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Melbourne, Australia

Automate the Work
Your Team Shouldn't
Be Doing.

We map your operations, find what's eating your team's time, and build automation that runs without anyone babysitting it — using the tools and platforms you already have.

Case Study

Cloud-Based Reporting &
Automated Business Tools

Using Microsoft 365 as a system back end for fully automated reporting and operational tooling — no IT infrastructure required, no capital expenditure, enterprise-grade security.

System Diagram
Microsoft 365 Automation System Diagram
Technologies Employed
  • Microsoft Flow / Power Automate Allows incoming data to be automatically ingested into the Microsoft 365 cloud without any manual steps. Triggers, approvals and multi-step flows run entirely in the background.
  • Power BI Fully automated and interactive reporting available in the cloud, with the highest levels of Microsoft security — no manual exports required.
  • SharePoint Used as both a user group management layer and a pseudo-database, with no IT implementation or capital expenditure required.
  • Power Query All ETL — Extract, Transform, Load — handled using Power Query and M language. Fully automated data clean-up and transformation with no manual steps.
  • Microsoft Teams Teams channel inboxes receive system email subscriptions and can also be used to manually ingest data, which is then automatically organised via Microsoft Flow.
Types of Automation

What We Automate

From simple trigger-based tasks to complex multi-system agentic workflows — we match the right automation approach to your actual problem, not a pre-packaged template.

Trigger-Based Workflow Automation

When X happens, Y runs automatically. No manual steps, no missed follow-ups, no human in the middle forwarding emails. From form submissions to file uploads to calendar events — if it has a trigger, it can be automated.

Power Automate Google AppScript Zapier Python

Agentic AI Workflows

AI agents that can reason, make decisions, and take actions across multiple systems — handling complex, unstructured tasks that traditional rule-based automation can't touch. Emails, documents, research, classification, drafting and more.

Claude API Gemini Python Vertex AI

API & Systems Integration

Your tools don't talk to each other — so your team does it manually. We build custom API integrations that connect your CRM, ERP, finance platform, databases and SaaS tools so data flows automatically across your entire stack.

REST APIs Python Webhooks Custom Middleware

Data Pipeline & Reporting Automation

ETL pipelines that pull, clean and transform your data on a schedule — feeding live dashboards with no manual exports, no stale spreadsheets, no one running reports at 5pm on a Friday.

BigQuery Power BI SQL Cloud Functions

Document & Email Automation

Auto-generate invoices, contracts and reports from templates. Route and classify incoming emails. Extract structured data from unstructured documents. Reduce the manual handling of information that flows through your business every day.

Google Workspace Microsoft 365 AI Extraction AppScript

Internal Web Apps & Tools

When a spreadsheet isn't cutting it but a full enterprise system is overkill — we rapidly prototype custom internal tools and Progressive Web Apps that give your team a proper interface for the work they do every day.

Vue.js Python PWA Cloud Hosting
Our Process

How We Approach an Automation Engagement

No lengthy requirements documents. No months-long discovery phases. We move fast, prove value early, and iterate.

Start with a Free Audit
1

Free Automation Audit

We start by understanding your business — your team, your tools, your biggest time-wasters. You fill in a short intake form, we analyse your workflows and send back a written report showing exactly what to automate and in what order of priority.

2

Workflow Discovery & Mapping

For engagements we move forward with, we do a deep As-Is process map — documenting every step, every tool, every handoff. This becomes the blueprint that tells us exactly where automation will have the most impact.

3

Rapid Prototype

We build a working prototype fast — usually within a week for simpler automations. You see it running against real data early, which means we can refine based on what actually matters rather than theoretical requirements.

4

Production Build & Handover

Once the prototype is validated, we harden it for production — error handling, monitoring, security, documentation. We also train your team so they understand what's running and can manage edge cases themselves.

5

Ongoing Support & Iteration

Automation isn't a set-and-forget. As your business changes, we're available to extend, adapt and improve what we've built — keeping it aligned with how your operations actually work.

Technology

The Tools We Use

We're tool-agnostic — we use whatever is the right fit for your tech stack and budget. These are the platforms and languages we work with most frequently.

