A number assembled for the meeting
- CRM snapshot
- Spreadsheet adjustments
- Manager judgement
Holmes · Revenue foresight from Autonomic
A forecast you can repeat. Results you still have time to change.
Holmes turns the evidence in your commercial systems into a methodical, risk-weighted forecast, then keeps showing what is changing, why it matters and where intervention is still possible.
Holmes
SSFounder view
Q3 · Current forecastLiving forecast
Updated 4m agoReported£2.84mTeam submission
Risk-weighted£2.42m−£74k since Friday
Exposure£418kAcross 3 material deals
Original forecast trajectory£2.84mSubmitted plan
Current trajectory gap−£420kAgainst plan
Risk between now and end of month£418kAcross 3 material deals
Opportunity identified between now and end of month£360kStill recoverable
Quarter trajectoryActual performance and the remaining decision window
Original plan Actual Still possible
Elapsed · 57%
Decision window · 43%
£3.0m£1.5m£0Today · day 51
1 Jul30 SepNeeds attention
3Where intervention can still change the result.
H
HOLMES · CHANGED SINCE LAST READNorthstar’s decision process moved outside the agreed sequence.
Legal engagement has not followed the verbal commitment. Similar patterns converted at 31%.
01The weekly reconstruction
The forecast should be a system. Too often, it is a weekly reconstruction.
The team extracts the CRM view, corrects what it knows is wrong, adds spreadsheet logic, asks managers what they believe and negotiates a number everyone can defend. A week later, it starts again.
“The board asks for a number. The CRM gives you one. Your team gives you five explanations.”
01Senior operating time
02Hidden assumptions
03Inconsistent judgement
04Late recognition
05Low comparability
Holmes keeps the method, evidence and movement in one inspectable view.
HHolmes
- 01Read the evidence
- 02Apply visible risk signals
- 03Weight consistently
A number the business can operate
What movedChange since the last read
WhyEvidence behind every flag
Where to actOpen intervention windows
02One method. Visible risk.
Job one
Make forecasting repeatable.
Holmes applies explicit risk signals to the evidence in the CRM and creates a deterministic risk-weighted view. The baseline remains visible and auditable. AI can add a second opinion; it does not conceal the evidentiary assessment.
Read
The relevant CRM evidence
Evaluate
Explicit, visible risk signals
Weight
The forecast consistently
Explain
Every material flag
Compare
The assessment with outcomes
Learn
How to calibrate the next read
03Before it becomes history
Job two
Keep the result influenceable.
Holmes maintains a living view as the evidence changes. It directs attention to what moved, what caused it and where the team can still affect the outcome.
Changed since last read
New decision risk has reduced the weighted position by £74k.
Evidence gap
The verbal commitment has not produced the expected legal engagement.
Intervention window
Two comparable deals recovered when executive alignment happened within five days.
04Inspectable intelligence
Every flag should survive the question: why?
The system should make uncertainty visible. It should not manufacture certainty through polished language.
05One baseline. Different decisions.
One shared view of the evidence. Built for the question each role has to answer.
Secure the mutual next step
06Deployment
Assisted deployment
Start with the forecast system you have.
Holmes is moving from prototype into assisted customer deployment. It is designed to begin with read-only CRM evidence, connect to approved sources as required and remain flexible across approved model environments.
Diagnose · What you receive
Map the forecast you actually run.
Source map, evidence-gap map, risk inventory and priority use case.
Decide whether and where Holmes is warranted. →The number matters
The time left to change it matters more.
See whether your current forecasting process gives the business a repeatable answer, with enough time to act on what is changing.