Your Data, Connected, Cleaned and Ready for AI — Automatically.

Most AI projects stall on the data, not the AI. This automation pulls records from the systems you already run, fixes the formats and duplicates, and delivers one clean, current dataset every day — the foundation every other automation on this site depends on.

Pre-built AI Automation · Live in about 1 month. The fix for 'our data isn't ready'.

In a complimentary 60-minute consultation, you'll get:

Which systems and spreadsheets hold the data you need
What 'clean' has to mean for your first AI use case
Where the data should live so every automation can use it

Book Free Consultation

What This Automation Does

From Scattered Sources to One Reliable Dataset

Invoices in the accounting system, customers in the CRM, stock in a spreadsheet, bookings in a booking tool — every business runs on data spread across systems that were never designed to talk to each other. That is the single most common reason a ready-made AI automation cannot simply be switched on.

This is one pre-built automation with a fixed scope — it moves, cleans and organises the data, and leaves the business logic to the automations that sit on top of it:

How the data pipeline works: your systems flow into cleaning and validation, then into one clean dataset that feeds AI agents, automations and reports

✓

Source connectors

Pulls from ERP, CRM, accounting tools, POS, spreadsheets, databases and APIs — Odoo, Xero, HubSpot, Google Sheets and more.

✓

Cleaning & standardisation

Fixes dates, currencies, names and codes into one consistent format; removes duplicates and obvious errors.

✓

Validation & quality checks

Every run checks completeness and consistency, and flags anything that fails before it reaches your reports or AI.

✓

Scheduled loading

Delivers the clean dataset to a database or warehouse you own, on a schedule — hourly, daily, or on demand.

✓

Monitoring & lineage

Alerts when a source changes or a run fails, and records where every field came from for audit and troubleshooting.

Outcomes

What Data Pipeline Automation Delivers

The payoff shows up in every report and every automation that runs on the data — usually within the first scheduled run.

Source of Truth

Every team and every automation reads from the same clean, current dataset instead of five conflicting copies.

Hours → Min

Manual Data Prep

The exporting, copy-pasting and reformatting that used to eat the start of every week runs on its own.

100%

Runs Checked

Automated quality checks on every load — missing fields, broken formats and duplicates are caught before anyone acts on them.

Full

Data Lineage

You can trace any number in any report back to the system and record it came from — which auditors and grant assessors ask for.

Once the pipeline is running, every other pre-built automation becomes a much shorter project, because the data it needs is already clean and already flowing. This is the automation we most often recommend first.

Check Your Data ReadinessComplimentary 60-minute consultation. No commitment required.

Timeline

Deployed Within 1 Month

Scoping (Week 1)

Inventory your data sources, agree the target dataset, and define what 'clean' means for the first use case.

Connectors (Week 2)

Connect each source, set up the cleaning and standardisation rules, and choose where the data will live.

Validation (Week 3)

Run the full pipeline on real data, review the quality reports with your team, and tune the checks.

Go Live (Week 4)

Switch on the schedule and alerts, hand over the dashboard, and monitor the first week of runs.

Simple, Honest Pricing

Three Ways to Work With Us

Start with a fixed, ready-to-deploy automation — and grow into a fully custom build only if you need to.

📦

Pre-Built AI Automation

A fixed, ready-to-deploy automation — exactly what's described on this page. Live in about a month.

📊

+ Live Dashboard

Add a real-time dashboard to track and report what the automation is doing. An optional add-on.

🛠

Customized Agent

Need it tailored to your systems, or a workflow beyond this scope? We build a custom AI agent, priced to your project.

Book a Free Consultation

FAQ

Frequently Asked Questions

Source connectors, cleaning and standardisation rules, validation checks, scheduled loading into a database or warehouse you own, and monitoring with alerts and lineage. It's a fixed scope — bespoke transformations, real-time streaming or large migrations are handled as a Customized Agent or a data engineering engagement.

That is exactly the situation it's built for. Messy sources are normal; the pipeline's cleaning and de-duplication rules exist because of them. Where the problems run deeper — no history, conflicting master records, no system of record at all — our data engineering services put the foundation in place first, and the pipeline then keeps it clean.

No. The pipeline can load into a simple managed database we set up for you, and it runs unattended. If you already have a warehouse or a data team, it plugs into what you have.

Common ERP, accounting, CRM, POS and HR tools, spreadsheets, databases and anything with an API — Odoo, Xero, QuickBooks, HubSpot, Google Sheets and more. We confirm the exact list during scoping.

Yes. The dataset lives in infrastructure you own or that we host for you in a Singapore region, with access controls, encryption and an audit log. The design follows PDPA requirements, and we document the data flows for your records.

Real-time streaming, complex modelling and large historical migrations sit outside the fixed scope and are delivered as a data engineering engagement, priced to your project. The pipeline is usually the first step either way.