Recent FP&A trends point in one direction: financial planning is moving from a closed annual exercise to a continuous process, connected to the rest of the business and supported by tools that automate the mechanical work. FP&A (financial planning and analysis) is the function that prepares budgets, forecasts and reports to help leadership decide. For a small or mid-sized company, knowing where the practice is heading helps prioritise investment and avoid falling behind. Below are eight trends visible in practice, why they matter and a first step for each.
Why FP&A trends matter for smaller companies
Large companies usually have dedicated planning teams; in an SME, planning falls to the finance director, the controller or even the managing director. That is exactly why practices that cut manual work and improve decisions have a bigger relative impact: every hour not spent consolidating spreadsheets is an hour available for analysis. The goal is not to adopt every trend at once, but to pick the ones that solve today’s problems.
1. Continuous planning and rolling forecasts
What it is: instead of an annual budget that is rarely revisited, the team updates forecasts monthly or quarterly and always keeps a fixed horizon ahead, for example 12 or 18 months.
Why it matters: shifts in demand, costs or financing hit smaller companies sooner and harder. An up-to-date forecast lets you react in time on cash and hiring.
First step: after each month-end close, update at least revenue, payroll and cash for the next 12 months. See how the process can be organised on our forecasting page.
2. Driver-based planning
What it is: modelling figures from the operational variables that generate them (number of customers, average price, orders per sales rep, billable hours) rather than growing each account by a generic rate on last year.
Why it matters: when a driver changes, the impact flows through the rest of the plan, and conversations with departments happen in their own language. A sales director relates to “ten new customers a month” far better than to an abstract uplift in revenue.
First step: identify the three to five drivers that explain most of your revenue and costs, and build the model around them before adding detail.
3. AI assistance with human oversight
What it is: assistants that explain variances, spot anomalies, answer questions about the data or draft reports, always with a person reviewing before anything is published.
Why it matters: in small teams, AI can absorb part of the repetitive work. But its answers must rest on your data and cite their source; otherwise the risk of plausible-looking errors is high.
First step: try it on a narrow, easily verified process such as monthly variance commentary. Tools like Aurora, OnePlan’s team of AI agents, are designed to work on a company’s own financial context.
4. Scenarios as routine, not only in a crisis
What it is: keeping several versions of the plan (base, cautious and ambitious) as a habit and reviewing them regularly, not just when something goes wrong.
Why it matters: prepared scenarios shorten reaction time. If you already know what you would do about a sales drop or a cost increase, the decision takes days rather than weeks.
First step: define a cautious scenario with two or three clear levers (sales, collection period, hiring) and decide in advance which measures you would trigger. Read more about scenario planning.
5. Connected planning: headcount, operations and finance
What it is: what some call xP&A, extending planning beyond finance so that headcount, sales, marketing and operations plans share assumptions and data with the financial plan.
Why it matters: in many SMEs payroll is one of the largest cost lines. If the hiring plan lives in an HR spreadsheet separate from the budget, gaps show up late and cost more to fix.
First step: link the headcount plan (joiners, leavers, salaries and start dates) to the payroll budget and review them together every month.
6. A single source of data and data governance
What it is: defining where each figure comes from, who can change it and how it is versioned, so everyone works from the same numbers.
Why it matters: arguments over which spreadsheet version is right waste time and erode trust. Any automation or AI also depends on a reliable base.
First step: document the mapping between your chart of accounts and the planning model, set a calendar for loading actuals and define permissions by department.
7. More narrative, more frequent board reporting
What it is: moving from table-heavy quarterly packs to shorter reports with a clear story of what happened, why and what is proposed, on a monthly cadence when the situation calls for it.
Why it matters: the board needs to decide, not decode tables. A good report reduces questions in the meeting and focuses debate on decisions.
First step: structure the report in three blocks: results against budget and forecast, risks and opportunities, and decisions requested from the board.
8. FP&A as a business partner
What it is: finance taking part in departmental decisions (pricing, hiring, investment) by bringing analysis, not just policing spend after the fact.
Why it matters: in an SME, the finance lead often understands the full economics of the business best. Having them in key conversations improves decisions.
First step: schedule a short monthly review with each department head to go over their part of the forecast and their upcoming decisions.
How to prioritise
You do not need to tackle everything. A sensible order for many SMEs:
- Clean up the data and set a single source of truth.
- Move from a static annual budget to a forecast updated after every close.
- Build the model on drivers and connect headcount.
- Add scenarios on a recurring basis.
- Bring in AI for specific tasks, with human review.
- Improve board reporting and strengthen the business-partner role.
Each step builds on the previous one: without reliable data, scenarios and AI lose value; without a living forecast, board reporting only ever looks backwards.
Common mistakes
- Buying a tool before defining the process it should support.
- Trying to model every account in full detail from month one.
- Handing AI decisions about assumptions that belong to management.
- Leaving departments out: if they do not take part, the forecast belongs to finance alone.
If you would like to see how these practices fit together in one platform, you can book a demo.