an AI model for interpretation
Writes a structured signal — OK, WARNING, or CRITICAL — to a central dashboard
Colour coded. One-click drill-down into the detail.
Runs on a schedule. Nobody triggers it. Nobody compiles it. Nobody formats it.

Drop a vendor invoice into a Drive folder and it's parsed and processed automatically. Update a row in a sheet and the dashboard reflects it in real time. Every Monday morning the infrastructure cost report runs without anyone asking it to.

Adding a new area to monitor means updating a row in a spreadsheet. Not writing code. Not calling a developer.

"Any organisation with more than a few moving parts is flying partially blind without something like this. The data exists. It just isn't connected, interpreted, or surfaced in time to act on it."

The Architecture

One Google account. One API key. Nothing else.

The insight isn't any individual tool. It's knowing how to wire them together so they behave as one coherent system rather than a collection of disconnected apps.

Google Sheets The data layer, the configuration store, and the operator interface. Everything the business needs to see or control lives in a sheet. No proprietary UI. No training required.

Google Drive Document ingestion, file-based triggers, and storage. Drop a file in a folder — the system picks it up, processes it, and moves on.

Gmail Automated communications — drafted by AI, reviewed by a human, dispatched on schedule. Nothing goes out unreviewed. Everything that should go automatically does.

Apps Script The engine. Runs the logic, connects every component, calls external APIs, and executes on triggers — time-based, file-based, or manual. This is where the intelligence lives.

Claude API Interpretation, narration, classification, and draft generation. Reads structured data and turns it into signals, summaries, and communications that a human can act on immediately.

The pattern Financial operations. Business intelligence. Compliance monitoring. People management. Operational command centres. The architecture is the same. The domain is wherever your manual work lives.

The Stack You Already Own

What "we'll handle it manually" actually costs you

Financial operations — the full cycle, automated

Business intelligence — the briefing that runs itself

One Google account. One API key. Nothing else.

The stack is already there. The question is whether you're using it.