With construction professionals and firms facing increasingly complex projects and operations, many are turning to automation and AI to help manage some of the administrative burden
In particular, AI is being adopted to help support financial planning, given its impact on decision-making, project efficiency, and risk analysis.
In this article, experts at Prophix outline how that shift enables construction finance teams to plan more reliably and in real time.
Moving from static budgets to dynamic forecasting
Finance teams that record data in manual spreadsheets and across fragmented silos risk developing budgets that don’t scale with fast-moving project conditions. With AI and automation, however, they have continuous access to and visibility of accurate cost-to-complete and committed costs information in real time.
With building costs rising cumulatively by 14% up to 2031, careful budgeting and forecasting management is critical. However, construction firms relying on traditional, manual financial records and forecasts risk viewing static snapshots that lose relevance.
AI reads, pulls, cleans, and organises data as it becomes available, flagging anomalies for analysts to review. AI tools designed for finance teams work within the data sources and guardrails finance sets, building on-demand forecasts as new figures arrive.
This dynamic forecasting model allows construction finance to make more confident budgeting decisions as projects evolve. For example, should an infrastructure project require more raw materials than expected, accountants can ask AI to break down current numbers and build a scenario in real time.
With this accurate, relevant forecast, construction projects can move ahead quickly with new materials allocated within budgeting constraints.
Connecting project operations with financial performance
With AI and automation, construction finance can connect daily operations directly to financial outcomes, automatically calculating profit impacts as they arise. This is especially helpful given that reports show as many as seven out of ten construction projects exceed their budgets. Connecting operations to financial data in real time closes the spend-to-budget gap that drives those overruns.
When relying on manual financial processes, there is a risk of discrepancies between accounting ledgers and field spend – entering data in spreadsheets and processing paper receipts creates limited visibility into committed costs and true project margins.
This is especially true as projects evolve and pick up pace. Without continuous reconciliation, overspend stays invisible until the money is already committed.
Finance automation, however, can read invoice and expense data as it is filed, automatically logging cash flow and matching it in the ledger. It can also post every order, equipment use, and timesheet allocation to the ledger, creating greater visibility over where a project stands financially.
Automation will even flag potential anomalies and discrepancies for construction finance to analyse as soon as they arise. For instance, if a purchase order fails to match a supplier invoice accurately, a flag is raised, and an analyst can investigate immediately.
Crucially, the outcome is more accurate. Now, project accountants always have eyes on financial performance as demands evolve.
Using predictive insights to manage construction risk
By augmenting financial forecasting with the right AI platform and guardrails, construction finance can mitigate risks by addressing relevant issues as and when they arise.
Traditional financial risk management is reactive and retrospective, meaning construction finance produces insights and forecasts that are hard to scale with changing project requirements.
Research indicates that as many as 86% of UK construction and property firms are “facing serious financial distress”. This shows us that finance teams across the industry are more focused than ever on reducing overspend and keeping their projects in the black, something AI and automation can directly support.
AI can scan datasets far larger than any team could review by hand, surfacing patterns while the numbers are still current. It can both scan historical project information and analyse current market trends to help boost budget accuracy and keep cash flow predictions dynamic.
Construction finance can also use AI to analyse supplier trends and performance to predict potential material shortages and future cost increases or decreases.
With access to vast datasets, AI can produce scores of hypothetical risk scenarios for construction firms that might normally rely on three basic models (positive, negative, and base case).
This all means finance can provide construction decision-makers with more proactive, accurate predictions and insights to support more confident and less risky budgeting choices. It also helps teams prepare for risks to project stability, thereby reducing the likelihood of negative impacts.
Reducing manual work and increasing planning agility
With AI, analysts and accountants can delegate repetitive, high-volume tasks to free up time for deeper strategy building and planning. For example, they may automate reconciliations, invoice matching, and anomaly detection, so that accountants and analysts only need to make decisions about specific discrepancies.
Research suggests that the UK tops the European leaderboard for time spent handling administrative tasks. Ricoh’s data tells us that UK workers spend close to a third of their working week on “non-core activities” – work that could be better delegated to AI. This is especially true for finance teams that continue to rely on manual data entry and matching.
By continuously pulling and matching data, AI enables construction finance to be more agile in planning for material costs, labour expenses, and potential budget overruns. Finance teams are in a stronger position to offer accurate advice to decision-makers, and with the time and effort saved by automating manual tasks, they can devote more time to higher-value, more meaningful work.
The net benefit here is that construction accountants and analysts have more freedom to use their skills and experience to positively steer the projects and firms they work with. They are no longer purely pulling and organising data.
This is augmentation in practice: AI handles repetitive workflows so that construction finance teams can lead with judgment and strategy. It amplifies their expertise rather than standing in for it.
AI is transforming financial planning – it’s time to get ahead
Crucially, any construction firm that embraces AI-driven financial planning will be better equipped than most to navigate the risks and complexities rife across the industry. AI-augmented finance allows teams to manage financial and project uncertainty with greater confidence and protect profitability while avoiding budget overspending.
What’s more, using the right AI tools and guardrails – fully set and checked by finance – also helps teams to encourage project and business growth. Clarity and accuracy are everything in an industry where budgets risk overrunning, and expenses are difficult to track with manual records.
Construction firms that are already using AI and automation in finance and planning functions are best positioned to navigate cost and service crunches in the years to come.
The post How AI and automation are changing financial planning in construction appeared first on Planning, Building & Construction Today.
