🧠Overview
This guide explains how to run a repeatable capital budgeting process using Tally actuals as the baseline and Model Reef as the analysis layer. It’s designed for finance teams and operators evaluating capex, new hires, tooling, store rollouts, or any initiative that needs a clear “invest → return” story. You’ll set up inputs, build a project budget template, stress-test outcomes, and track budget variance after approval. If you’re building the broader planning foundation (budgets, forecasts, and scenarios) alongside project work, start with Tally budgeting and forecasting.
🤝 How Model Reef + Tally Fit Together
Tally holds the truth of what happened: historic spend, payroll, supplier costs, revenue, and the balance sheet position you’re investing from. Model Reef holds the truth of what you’re deciding: investment cases, scenario ranges, payback timing, and the assumptions behind them. The hand-off is simple-export actuals from Tally, then build structured project cases in Model Reef that connect to your real cost base and operating constraints. This is especially useful when stakeholders ask what is capital budgeting in practical terms: it’s the decision discipline that turns “good ideas” into funded projects with measurable outcomes. If you want a side-by-side view of which tool should own which job, Model Reef vs Tally – accounting vs planning (budgets, forecasts, scenarios, reporting). This pairing is best when you need faster decision cycles and governance you can defend.
âś… Before You Begin
Before you run a capital budgeting process, decide your evaluation standards: what constitutes “approved,” who signs off, and what metrics matter (payback window, cash impact, capacity constraints, strategic value). Gather:
- Tally baseline actuals for the affected area (cost lines, revenue lines, timing patterns)
- The project scope: start date, ramp profile, and dependencies
- Resourcing constraints: headcount, supplier lead times, operational limits
- Measurement plan: how you’ll track results and budget variance post-launch
Also choose whether you’re building one-off analysis or a repeatable investment pipeline. If you want to keep data flows clean and consistent between systems, start with Integrations [042]. Finally, assign ownership for assumptions; unowned benefits claims are the #1 reason capital projects disappoint.
You’re ready if… you can export the baseline from Tally, you have a named owner for benefits, and you’ve agreed the decision metrics and governance path.
🧩 Step-by-Step Instructions
Step 1: Define the workflow and success criteria.
Start with the “why” and the measurement plan. The core of capital budgeting is agreeing what success looks like before money is spent. Define the objective (cost reduction, growth, compliance, capacity), the time horizon, and the decision metrics: project ROI, payback timing, margin impact, or risk reduction. Create your project budget template structure: baseline (from Tally), incremental costs, incremental benefits, and timing assumptions. Then define accountability: who owns costs, who owns benefits, and who validates results. This step prevents “optimism spreadsheets” and ensures the project is built for auditability. If stakeholders keep asking what is capital budgeting, anchor them on this: it’s a process that makes investment outcomes measurable.
Step 2: Extract/connect the data cleanly.
Export the baseline from Tally: the cost lines and revenue lines the project will touch, plus any balance-sheet items (inventory, capex, receivables timing) that change cash reality. In Model Reef, keep the baseline as a locked reference layer, then model incremental project impacts separately. This makes it easy to track budget variance later: “what changed vs baseline” and “why.” If your team needs more automated or robust pipelines between datasets and models, Deep Integrations is worth exploring as you scale to multiple projects and recurring refresh cycles. Run sanity checks early: reconcile totals, confirm periods align, and ensure you’re not mixing cash and accrual definitions unintentionally.
Step 3: Map and reconcile (lock the source of truth).
Map baseline accounts into decision categories that stakeholders understand: controllable opex, non-controllable opex, revenue drivers, and timing items that affect cash. Reconcile the mapped baseline back to the raw export so your investment case is defensible. This is where many project cases fail: the “baseline” is fuzzy, so the “benefit” becomes a debate. Establish naming standards so cases are comparable (Project A vs Project B) and ensure your project budget template has consistent sections across all cases. Once the baseline is locked, you can build scenarios confidently without re-litigating history.
Step 4: Build the model logic + outputs.
Build two to three scenarios: base, upside, downside. Your base case should be conservative and realistic; your downside should explicitly model timing risk and benefit slippage. Turn assumptions into drivers: ramp curves, unit cost reductions, capacity utilisation, price changes, or churn improvements. Then structure outputs so decision-makers can see the trade-offs: project ROI, payback, cash impact by month, and the top drivers. If you want to see how Model Reef presents scenarios and outputs in a practical workflow, See it in action. Keep the model readable: one baseline, one incremental layer, one set of outputs.
Step 5: Operationalise: cadence + governance.
After approval, run the same discipline post-launch: refresh actuals, compare to baseline, and explain budget variance with a short narrative (timing, volume, price, execution issues). Establish a cadence: 30/60/90-day review, then quarterly until benefits stabilise. This is where capital budgeting becomes a compounding advantage-your organisation learns what assumptions were reliable and which were not. Capture “assumption accuracy” to improve future cases and reduce political debates. The goal is not perfect prediction; it’s better decision quality and faster iteration with measurable accountability.
🧪 Example
A distribution business is considering a warehouse automation upgrade. Finance exports historic labour, rent, and pick/pack error costs from Tally and uses them as the baseline in Model Reef. They build a project budget template with incremental capex, implementation costs, and expected labour savings over 18 months. In the downside scenario, the project ramps slower and savings begin later; in the upside, error reduction improves refunds and repeat purchase. The final output shows project ROI and payback timing alongside cash impact, plus a simple “driver sensitivity” view that highlights the assumptions that matter most. Post-launch, they track budget variance monthly and update stakeholders with a short, consistent narrative.
🚀 Next Steps
You now have a practical how to workflow for building a defensible capital budgeting process from Tally actuals-one that turns decisions into measurable outcomes, not just spreadsheets. Your next step is to run one full project cycle end-to-end: baseline → case → scenario outputs → approval → post-launch variance review. If you do that once with discipline, your second and third projects will be faster and more accurate because you’ll know which assumptions your business can actually deliver.
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