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Future Workforce Analytics

Your workforce is the biggest line on the P&L.
It's the only one your board still values by instinct.

HumanCapital CXO® turns a workforce into one defensible number — and shows every step of how that number was reached. Built for boards, CFOs and deal teams.

Patent pending 60+ years of HRA research Designed for ESRS S1 workforce disclosure
The model Stage 1 of 5
RiReward stateP(Ri)ProbabilityEI(cf)External factor avgrDiscount ratenYearsmFactor set size

The full engine runs five stages. Every one of them is shown with its figures, so the result is auditable rather than asserted.

The gap

Boards run a spreadsheet on every asset except the one that matters most.

For organisations that spend more than half their expense base on people, workforce cost isn't a footnote. It's the P&L. Yet it's the one line still managed on narrative: hard to replace, flight risk, strategic hire.

No board would accept that standard for a plant, a patent, or a marketable security. Every other material asset you hold has a value, a depreciation profile and a sensitivity range. Your workforce has a headcount.

2027

The HCM stack is being re-decided

Mainstream maintenance on major legacy HCM platforms is winding down toward the end of the decade, and enterprises are re-choosing their workforce analytics layer as they migrate. Exactly the moment a valuation model gets designed in, or left out.

ESRS S1

Quantified workforce disclosure

EU sustainability reporting requires quantified own-workforce metrics. ESRS S1 does not prescribe a monetary workforce valuation — but the entity-specific narrative sits on top of it, and most companies can produce a policy paragraph where a number would carry further.

40 / 59

Business cases that survived review

Sixty cases built and desk-reviewed; one withdrawn. Of the fifty-nine that remained, forty passed the decision-readiness review into the pilot pack and nineteen were held back — fifteen to rebuild, four restricted. Every case keeps its original number, so nothing quietly disappears.

The method

Twelve components. Three tiers. One number you can defend.

The model is a derivation, not a score. It takes reward, probability and time as inputs and returns a present value, retaining every intermediate figure so the result can be reconstructed by hand.

Tier 1The Core engine

Derives Human Capital Value in five sequential stages (Keller, 2004). Stages 1 to 4 produce E(RVEI); stage 5 applies the internal control factors that complete E(RVBER).

Stage 2 is the stochastic reward-state formulation of Flamholtz (1971); stage 4 the discounting of expected future rewards in Lev & Schwartz (1971). Stages 3 and 5 separate the conditions an organisation cannot control from those it can — a distinction the 1971 models left exogenous.

  1. Reward BaseGross economic reward attributable to the role across the horizon, before any adjustment.
  2. Expected Reward StatesThat reward distributed across the service states the person may occupy, each weighted by its probability P(Ri).
  3. External Control FactorsA multiplier EI(cf) for the share of that expected reward the organisation can realistically expect to retain, given how firmly the person is attached to it — applied as the mean of the declared factor set. Market pull, MP(cf), is scored separately and sits outside the valuation as exposure, never multiplied into value.
  4. Present Value DiscountingEach period t discounted at rate r across horizon n, so the output is a present value rather than a sum of nominal future rewards.
  5. Internal Control FactorsConditions the organisation does control: leadership, structure, retention capability. These can raise or lower the discounted figure, which is why stage 5 may sit above stage 4.

Declared with every run: the horizon and discount rate, the reward-state set and its probabilities, and the external and internal factor sets with their scores. Change any one and the trail recomputes, with the sensitivity range alongside.

Tier 2Five extension modules
  • Multi-Year ProjectionExtends the valuation across a stated planning horizon, each year discounted on its own terms — showing where value accrues, plateaus and falls away.
  • Retention AdjustmentWeights the valuation by the probability that the person is still there to deliver it. A high-value role with a high departure probability is not worth its gross figure.
  • Valuation SensitivityRecomputes across a range for each assumption, so every figure arrives as a band. Answers the board's first question: how wrong would we have to be before this changes the decision?
  • Skill DepreciationApplies a decay function to capability that ages, and prices the cost of not retraining where technical half-life is short.
  • Experience ContributionSeparates the value attributable to accumulated experience from the value of the role itself — paying for a position versus paying for the person in it.
Tier 3Two decision applications
  • Cost of AttritionPrices a departure as value lost, not as a replacement invoice. Fees and onboarding are the visible part; the larger figure is the service that leaves with the person.
  • Deal Liability AdjustmentConverts key-person concentration and post-close attrition into ΔLHR, a quantified position in the equity bridge beside net debt and pension underfunding. See the deal view →

Every component runs at three scopes  |  Individual  |  Team  |  Workforce

What the model does not do

  • It does not predict an individual’s future performance. It values expected service under stated assumptions.
  • It is not a compensation-setting or performance-management instrument, and is not designed to inform decisions about a named individual’s employment.
  • Its inputs are role, compensation band, tenure and organisational factors. It does not take protected personal characteristics, and the pilot runs on mock-up data only.
The calculation trail Illustrative example
01Reward Base2,940,000
02Expected Reward States2,412,400
03External Control Factors2,171,200
04Present Value Discounting1,284,500
05Internal Control Factors1,412,900
Human Capital ValueCHF 1,412,900

One senior role, twelve-year horizon. This is what a client receives alongside the number: every stage, with its figures, so the result can be checked rather than taken on trust.

