Veidekke is among the companies that have made the most progress in using AI-driven invoice automation. Processing hundreds of thousands of invoices each year across complex construction and infrastructure projects throughout Scandinavia, the company has taken a deliberate, structured approach to modernizing its finance operations.
Behind the automation lies an extensive effort to clean up processes, build trust and ensure that the data can actually be used for better decisions. From left: Ole Martin Landsem and Endre Hansen in Veidekke Fellestjenester, Torhill Gysland Falnes, CEO of Eye-share, and Camilla Weber, Finance Manager in Veidekke Fellestjenester. Photo: Alexander Benjaminsen.
The challenge
Veidekke processes around 350,000 invoices annually across major construction and infrastructure projects throughout Scandinavia. Previously, much of the invoice flow required significant manual maintenance and oversight. Even though processes were digitized and rule-based, the finance team still had to manually review large portions of the flow.
The need for change was therefore not just about efficiency, but also about better cost control, higher quality, and faster insight.
In complex project businesses, an invoice is far more than just a basis for payment.
Invoice data can provide valuable insight into:
Cost development.
To unlock this potential, processes, data quality, and ways of working all had to be developed further.
The solution
With the help of eye-share, Veidekke has implemented AI-based accounting and automated approval workflows. Through structured master data, standardized processes, and a high rate of electronic invoicing, the company has built a foundation that allows AI to work effectively in practice.
Veidekke started with pilots in smaller companies before gradually rolling out the solution across the group. The AI in eye-share learns continuously from the data being processed, and suggestions that aren't quite right are corrected by the finance team, so the process improves over time.
For Veidekke, technology has been important, but structure and data quality have been absolutely critical.
"AI is an amplifier. If you have a good process, AI can deliver tremendous results. If you have a poor process and inconsistently structured data, it just amplifies the problems," says Camilla Weber, Finance and Accounting Manager at Veidekke Fellestjenester.
The results
Today, the majority of invoice flow moves automatically through the system with minimal manual involvement. Veidekke has achieved better quality and control, faster access to project data, and a stronger foundation for analysis and decision-making.
💡 The results from Veidekke
By automating large parts of the process, the finance function can spend less time on manual handling and more time on analysis, exception management, and business steering.
"We were used to reporting once a month. Now we have live data in eye-share that we can look at any time — and the faster the flow, the more accurate the accounting and the project follow-up," says Weber.
Veidekke also uses invoice data actively for analysis, forecasting, and sustainability reporting — including tracking CO₂ footprint and monitoring purchasing and contract prices.
For Veidekke, an invoice is therefore about far more than a basis for payment. Invoice data provides valuable insight into cost development, project progress, and business management across complex projects — giving a better foundation for forecasting, analysis, and decision-making, both in the finance function and out in the projects themselves.
Change management
For Veidekke, the journey has been about far more than technology. Building trust in the processes, training people across the organization, and establishing new ways of working have all been essential to success.
Introducing AI-based invoice workflows required close dialogue with project managers and business units across the country. The change journey was about building confidence, standardizing ways of working, and documenting that the processes actually delivered better control.
Today, Veidekke views this as the beginning of a broader modernization of the finance function — where automation, real-time data, and sharper insight will play an increasingly important role going forward.
Would you like to see how automated invoice management can strengthen control, reduce manual work and provide better insight into complex financial processes?