Forecasting
One definition of your forecast categories, the evidence each requires, and how a human override is reconciled with the system's view. Categories get interpreted privately, team by team, until someone has to reconcile the rollup. Your GTM system's memory holds the evidence bar for each category, applied continuously, with any disagreement made visible.
The moments a forecast is called, and what backs it
Everyone agrees what commit means until you ask two managers to define it. The gap between those two answers is where most forecast pain actually lives.
01 | The Current Way
02 | AI Added On
03 | AI-Native
A rep sets a category
The same word, different bars
Commit means one thing on one team and something looser on another. The rollup adds them together anyway.
A probability instead
The model replaces 'Commit' with a probability, say 73%. It has no idea your team's rule is that nothing under 80% gets called Commit.
Category with stated evidence
Every territory uses the same evidence bar to call a deal 'Commit', so when the numbers roll up, they add together instead of stacking five different definitions of the same word.
The system and the rep disagree
Seniority settles it
A VP overrides the rep's gut call on a pipeline review, and nobody writes down whether the VP was right three months later.
A flag, not a conversation
The forecasting tool flags the deal red. It does not say the champion has gone quiet for three weeks, so the rep has nothing to actually go and fix.
The gap is made explicit
The rep says the deal is closing. The system says a quiet champion for three weeks is driving the risk score. One reply from the champion would close the gap.
A manager overrides the call
The override vanishes
A judgement call gets made and the reasoning stays in the manager's head.
No mechanism to record it
The prediction is regenerated next week as though the override never happened.
Overrides are expected
Overrides are expected, recorded with their reason and reconciled against outcomes, because leaders own the commitment.
The forecast call is prepared
Reconstructed the night before
Hours spent rebuilding why deals moved, from CRM changes and memory.
Summarised, not evidenced
A neat account of what changed. It still cannot say which deals failed a stated evidence requirement.
Movement is already explained
Assessment runs continuously against Deal State, so each move carries the evidence that triggered it and nothing needs rebuilding.
The quarter closes
The 80% bar never gets checked
Win rate gets reviewed every quarter. Whether 80% was ever the right cutoff for Commit never does.
A sharper model, same cutoff
The model gets more accurate at predicting deals. Nobody checks whether 80% is still the number that actually separates Commit from Best Case.
Results reset the cutoff
Closed and lost deals show whether 80% still separates Commit from Best Case. Sales leadership approves the new cutoff before it changes what counts as Commit.
Capabilities that reason with this memory
Sales
Pipeline Review
Sales
Deal Health
Sales
Daily Brief | Sales
One system that understands, decides, acts and learns.
Every GTM signal flows through an AI-native operating layer into a system that runs on the surfaces your team already uses.
Explore the GTM System →Deal & Account State
Stakeholders
Risk & Health
Pipeline & Forecast
Campaign Planning
Renewals & Expansion
Meeting Prep
CRM Updates
Alerts & Escalation
Upgrade Messaging
Upgrade Playbooks
Upgrade Forecasting
SEE WHY REVOPS + MARKETING LEADERS CHOOSE REVENUE LABS
The GTM teams that learn fastest will win. Build yours a system that learns.
An advantage competitors cannot buy back: years of success and failure, codified.
One approved definition of your forecast: the categories, the evidence each requires, the confidence rules, what must be submitted and when, and how overrides are handled. Every capability that touches the forecast reads that definition rather than each carrying its own interpretation.
By defining them in evidence rather than in adjectives. Commit stops being a feeling once the evidence bar states exactly what must be true to claim it, and the assessment applies that same test to every deal in every territory.
Predicting harder does not help. A close probability does not tell a manager which evidence is missing or what would change the call. The useful contribution is applying the evidence bar continuously to live deal evidence, showing where the system and the seller differ, and naming what would resolve it.
Yes, and the rules should say so explicitly. Leaders own the commitment, so an override is legitimate rather than a failure of the model. What matters is that it is recorded with its reasoning and reconciled against the outcome, so judgement becomes evidence too.
Sales process defines how a deal should progress and what each stage requires. Forecasting decides what you will call that deal and commit to, given where it actually is. A deal can sit correctly at a stage and still fail the evidence bar for the category a rep has chosen.