Every project, with the reason it is off
Projects by client, each with its status and its worst reason in plain words, such as “a fixed fee worth less by the hour every week” or “bills less than the schedule says”.
One forecast across sales, delivery and finance, built from your own systems. Then everything that can be shown won’t hold comes off it, each reason named, each with a fix and an owner. What is left is Expected: the number to run the quarter on.
Q3 revenue, an example
Q3 is expected at $11.0M against a budget of $12.0M, $1.0M short. The forecast says $12.4M.
$1.0M short of budget
What the firm committed to.
What the numbers say if every assumption holds, built up from pipeline, projects, people and schedules.
The forecast, minus everything that can be shown won’t hold.
What happened.
Most forecasting tools put the forecast next to the budget and tell you you’re fine. Petalo puts Expected next to the budget. The gap between them is made of named reasons: rules your firm can read and switch on or off, such as people booked over their approved leave, a project burning hours faster than its scope, clients that bill less than they are scheduled for, and won work nobody is staffed on yet.
Expected is never the forecast multiplied by a confidence factor. It is worked out again against what your people, your contracts and your clients can actually do, and each reason carries its own fix.
One forecast across pipeline, projects, people and finance, built from the systems you already run.
Where the quarter is off and why, in sentences worked out from the numbers.
Leadership takes or declines each proposed move. A move that is taken gets an owner and a date.
The moves and their tasks go to the people who own them.
When the month closes, each decision is scored against what actually happened.
Screens from Petalo, showing a fictional sample firm. Every client, person and number in them is invented.
Projects by client, each with its status and its worst reason in plain words, such as “a fixed fee worth less by the hour every week” or “bills less than the schedule says”.
Proposed moves grouped by the lever they pull, with the value at stake, in the order the firm has said matters most. Each one is decided, watched, followed through and, in the end, given a verdict.
Her panel opens next to whatever is on the screen and starts from it: here, how much of their scheduled time each person actually delivered.
Petra answers questions about the firm’s numbers in sentences, by voice or text, and shows where each number came from. She never calculates a number herself. The engine does, and she explains it.
Petra
Q3 is expected at $11.0M against a budget of $12.0M. Most of the gap is won work nobody is staffed on yet ($0.5M) and a fixed-fee project burning hours faster than its scope ($0.4M). Staffing the won work before it starts would close half of it.
From the Q3 forecast and its four named reasons.
Any firm can now point an AI model at its CRM and ask it questions. What it can’t ask is what the firm believed three weeks ago, or whether last month’s decisions worked. Nobody kept that. Petalo keeps it from the first week.
The forecast minus only what can be shown won’t hold. Each reason is a named rule your firm can read, switch on or off, and act on.
Petalo keeps the schedule, the pipeline and the forecast as they stood each week, which most source systems overwrite. So you can see what moved, and how good the forecast has been.
Every move has an owner, a date and, once the month closes, a verdict. Over time that record becomes the firm’s own track record.
One definition for each number, reconciled to your source files at every close. Restricted data, such as pay, stays out of the assistant’s reach.
Every week a firm runs Petalo adds to a history that cannot be recreated later.
Partner-led consulting and systems-integration firms first, especially those selling fixed-fee or outcome-based work, where a missed quarter hurts most.
It is built for the CEO or managing partner, the head of delivery, practice leads, the head of sales and finance. It reads exports from the systems you already run for delivery, sales, finance and people, and replaces none of them.
Tell us about your firm and we will set up a conversation. Or write to info@petalo.ai.