AI Workmates | Real Examples - See AI Automation in Action

Service Categories

NDIS Invoicing & Payroll

The problem:

NDIS provider was spending weekends manually checking employee timesheets, validating hours, and generating invoices due to the limitations of their CRM. The process was tedious, error prone, and resulted in increased billing disputes and payroll queries.

The solution:

A system that pulls timesheet data from multiple sources, validates hours against system records, flags discrepancies for review, generates invoices automatically, then syncs everything to Xero.

Ran every weekend ready for review Monday mornings.

The result:

4 hrs weekly

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15 minutes

Significant reduction in operational errors, led to:
- reduced billing & payroll queries
- increased client satisfaction
Weekends free'd up.

Tools Used: Task Agent, Google Sheets, Microsoft Excel, Xero APIs

Your data entry. On autopilot.

Workflow diagram comparing a manual task-processing process with an AI-assisted process. The current process shows an email received, manual document checks, determining if a document was missed, manual data entry, checking for operator error, and a secondary review. The AI-assisted process shows an email received, automatic detection of attachments, AI extracting content, and a script automatically populating data to complete the task, with manual review only triggered if an error is detected.

Data Entry

The problem:

Mortgage broker processes multiple documents for each loan applicant. Processing a single document took ~15 minutes. Volumes continued to grow and so did the operational errors.

The solution:

Monitor the inflow of documents, extracts data from relevant documents, and populates their CRM automatically hands free.

The result:

4.5 hrs reclaimed weekly.
Data entry task eliminated.
Built to handle 10x volume with no changes required.

Every call answered. Every lead captured.

Workflow diagram comparing a manual call-handling process with an AI-assisted virtual receptionist process. The current process shows calls coming in, high volume without filtering, determining call type, lack of prioritization, time spent on non-urgent tasks, missed calls and lost leads, leading to poor outcomes. The AI-assisted process shows calls entering a numbered IVR menu, an AI agent verifying the call, checking if the request is urgent, then either transferring the caller to staff or scheduling a callback, resulting in the issue being resolved.

Virtual Receptionist (NDIS)

The problem:

An NDIS provider receives a high volume of calls daily, no categorisation or prioritisation.
Staff can spend time on password resets while leads are sent to voicemail.
Missed call information often lost entirely.

The solution:

Voice agent screens every incoming call, categorises the caller and takes action:
- New leads are qualified and transferred
- Existing clients are routed directly to servicing
- Staff queries are answered automatically via email through a verified line
- Marketing calls are filtered for callback

The result:

8.5 hrs reclaimed weekly.
Operators now servicing only high value tasks.
100% of missed calls captured and prioritised for callback.

Demo is for the New Clients line only, each line contains its own agent (existing clients, staff, emergencies, etc.)

Your processes. Your workflows. Connected.

Workflow diagram comparing a manual support process with an AI-assisted process. The manual flow includes receiving a request, manually locating and searching documents, writing a reply, and sending it to staff. The AI-assisted flow captures the email request, searches a document repository, drafts a contextual reply, and sends it after employee review.

Customer Support

The problem:

Manual customer support is time consuming, especially if documentation & SOPs are full of images.
Answering basic "how-to" questions and repetitive copy pasting is time consuming.

The solution:

All incoming requests filter through an AI agent to respond with contextually relevant images.
The result is to either auto-respond or draft replies for review depending on complexity.

The result:

Email support focuses only on complex issues.