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AI & Automation Finance Operations Case Study

AI-Powered
Project Budgeting
& Expense Automation

A high-volume production company used an AI expense agent and integrations to connect CRM, project tools, spreadsheets and accounting. The result: faster reconciliation, less manual data entry and cleaner finance data for every project.

AI-powered project budgeting and expense automation workflow diagram showing connections between ClickUp, HubSpot, Google Sheets, Xero, and the AI agent
Seconds
for producers to submit project expenses using the AI agent, from tools they already use.
Zero
double-entry into spreadsheets and accounting systems for project expenses.
Real-time
visibility of project spend as budgets update automatically when expenses are submitted.

Challenge

Producers manually entered expenses into the accounting system, budgets and reconciliations lived in spreadsheets, and project context sat in a separate work management tool. Supplier names were inconsistent, costs were misallocated, and finance had to chase and clean data before any reporting could happen.

Approach

Rather than replacing tools, an AI-driven automation layer was designed over the existing stack. A custom AI Super Agent, "Andy", was built to handle expense intake from producers, while webhooks and integrations connected CRM, project tools, spreadsheets, and accounting into a single synchronised pipeline.

Outcome

Producers now submit expenses in seconds from tools they already use. Finance gets clean, consistently named data pushed automatically to both the budget spreadsheet and the accounting system. Reconciliation is real-time, manual entry is eliminated, and the system scales with production volume.

The Problem

A high-volume video production company managing dozens of projects at any point in time was struggling to keep on top of project costs and financial visibility. Budgets, suppliers and approvals were spread across a CRM, project management tools, shared spreadsheets, accounting software and internal chat.

Producers manually entered project expenses into the accounting system while budgets and reconciliations lived in separate spreadsheets, and project context sat in a different tool again. Supplier names and coding were inconsistent, finance had to chase information, and reporting was often delayed.

They didn't want yet another system. They wanted a single, reliable way for people to submit expenses, and for those expenses to flow automatically into their existing tools.

Before state diagram showing fragmented business tools, CRM, project management, spreadsheets, and accounting, with manual handoffs between each system

Before: fragmented finance workflows spread across CRM, project tools, spreadsheets, and accounting, with producers and finance both doing manual entry.

The Approach

Rather than replacing tools, an AI-driven automation layer was built over the client's existing stack. At the centre is an AI expense agent that acts as the single front door for project expenses, with integrations keeping the CRM, project tools, spreadsheets and accounting software in sync.

"Andy", an AI Super Agent for expenses

Producers can now submit expenses in two simple ways: by sending a direct message to the AI agent with invoices or receipts attached, or by filling out a guided online expense form. In both cases they choose the expense type, such as reimbursement, company card or unpaid, and link the relevant project or budget line item.

The AI agent reads each file, extracts key details like supplier, total amount including tax (in AUD), a short description and an expense ID, and maps the expense to the right project and line item. It then creates or updates the corresponding records in the project/work management tool and sends a clear summary back to the user for confirmation. If information is missing, the agent asks follow-up questions instead of guessing.

The integration layer: connecting CRM, spreadsheets and accounting

When a new deal is created in the CRM, a templated budget spreadsheet is automatically generated and linked to that deal. When the deal is won, the same budget is linked to the related project, creating a consistent starting point for every job.

As expenses are processed by the AI agent, automations group them by line item and push live totals into the linked budget spreadsheet. Multiple small expenses, such as parking receipts, are automatically bucketed together so the budget stays readable and easy to reconcile.

At the same time, each expense is sent into the accounting system. The selected expense type controls how it is treated (for example reimbursement, company card payment or unpaid/AP), and every entry is tagged to the correct project, line item, supplier and value using consistent naming.

In short, the AI agent provides a simple experience for producers, while the integration layer keeps all the underlying systems aligned.

Tech stack

CRM Project/work management Google Sheets Xero (accounting) Custom AI agent & integrations
After state diagram showing the AI agent Andy as the central intake point, with automated pipelines flowing to ClickUp, Google Sheets, and Xero

After: the AI agent handles intake, extracts structured data, and pushes it through automated pipelines to every system, no manual entry required.

The Results

After implementing the AI expense agent and integration layer, the client's finance workflow became faster, cleaner and more reliable.

Producers now submit invoices in seconds from tools they already use, without logging into the accounting system or updating spreadsheets. Finance teams no longer re-key the same data, and supplier names, project codes and line items stay consistent across CRM, project tools, spreadsheets and accounting.

Budget spreadsheets update as expenses are submitted, giving near real-time visibility of project spend and helping finance spot overspend or underspend earlier. Reconciliation cycles are shorter, and there is less back-and-forth to fix errors or find missing information.

Most importantly, the AI agent acts as a friendly, single touchpoint sitting over a complex stack, so the team feels like they are working in one joined-up system rather than several disconnected tools.

Results dashboard showing automated expense pipeline metrics and reconciliation data flowing between systems

The automated pipeline turns producer-submitted expenses into reconciled accounting entries without finance touching a single spreadsheet cell.

How this connects to the services offered

Custom AI agents like this are part of the services offered:

If your organisation is still relying on manual expense entry and scattered spreadsheets, the same pattern can be tailored to your tools, team structure and finance processes.

Next steps

Ready to put AI to work on your finance stack?

If your team is copying the same numbers between a CRM, spreadsheet, project tool and accounting system, a custom AI agent and automation layer can remove a huge amount of admin. Let's have a 30-minute discovery call to look at your current tech stack, see where you are losing time, and figure out if a custom AI automation build is actually the right move for your business.

Book a discovery call

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