Automation Use Cases
This example demonstrates how AI-enabled automation can be used to streamline quoting for service-based businesses, using a system built and operated internally.
The challenge
Quoting often happens while on the move. Details are captured inconsistently, written down later, or re-entered manually, leading to delays, missed information, and inconsistent quotes.
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The Automation approach
​In this workflow:
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Job details are captured by voice
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Voice input is automatically transcribed and structured into defined fields
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Validation checks ensure required information is captured
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Quotes are generated from structured data rather than free-text notes
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Information flows directly into tracking and reporting systems without re-keying
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The outcome
​​Quoting becomes faster, more consistent, and easier to control. Information is captured once, structured correctly, and ready for reporting and follow-up without relying on memory or manual admin.
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Where this works best
​This type of automation is well suited to:
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Trades and field services
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Project-based businesses
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Any business quoting while away from a desk
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This example shows how AI enabled automation can be used to manage invoice approvals, classifications, and filing, using a system built and operated internally
The challenge
Invoices arriving by email are often manually reviewed, approved via ad-hoc messages, re-entered into spreadsheets or accounting software, and filed inconsistently. This creates delays, errors, and poor visibility over expenses.
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The Automation approach
​In this workflow:
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Supplier invoices arrive in a dedicated accounts inbox
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Invoices are routed automatically to a Microsoft Teams channel for approval
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Once approved, invoice content is read and classified using AI
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Key data is entered into a structured financial spreadsheet
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Expenses are allocated to the correct project or cost category
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The invoice is filed automatically in SharePoint with a full audit trail
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Data can also be passed into accounting software if required
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The outcome
Invoices are approved faster, classified consistently, and recorded accurately without manual re-entry. Financial data is structured, auditable, and ready for reporting across projects.
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Where this works best
This approach suits:
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SMBs with project-based expenses
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Teams needing clear approval controls
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Businesses wanting visibility without increasing admin​
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