LensReading which lens this session carries.

End-to-end outcomes · the gaps between functions

Handoff economics

Six mapped cross-function flows contain 25 handoffs — the moments work stops being one function’s problem and becomes another’s. Each is priced three ways: what the wait costs, what re-keying the same data costs, and what sending it back costs. An outcome is assembled, not recorded. No source system in this estate stamps a single reference across a purchase requisition, the order raised against it and the receipt that closes it, so the chains on these pages were stitched together after the fact. Where both documents sit in the same source system the chain is keyed and the join is exact. Where it crosses a system boundary the chain is matched on the party, the market, the region and whether the timing is plausible, and it is labeled inferred with its confidence shown. Where the two sides name no party in common the only evidence left is place and timing, and the chain is labeled cohort and confidence is capped low on purpose. A cohort chain is a hypothesis about which documents belong together. Read it as one.

$3.5m
a week, between functions
Handoffs mapped
25
Across six cross-function flows
Human gates
11
Work stops until a person approves; 9 name nobody
With no owner
19
$2.6m a week nobody is accountable for
Actually measured
3 / 25
22 are priced from the flow design, not observed
Mean wait at a boundary
39.5 h
9 of 25 average more than a working week
Items crossing a week
88,872
Scaled from the two percent sample

What the money between functions is actually spent on

$3.5m a week, split three ways

Waiting at the boundary$2.9m · 85%
Items held at a hairline between two functions, priced at the modeled holding rate.
Typed in a second time$323k · 9%
The receiving system does not accept the sending system’s key, so somebody re-keys it.
Sent back for rework$210k · 6%
The receiving function rejected the item and the sending function did it again.
These three are an exhaustive split of the $3.5m: every dollar attributed to a boundary sits in exactly one of them, and no other cost is attributed to a boundary at all. What happens inside a function is not counted here. Cost to serve is modeled from the touches the ledger recorded, not billed from a timesheet. Every touch is priced at 11 minutes of a person at a loaded 58 dollars an hour, and every stage carries 1.10 dollars of system cost and 0.42 dollars of inference. Handoff cost is priced separately: waiting is held at 0.90 dollars an item an hour, rework at 34 minutes, and duplicated data entry at the re-keying minutes recorded against that handoff. Change any of those six rates and every dollar on these pages moves.

By flow

Six flows, and where each one leaks

A flow is a named piece of work that crosses functions on its way to somebody outside the group. The last handoff in each is the one that leaves the group entirely.

Intent to Commitment

5 handoffs · 2 gates · none measured

$704k/wk
MarketingSalesRevOpsLegalFinanceThe customer
MarketingSales
no owner named · modeled
23.6 h$133k
SalesRevOps
Beatriz Salgado · modeled
25.5 h$34k
RevOpsLegal
no owner named · modeled
2.5 d$124k
LegalFinance
no owner named · modeled
43.2 h$201k
FinanceThe customer
no owner named · modeled
36.1 h$211k
1 of 5 handoffs here has a named owner; the other 4 do not. The longest wait in this flow averages 2.5 d.

Supply Disruption Response

4 handoffs · 2 gates · 1 measured

$411k/wk
ProcurementSupply ChainFinanceLegalSite operations
ProcurementSupply Chain
no owner named · measured
34.1 h$175k
Supply ChainFinance
no owner named · modeled
27.7 h$46k
FinanceLegal
no owner named · modeled
3.0 d$117k
LegalSite operations
no owner named · modeled
47.3 h$74k
No handoff in this flow has an owner, so nobody is accountable for the $411k a week it spends between functions. The longest wait in this flow averages 3.0 d.

Hire to Productive

4 handoffs · 1 gate · 1 measured

$717k/wk
HRITAdminFinanceThe line manager
HRIT
Grace Mutiso · measured · disputed
27.7 h$296k
ITAdmin
no owner named · modeled
33.4 h$188k
AdminFinance
no owner named · modeled
31.9 h$167k
FinanceThe line manager
no owner named · modeled
22.9 h$67k
1 of 4 handoffs here has a named owner; the other 3 do not. The longest wait in this flow averages 33.4 h.

Defect to Disclosure

4 handoffs · 3 gates · none measured

$465k/wk
Customer ServiceEngineeringLegalMarketingThe regulator
Customer ServiceEngineering
no owner named · modeled
32.6 h$95k
EngineeringLegal
no owner named · modeled
3.1 d$186k
LegalMarketing
Colm Brennan · modeled
2.2 d$159k
MarketingThe regulator
no owner named · modeled
2.0 d$25k
1 of 4 handoffs here has a named owner; the other 3 do not. The longest wait in this flow averages 3.1 d.

Invention to Investment

4 handoffs · 2 gates · none measured

$693k/wk
R&DLegalEngineeringFinanceThe investment committee
R&DLegal
no owner named · modeled
3.1 d$187k
LegalEngineering
no owner named · modeled
21.3 h$141k
EngineeringFinance
no owner named · modeled
43.6 h$245k
FinanceThe investment committee
Nils Andersen · modeled
31.6 h$119k
1 of 4 handoffs here has a named owner; the other 3 do not. The longest wait in this flow averages 3.1 d.

