Curia insights

Where AI earns its place in finance.

Accounts payable

Why invoice exceptions change the business case

A small queue of difficult invoices can contain most of the human work. Follow the effort before choosing the software.

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Automation strategy

AI agents vs RPA: choose the right tool for the work

Where agents, conventional automation and human judgement belong—and how to test the complete process.

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Build or buy

Curia vs Microsoft Copilot for finance

Microsoft offers substantial finance and agent capabilities. Compare the work to deliver, the operating responsibility and the economics.

6 min readRead article
Build or buy

Building finance workflows in n8n: what are you taking on?

A working automation needs an operating owner. Examine the build, maintenance and control requirements behind the workflow canvas.

5 min readRead article
Automation strategy

Curia vs UiPath: choosing your approach to finance automation

Assess the platform, the delivery team and the process together. A practical comparison grounded in the technology you already have.

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Workflow economics

What does an AI finance workflow actually cost?

Model usage is one line in the budget. Work through implementation, retained human effort, operating costs and the assumptions that change payback.

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Accounts payable

Your AP automation rate may be hiding the real workload

A higher automation percentage can coexist with a busier team. Measure the effort, waiting time and repeat causes in the remaining queue.

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Accounts payable

Can AI resolve invoice exceptions without weakening controls?

Follow a partial delivery through evidence gathering, approval and recovery. Define what the workflow can do and when a person must decide.

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Cash and receivables

Cash application: where matching rules stop being enough

Resolve unclear remittances and short payments with evidence. Keep matching accuracy, operating effort and cash collection distinct.

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Financial close

A faster month-end close starts before month-end

Trace the evidence and decisions that hold up completion. Target the dependency that determines the finish date and measure the work moved earlier.

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Controls and governance

Before an AI agent touches your ERP

Define permissions, approval authority and evidence before granting access. Test the controls against real transaction failures.

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Implementation

From AI pilot to production: what finance should prove

A successful demonstration is the starting point. Build the test population, acceptance scorecard and operating plan for a production decision.

6 min readRead article

From reading to doing

What would this mean
for your finance team?

Bring one workflow. We will help you assess where the value sits and what is worth proving.

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