Built on the SAVE International Job Plan

Better value,
by design.

ValueM runs the whole value-management study — from the first workshop to the savings you actually bank. Set out what a project must do, cost what it does, and find the alternatives that deliver the same function for less over its whole life.

No sign-up · runs in your browser · no API key required
A specialist at every stage

Expert judgement, all the way through.

Framing the brief, costing the work, ranking the ideas, banking the savings — each stage of the study has a specialist perspective checking your work: are the objectives measurable, is the function over-priced, was every idea scored fairly, will the accepted proposals actually get delivered?

Eleven agents — Scout, Analyst, Cartographer, Provocateur, Referee, Engineer, Storyteller, Steward, Sentinel, Auditor and the Navigator — continuously assess every phase of the SAVE Job Plan and report findings like ranking instability, unmitigated risks and unrealized savings.

Agent mesh · live
Unified score 82
ScoutPre-Study agentattention
Launch gate: 5 of 6 checks green — seed the risk register.

Every read above is worked out on your own study, right in the browser — no API key required.

From brief to bank

Trace every saving back to the function it improves.

Value management only counts when the money lands. ValueM follows the line from a costed function, to the idea that reimagined it, to the proposal, to the action that realised the saving — so nothing you approve quietly falls through the cracks.

The golden thread traces every dollar through seven stages: baseline modelled (14 cost elements, $25.3M), cost allocated to functions (96%), functions covered by ideas (11 of 12), ideas evaluated (38 of 42), ideas developed into costed proposals (8), value approved (5 accepted, $2.4 million) and value realized ($1.62 million banked).

Function
Start with function
Value begins with what a project must do, not what it happens to be made of. Every cost is weighed against the job it actually performs.
Whole-life
Cost the whole life
The cheapest thing to build is often the dearest to own. Decisions weigh capital, operating and end-of-life cost together, not just first cost.
Team
Bring the whole room
Value comes from a multidisciplinary team challenging each other in a structured workshop — the surveyor, the engineer, the operator, the client.
Savings
Prove the saving
A study only counts when the money lands. Every accepted proposal is followed from the decision through to the saving actually realised.
Everything joined up

Your whole study, connected.

Cost pays for functions, functions invite ideas, ideas become proposals, proposals become results. ValueM keeps those links live, so you can always answer 'why is this here, and what does it change?' — without digging back through spreadsheets.

Cost item
Deck & finishes
$5.4M baseline
Function
Resist load
34% of allocated cost
Idea
Pre-cast deck panels
SCAMPER · substitute
Proposal
VE-07 · Pre-cast deck
−$780K · NPV +$1.2M
Action
Owner: structures lead
$780K realized · done

Follow any decision back

Pick any proposal and walk its whole story — the idea it came from, the function it improves, the cost it targets — right down to the action that banked the saving. The audit trail writes itself.

Catch the gaps

It spots what a flat list hides: an expensive function nobody's had an idea for, an idea that went nowhere, an accepted proposal with no one assigned to deliver it. Each gap is where value quietly leaks away.

Know where you stand

A single, honest read of how joined-up the study really is — brief to savings. Leave a link broken and it shows, until someone on the team closes the loop.

The methods you already trust

Every value-engineering technique, in one place.

Function analysis and FAST, cost-worth and Mudge, weighted evaluation and Pugh, life-cycle costing, probabilistic Monte-Carlo, decision trees, earned-value and carbon — the established methods of value engineering, all working off one shared model of your project.

The tool studio

70+ tools, zero silos — every one feeds the same intelligence core.

No tool is standalone anymore: a cost item added here re-scores the value thread, re-ranks your next best actions, and briefs the agents — everywhere, instantly.

FAST diagramHouse of Quality (QFD)Kano modelCost / Worth bubbleCost allocationMudge / NERFCW Value IndexCost modelWBS / CBS hierarchyValue Stream Map · PCE / RTYInfluence diagramPareto 80/20Should-cost build-upMonte-Carlo (triangular)Iman-Conover correlationsAI cost estimatorIdea boardDot-votingSCAMPERTRIZ contradiction matrixAffinity clusteringMind mapAI ideation per functionAI auto-clusterWeighted scoringPugh matrix · auto-promotePaired comparisonAHP · Saaty + CRTOPSISVIKORAI criteria suggestionProposal cards · AI pros-consLife-Cycle Cost · NPV / IRRMIRR · Profitability IndexEquivalent Annual CostDiscounted paybackWACC calculatorInflation / escalationSensitivity tornadoPerformance/Cost scatterEffort / Impact 2×2Dependency graphScenario sandboxCombined-savings Monte-CarloDecision tree · EMV + VOIReal options · Black-ScholesNPV(r) discount sweepSustainability + Carbon budgetProcurement packagesRisk register · FMEAAI risk clusteringResidual risk · L×IRisk-adjusted savingsApproval workflow · sign-offsCharterPower/Interest matrixStakeholder categoriesRACISWOTDecision logWorkshop agenda + timerWorkshop scriptTranscript digestAI workshop debriefSector KPI presetsAction registerImplementation GanttAction kanbanCritical Path MethodEVM · CPI / SPI / EAC / VACEarned Schedule · SPI(t)Cash-flow S-curveAI implementation planLessons learned + AI summaryICS calendar exportAudit logSnapshotsCross-study comparePortfolio heatmapVECP · per-proposalVECP package PDFPrint/PDF reportSlide deck (16:9)CertificatesCSV in/outPhase Markdown notes@-mention commentsChange requestsAttachmentsShowcase tourVote modeShare linkCommand paletteMulti-language EN/ES/FR/中文
Try it

Map what a project must do.