In a transaction

Every line in the bridge has a number. The workforce has a headcount.

Deal teams price debt, working capital, pensions, litigation and deferred tax down to the franc. Human capital — key-person concentration, post-close attrition, the value that leaves with the people who built the business — arrives as a paragraph in the people section of the report.

Deal Liability Adjustment puts it in the bridge as ΔLHR: a quantified human-capital position, derived the same way as every other adjustment, with the trail attached. It is a deal-pricing and due-diligence estimate — something to negotiate with, not a liability, provision or contingent liability recognised under IAS 19 or IAS 37. Any adjustment needs reconciling against what the forecast cash flows, multiples and discount rate already carry.

Enterprise value
Less: net debtpriced
Less: working capital adjustmentpriced
Less: pension underfundingpriced
Less: human capital liability  ΔLHRquantified
Equity value

Illustrative. ΔLHR is a negotiated deal-pricing estimate subject to transaction-specific review, not an automatically recognised accounting liability.

Pre-signing

What share of enterprise value rests on how many individuals, and what a departure of each would cost. Concentration made numeric.

At the table

A defensible adjustment to argue with, in place of a retention-risk paragraph nobody can price.

Post-close

The same model tracks whether the value assumed in the bridge actually stayed through integration.

The evidence

Sixty years of research behind one auditable number.

A valuation is only as strong as the chain from assumption to figure. Three things carry that chain here.

60+

Years of human resource accounting

The field opens with Hermanson (1964) and Likert (1967). HCV extends the two valuation traditions that follow — Flamholtz (1971) and Lev & Schwartz (1971) — rather than displacing them.

0

Fitted coefficients

No parameter is trained on a dataset or tuned toward a preferred answer. Every input is one you supply or a documented assumption you can change, reported with its sensitivity range.

19

Cases held back

Sixty cases built and run across the three tiers, then desk-reviewed and put through a decision-readiness review that routed nineteen to rebuild or restrict before forty were released. Every discrepancy reconciled and logged against a remediation register. First exercised inside a documented M&A due diligence engagement — where the deal liability adjustment originates.

What we are not claiming yet.

Internal review is verification, not external validation. The forty released cases have not been independently reperformed by a second preparer, the model has not been through academic peer review, and it has not yet been run across a portfolio of independent client populations. All forty run on constructed illustrative figures, not measurements of any real workforce.

The pilot is where the method meets your structure, not where that validation gets done: it runs on mock-up data, so what it can settle is whether the trail is followable, the assumptions are ones you would defend, and the output answers a question you actually have. Participants receive the full derivation rather than a score, and the assumption set is theirs to challenge. If a stage does not hold, we would rather establish that with you than assert otherwise.

Foundational literature Hermanson, R. H. (1964) Accounting for Human Assets. Likert, R. (1967) The Human Organization: Its Management and Value. Brummet, R. L., Flamholtz, E. G. & Pyle, W. C. (1968) ‘Human Resource Measurement: A Challenge for Accountants’, The Accounting Review. Flamholtz, E. G. (1971) ‘A Model for Human Resource Valuation: A Stochastic Process with Service Rewards’, The Accounting Review 46(2). Lev, B. & Schwartz, A. (1971) ‘On the Use of the Economic Concept of Human Capital in Financial Statements’, The Accounting Review 46(1). Reporting context EU ESRS S1 own-workforce disclosure  |  ISO 30414 human capital reporting guidelines. Neither prescribes a monetary workforce valuation; outputs are offered as a supplementary entity-specific management metric, not as a prescribed disclosure or an IFRS-recognised asset. Protection US provisional patent application filed with the USPTO, 22 claims. Swiss trademark registrations No. 855036 (word and device mark, Classes 035 and 042), registered 3 September 2026, and No. 855126, registered 7 September 2026. A provisional application is not an examined or granted patent.

Where it sits

A layer, not a replacement.

HumanCapital CXO® doesn't replace your HRIS or ERP. Those are systems of record — who is employed, at what cost, with what history. This is the valuation layer above them.

The timing is deliberate. With mainstream maintenance for major legacy HCM platforms winding down, the HR stack is being re-decided right now — and the valuation layer is the one still being specified last, if at all.

Now selecting

The pilot programme

We're selecting a small number of companies for the first structured pilot. It runs in a workspace of your own, on mock-up data, so you can test the method before any real population is involved.

  • You uploadA mock-up population shaped like your own — roles, compensation bands and tenure, with no real employees in it. You map the fields once, against your own field structure.
  • You run itThe model runs against that population as often as you want, with the full calculation trail on screen rather than a score at the end.
  • You receiveA full valuation of the population, the complete calculation trail behind it, a sensitivity range in the form a board would see it, and a cost-of-attrition figure for the roles you choose to model.
  • You keepThe results, the trail and the export — and a judgement on whether the method holds up, reached before you commit anything real to it.

Pilot workspaces hold mock-up data only — please do not upload employee records, including records with names replaced by identifiers. Any later evaluation on a real population is a separate agreement, and two-factor authentication is required before one is loaded.

We'll only use these details to contact you about the pilot. Not ready for a pilot? Ask for the product and pilot brief in the field above, or write to office.us@humancapitalcxo.com.

Thank you.

A written confirmation is on its way to your inbox. We'll come back within two working days with the pilot brief and a mutual NDA.