Work with models

Model a project end to end. Level 1 answers the delivery question — will it finish on time and on budget — and comes in two flavours: a waterfall schedule network simulated task by task, or an agile delivery flow where a backlog is drained by a throughput resampled from the team’s own history. Either one can start from a worked example that the AI turns into a model, or from your own MS-Project plan or Jira export.

Level 2 asks the harder question: will it deliver the value it was approved for. Thirty-two standard objectives with their targets, gates and stakeholders, producing the probability of project success — so schedule and cost become two objectives among many, not the whole answer.

Level 3 consolidates those same projects into a corporate control layer across entities: registers, period-by-period tracking of forecast against actuals, exception reporting and calibration. It never re-simulates.

A growing catalogue of ready-made Excel workbooks you can download and run today. Each one is a complete quantitative risk model built on the iziRisk Quantum ribbon — distribution functions already wired to the uncertain inputs, Monte Carlo simulation, sensitivity analysis and other QRA techniques — covering cost estimates, schedules, business cases, contingency reserves and operational risk. Open one, replace the inputs with your own numbers, and you have a working model without starting from a blank sheet. Macro-enabled workbooks: enable the ribbon once and every model in the library behaves the same way.

Start from a blank sheet and a sentence. Describe a business problem in plain language — a bid, a budget, a contingency reserve, a make-or-buy decision — and the AI interviews you about what is uncertain and what you are actually deciding, then builds the workbook: the calculation framework, a distribution function on each uncertain input with the reasoning for choosing it, and the outputs worth watching. It runs the simulation and returns charts, a written interpretation and a presentation to download. You keep the Excel file, so the model is yours to adapt, audit and re-run.

Turn a spreadsheet you already trust into a probabilistic one. Upload a finished deterministic model and iziRisk parses the real formulas on the server — not the last cached numbers — then picks the decision output, walks the dependency graph backwards to the hard-coded inputs that actually drive it, and ranks them with a ±10% tornado so you work on what matters. For each one it recommends an iz* distribution with its parameters and the reasoning behind them; you review, override anything you disagree with, and download a new .xlsm where every fixed input has become a distribution function and the rest of your formulas are untouched. Open it in Excel with the iziRisk Quantum add-in and simulate.