Power Query

ETL, data clean-up and transformation using M language inside the Microsoft stack

Python

Custom scripts, API clients, data processing and AI integrations

Claude API

Anthropic's AI for agentic reasoning, document processing and classification

Power BI

Interactive dashboards and automated reporting ecosystems

BigQuery

Cloud-scale SQL data warehouse for large-scale ETL pipelines

Google AppScript

Deep Workspace automation — Sheets, Docs, Gmail and Forms

Power Automate

Microsoft 365 ecosystem automation and approval workflows

Vue.js & PWA

Lightweight internal web apps and Progressive Web Apps

Real Work

Automation We've Built

These are real projects delivered for real businesses — not theoretical examples.

Case Study 01

Fully Automated Financial Payment Architecture

The Problem

A clinical and telehealth support business was processing payments manually — matching remittances, reconciling accounts and updating records by hand. Error-prone, slow, and a constant source of stress for the finance team.

The Solution

Built an end-to-end automated payment processing workflow using Google AppScript, custom SQL and cloud functions. Unstructured incoming payment data was automatically parsed, matched and recorded — no manual intervention required.

Impact: Eliminated manual bottlenecks entirely. Processing time dropped from hours to minutes and real-time financial visibility was delivered to stakeholders.
Google AppScript Custom SQL Cloud Functions API Integration
Case Study 02

Autonomous Agent Workflows Across Procurement & Finance

The Problem

Cross-departmental data handling between Procurement and Finance required constant manual effort — copying information between systems, chasing approvals and reconciling records that should have been in sync.

The Solution

Architected secure system integrations and deployed agentic AI workflows to handle the complex, judgment-heavy tasks — with Human-in-the-Loop approval gates at critical decision points to maintain oversight and compliance.

Impact: Significant reduction in manual processing overhead across both departments, with full auditability maintained at every step.
Agentic AI Python Power Automate HITL Design
Case Study 03

Automated Data Pipelines & Live Executive Dashboards

The Problem

Disparate data schemas across business units meant no single source of truth. Executives were making decisions from stale, manually compiled reports — and no one had visibility into real-time KPI performance.

The Solution

Designed a Product Lifecycle Status framework to standardise data architecture, then engineered automated ETL pipelines using Advanced SQL and BigQuery. Power BI dashboards were connected to update automatically on schedule.

Impact: Real-time KPI tracking delivered to the full executive team — replacing a weekly manual reporting cycle with always-current dashboards.
BigQuery Advanced SQL Power BI ETL Pipelines
Case Study 04

Legacy File Migration to Cloud-Based Collaborative Tools

The Problem

Critical operational data lived in local spreadsheets and files — inaccessible to distributed teams, constantly out of date, and impossible to maintain at scale. Version conflicts were a daily occurrence.

The Solution

Rapidly prototyped a suite of internal Progressive Web Apps using Vue.js and Python to migrate the core workflows into live, cloud-hosted tools — with real-time data, proper access controls and a proper UI.

Impact: Distributed teams gained access to the same live data simultaneously. Version conflicts eliminated and team velocity measurably improved.
Vue.js Python PWA Cloud Hosting
★ Completely Free
Free AI & Automation Audit

We'll Find What to
Automate in Your
Business. No Charge.

Most businesses know they should be automating more — but don't know where to start or what's actually worth the effort. We analyse your workflows and send you a written report with specific, prioritised recommendations.

A written report mapping your top automation opportunities
Estimated time savings and ROI for each opportunity identified
Recommended tools matched to your existing tech stack
Honest assessment — no upsell pressure, no vague output
Request Your Free Audit
Location
Melbourne, Australia
Entity
AguilarTech Pty Ltd
How It Works
1

Fill In a Short Intake Form

Tell us about your business, your team size, the tools you currently use, and where you feel the most friction. Takes around 5 minutes.

2

Daniel Reviews Your Business

Using 15+ years of operational and technical experience, Daniel analyses your workflows and identifies the highest-value automation opportunities specific to your situation.

3

You Receive Your Audit Report

Within a few business days you get a written report — yours to keep. No obligation. If you want us to build it, great. If not, the insights are still yours.