Click two functions to link them — the same How-and-Why logic a workshop draws on the wall. Function analysis is where value engineering finds the cost that isn't earning its keep.

Click a box, then click another to add or remove an edge.
Span GapbasicResist LoadsecondaryConvey TrafficsecondaryWithstand Saltrequired-secondaryLimit Disruptionrequired-secondaryProvide Lightingrequired-secondary
2 edges · functions are coloured by class · this is the same engine as the platform's FAST canvas.
Cost with confidence

See the range, not just the number.

Real costs are ranges, not single points. Drag the estimate and watch the spread of outcomes shift — the same probabilistic costing ValueM runs across your cost model and every proposal.

Deterministic
$25.30M
Mean (μ)
$25.33M
P50
$25.34M
P80
$26.21M
P90
$26.68M
Uncertainty per element±20%
$21.90M4,000 iterations · triangular distribution$28.95M
The Job Plan

Eight phases — every tool exactly where you'd reach for it.

Every phase in order — with the tools that live inside it.

01
Phase
Pre-Study

Frame the study, the team and the stakeholders before the workshop opens.

CharterTeam & RACIStakeholder matrix · 8 categoriesSWOTRisk register · FMEASector KPI presetsAgenda + timerWorkshop scriptAudience tags
02
Phase
Information

Baseline the cost from drivers up and surface waste in the process flow.

Cost modelWBS / CBS hierarchyValue Stream Map · PCE / RTYInfluence diagramPareto 80/20Should-cost build-upMonte-Carlo · Iman-ConoverAI cost estimator
03
Phase
Function Analysis

Express the project as verb-noun functions, score them, and link them in a FAST diagram.

"Verb + noun" functionsFAST canvasCost / Worth bubbleMudge / NERFCW Value IndexHouse of QualityKano
04
Phase
Creative

Defer judgement; generate, cluster, amplify and visualise alternatives.

Idea boardDot-votingSCAMPERTRIZ contradiction matrixAffinity clusteringMind mapAI ideation per functionAI auto-cluster
05
Phase
Evaluation

Six MCDA methods to score, rank and short-list ideas — including consistency-checked AHP.

Weighted scoringPugh matrixPaired comparisonAHP · Saaty + CRTOPSISVIKORAI criteria suggestion
06
Phase
Development

Full cost, risk, life-cycle, decision-tree and sustainability analysis.

Proposals · AI pros-consLCC · NPV / IRR / MIRRPI · EAC · WACCDiscounted paybackNPV(r) discount sweepSensitivity tornadoDecision tree · EMV + VOIReal options · Black-ScholesCombined-savings MCCarbon budgetProcurement packages
07
Phase
Presentation

Submit with full sign-off chain — narrative, slide deck, VECP and report.

Approval workflow · sign-offsAI VECP narrative writerRisk-adjusted savingsAI red-team reviewAI workshop debriefSlide deck (16:9)Per-proposal VECPVECP package PDFPrint/PDF report
08
Phase
Post-Study

Track every accepted proposal with industry-standard PMI metrics.

Action registerGanttKanbanCritical Path MethodResource loading + levelingEVM · CPI / SPI / EAC / VACEarned Schedule · SPI(t)Cash-flow S-curveAI implementation planLessons + AI summary
For everyone running VM

Student, professional, educator, or policy maker — set the right expectations.

Tag your study with an audience and the platform tunes its defaults — every tool stays available to everyone.

Student

Learning the SAVE Job Plan

  • Fully-populated coastal-bridge sample to learn from
  • Glossary with formulas — Mudge, AHP CR, TOPSIS, EVM
  • Showcase tour walks all 8 phases end-to-end
  • AI drafts functions, ideas, risks, SWOT, TRIZ adoption
Professional

Running a real workshop

  • FAST + Mudge + FCW + AHP/TOPSIS/VIKOR + Pugh
  • LCC NPV/IRR/MIRR/PI/EAC/WACC + correlated Monte-Carlo
  • Decision tree EMV/VOI + risk-adjusted savings
  • EVM + Earned Schedule + CPM + S-curve + sign-off chain
Educator

Teaching VM

  • Open the showcase tour on a shared screen — no signup
  • Multi-language UI (EN / ES / FR / 中文) with live AI translation
  • Sample sector templates for infrastructure, pharma, software
  • Glossary doubles as course reference (export / link out)
Government

Policy & public-sector review

  • Approval workflow with full sign-off chain in the audit log
  • Carbon budget · embodied + operational + horizon roll-up
  • Should-cost build-up flags items where baseline is suspect
  • Stakeholder matrix surfaces regulators, funders, communities

Run a value study that pays for itself.

Start from a blank study, a sector template, or the worked coastal-bridge example — and see where the value is hiding.

Open ValueM →