Net sales
£84,260
+4.1% against fictional plan
VerisAI Ops · Hospitality Edition
Riverside House Hotel
Week ending 6 September · fictional hotel account
0 / 5 tests
Five-minute operator test · Measure clarity, trust, weekly usefulness and willingness to pay.
VerisAI control statusAction required
Two controllable variances need an owner this week.
Next review: Monday- 1CaptureTrusted inputs
- 2DetectMaterial variance
- 3ExplainEvidence and limits
- 4AssignOwner and deadline
- 5VerifyOutcome evidence
Labour cost
31.8%
2.8 pts over 29% target
Recorded waste
£1,840
2.18% of sales
Actions complete
2 / 6
4 actions still open
This week
Priority controls
Labour is above the weekly target
Current inputs put labour 2.8 percentage points over plan.
Recorded waste needs a category check
£1,840 is recorded, but beverage and breakfast waste are not separated.
One maintenance item has no closure note
The walk-in door alarm is assigned, but the day-seven verification is missing.
What changed?
Trading inputs
Adjust the fictional figures to see how the weekly status changes. Nothing is transmitted.
From variance to decision
Profit opportunity scenario
Selected weekly opportunity
£1,468
50% of the current gap to your selected labour and waste thresholds.
Labour target gap£2,361
Current cost versus 29.0% targetWaste threshold gap£576
Recorded waste versus 1.5% triggerThis is a mathematical target-gap scenario, not a promise of savings. Validate causes before changing staffing, purchasing or service.
Evidence first
Input readiness
Two inputs still need checking before treating the scenario as decision-ready.
Evidence-led operational intelligence
VerisAI decision trail
Every recommendation keeps its signal, evidence, reasoning, decision owner and verification test together. This demonstration uses transparent rules; production AI would explain approved data and remain behind explicit permissions.
Material variance detected against the property-selected threshold.
Unreviewed inputs remain visible instead of being hidden by a confident answer.
The system separates calculation, interpretation and operational judgment.
An authorised manager owns any staffing, purchasing or service decision.
Compare hours against forecast and record the day-seven outcome.
Prototype boundary: this is decision support, not an autonomous action, savings promise, financial audit or compliance conclusion.
Accountability
Seven-day action plan
33% complete
The missing operating layer
VerisAI closes the gap between AI insight and verified execution.
Most businesses hold data, decisions, tasks and outcome evidence in different places. VerisAI connects the full control loop—signal, evidence, authority, owner, action and verification—in one decision trail. Hospitality is the first edition, developed with TheWorkingGM systems.
Hospitality Edition
Founder signal
Paul Gavshon is building a new generation of operational business systems.
After more than 30 years in frontline hospitality and complex operations, Paul founded VerisAI to turn practical operating knowledge into scalable software. The model keeps evidence, reasoning, human authority, ownership and verification together—so AI helps teams run the business instead of becoming another black box.
Read Paul Gavshon’s founder profile →VerisAI company brief
A real operating problem. One connected VerisAI solution.
Dashboards show what happened. AI can generate an answer. Task tools assign work. Yet evidence, authority and verified outcomes are usually separated. VerisAI is building the operational-assurance layer that keeps them connected.
Platform thesisAI operational systemsWhy accountable execution needs more than a chatbot or dashboard.
First marketHotel-group operationsThe validation focus for hotel groups operating 5–50 properties.
Strategic pathwayPartners and capitalDesign partners, technology partners and qualified strategic enquiries.
Verified factsPress roomCurrent stage, approved founder bio, story angles and claim boundaries.