Quoting workflows
Estimator-friendly tools that turn job details into prices while the customer is still in front of you.
Brisbane based. Built for growing Australian businesses.
I personally sit with your staff, understand how they actually work day to day, then build practical automations around your existing systems. The goal is simple: save admin hours, speed up quoting and reporting, and help the business grow without adding office overhead.
Best for owner-led businesses where quoting, reporting, approvals, follow-ups and system gaps are quietly eating the week.
Office workflow audit
Quotes rebuilt by hand from notes, emails and spreadsheets
The same customer or job data typed into multiple systems
Reports prepared manually before every meeting
Approvals, follow-ups and reminders stuck in inboxes
15-25 hrs/week
Admin hours saved
Faster turnaround
Approvals and quotes
Less double entry
Manual handoffs
The real problem
Most growing businesses do not have one huge automation problem. They have twenty small manual steps repeated every day. That is where the money leaks out.
Office headcount keeps growing every time the field team grows
Jobs slow down because the next person is waiting for an email, spreadsheet or approval
The owner is still the person everyone asks for the latest number
Good staff spend too much time copying, checking and chasing
Systems like Xero, ServiceM8, Microsoft 365, monday.com and CRMs all hold part of the truth
Small errors in quoting, job setup or invoicing create rework nobody has time for
What changes
Estimator-friendly tools that turn job details into prices while the customer is still in front of you.
Connect Xero, ServiceM8, Microsoft 365, monday.com, CRMs, dashboards and custom job systems.
Daily numbers, stuck jobs, overdue actions and team workload visible without chasing spreadsheets.
Use AI where it helps: intake, summaries, quoting support, document handling and triage with human checks.
The fastest wins are usually boring. That is good news, because boring work is easier to remove and easier to measure.
Quote requests, site notes and photos into structured job records
Approval flows for purchases, variations, invoices and job changes
Daily or weekly reports delivered automatically to owners and managers
Customer follow-ups, reminders and internal task handovers
Spreadsheet clean-up, consolidation and replacement with simple apps
Document generation for quotes, job packs, forms and operational summaries
Two-way integrations between trade, finance, CRM and productivity systems
Power BI, Excel or dashboard reporting that stays current without manual exports
How it works
This is not generic AI advice. It is business process automation built beside the people who use it, with care for live customer and financial data.
I sit with admin, estimating, supervisors or finance and map what actually happens, not what the process chart says happens.
We choose the manual process with the clearest cost: hours wasted, slow turnaround, double entry, errors or owner dependency.
I connect the existing tools first, then add scripts, dashboards, workflow automations or AI support only where they make sense.
Real users try it on real work. We fix the rough edges, document it and make sure it can run without babysitting.
The outcome is tracked in business terms: hours saved, faster quoting, fewer handoffs, fewer errors or better visibility.
Built examples

Business Central, Python, OneDrive, Azure and Power BI reports running twice daily with retries and alerts.

Replaced email and spreadsheet quoting with secure customer links, structured inputs and automated follow-up.

HubSpot, API validation and Azure reporting joined into a cleaner revenue operations workflow.
Click to expand
Short proof first. Details only when a buyer wants to dig in.
Automated a recurring operational reporting process that previously depended on manual exports and checks.
Before
Reports had to be prepared, refreshed, checked and distributed by people. If a file failed or data looked wrong, the team had to notice it manually.
Built
A scheduled reporting pipeline across Business Central, Python, OneDrive, Azure and Power BI, with twice-daily runs, retry logic, logs and alerts.
Hours saved
Saved hours every week by removing repeated report preparation and manual checking. It also reduced the risk of missed reports because failures became visible automatically.
Turned an email-and-spreadsheet quoting workflow into a structured customer intake and quoting process.
Before
Quote details moved through emails, attachments and spreadsheets. Staff spent time chasing missing information, retyping details and keeping track of quote status.
Built
A secure quotation portal with signed customer links, OTP access, structured forms, SharePoint/Azure storage fallback and automated email follow-up.
Hours saved
Saved admin and estimator time by collecting the right information once, reducing back-and-forth emails, and keeping the quote workflow visible.
Connected CRM data into a cleaner reporting workflow so revenue numbers were easier to trust and use.
Before
CRM and reporting data needed manual review, export handling and validation before managers could rely on it for decisions.
Built
An API-based workflow using HubSpot, data validation and Azure reporting so revenue data moved into the right structure automatically.
Hours saved
Saved weekly checking and reporting effort by catching data issues earlier and reducing manual movement between CRM and reporting tools.
We agree on a clear result before the build starts: hours saved, faster quote turnaround, fewer manual handoffs, reports automated, or lower admin workload. My fee can be tied to that outcome.
The first conversation is simple: show me one process your team hates doing, and I will tell you whether it is worth automating.
Remove repeated typing, copying, exporting and chasing.
Get from enquiry to price faster, ideally while the customer is still engaged.
Owners and managers see what is stuck, late, profitable or overloaded.
Standardise handoffs and keep customer, job and finance data cleaner.
Brisbane and Australian SMEs with enough office work that manual process is now limiting growth, but not so much bureaucracy that change takes twelve months.