Source to Settle

4 handoffs · 1 gate · 1 measured

$481k/wk
ProcurementSupply ChainFinanceAI GBSThe supplier
ProcurementSupply Chain
Diego Fuentes · measured · disputed
34.1 h$164k
Supply ChainFinance
no owner named · modeled
34.8 h$141k
FinanceAI GBS
Sofia Kalogeropoulou · modeled · disputed
21.1 h$49k
AI GBSThe supplier
no owner named · modeled
32.9 h$127k
2 of 4 handoffs here have a named owner; the other 2 do not. The longest wait in this flow averages 34.8 h.

Every handoff, priced

25 boundaries, most expensive first

BoundaryFlowItems/wkMean waitp90 waitReworkRe-keyedCost/wkOwner
HRITdisputed
wait observed on assembled chains
Hire to Productive8,90027.7h39.1h8.1%51%$295,817Grace Mutiso
EngineeringFinance
wait modeled from the flow design
Invention to Investment5,51443.6h91.1h5.0%41%$244,962nobody
FinanceThe customer
wait modeled from the flow design
Intent to Commitment5,33236.1h89.3h5.0%49%$211,472nobody
LegalFinance
wait modeled from the flow design
Intent to Commitment4,48243.2h131.2h9.4%45%$200,693nobody
ITAdmin
wait modeled from the flow design
Hire to Productive5,44033.4h91.5h5.4%18%$187,628nobody
R&DLegal
wait modeled from the flow design
Invention to Investment2,54974.8h230.0h5.8%24%$186,904nobody
EngineeringLegal
wait modeled from the flow design
Defect to Disclosure2,61474.7h152.9h4.6%15%$185,628nobody
ProcurementSupply Chain
wait observed on assembled chains
Supply Disruption Response4,80034.1h54.0h4.1%51%$174,751nobody
AdminFinance
wait modeled from the flow design
Hire to Productive5,21931.9h60.8h7.6%12%$167,271nobody
ProcurementSupply Chaindisputed
wait observed on assembled chains
Source to Settle4,80034.1h54.0h4.1%13%$163,913Diego Fuentes
LegalMarketing
wait modeled from the flow design
Defect to Disclosure2,83252.2h143.7h3.0%49%$158,561Colm Brennan
LegalEngineering
wait modeled from the flow design
Invention to Investment5,23621.3h67.5h10.6%29%$141,490nobody
Supply ChainFinance
wait modeled from the flow design
Source to Settle3,82734.8h68.0h15.1%13%$141,287nobody
MarketingSales
wait modeled from the flow design
Intent to Commitment4,90423.6h60.7h7.8%47%$133,464nobody
AI GBSThe supplier
wait modeled from the flow design
Source to Settle3,13232.9h86.8h8.5%64%$126,809nobody
RevOpsLegal
wait modeled from the flow design
Intent to Commitment2,03660.5h124.5h12.3%50%$124,455nobody
FinanceThe investment committee
wait modeled from the flow design
Invention to Investment3,50731.6h82.5h4.6%49%$119,190Nils Andersen
FinanceLegal
wait modeled from the flow design
Supply Disruption Response1,69673.0h155.0h6.1%18%$116,535nobody
Customer ServiceEngineering
wait modeled from the flow design
Defect to Disclosure2,96632.6h93.3h4.1%17%$95,404nobody
LegalSite operations
wait modeled from the flow design
Supply Disruption Response1,53747.3h99.5h9.6%51%$74,013nobody
FinanceThe line manager
wait modeled from the flow design
Hire to Productive2,33922.9h45.7h13.7%54%$66,763nobody
FinanceAI GBSdisputed
wait modeled from the flow design
Source to Settle2,15621.1h47.2h6.6%12%$49,101Sofia Kalogeropoulou
Supply ChainFinance
wait modeled from the flow design
Supply Disruption Response1,37627.7h54.4h8.7%39%$45,553nobody
SalesRevOps
wait modeled from the flow design
Intent to Commitment1,19225.5h71.1h6.0%31%$34,382Beatriz Salgado
MarketingThe regulator
wait modeled from the flow design
Defect to Disclosure48648.0h100.3h11.4%35%$24,915nobody

The re-keying tell

Where no correlation key survives the boundary

$323k a week goes on typing the same data into a second system. That figure is the clearest operational evidence for the limitation stated across this whole layer: the reference a document carries in one system is not accepted by the next one, which is exactly why 22 of these 25 boundaries cannot be timed and why most assembled chains had to be matched on party and timing rather than on a key.
AI GBSThe supplier
64%
FinanceThe line manager
54%
LegalSite operations
51%
HRIT
51%
ProcurementSupply Chain
51%

What is measured and what is asserted

Read this before quoting any figure above

A handoff counts as measured only when at least twenty assembled chains actually cross that boundary in the sampled week, so its wait is a real observation. 3 of 25 clear that bar, carrying $634k of the $3.5m. The other 22 are priced from the flow design and prove nothing about the business.

Volumes are grossed up fifty times from a two percent sample, so 88,872 items a week is a scaled figure, not a count. The holding rate, the rework minutes and the re-keying minutes behind every dollar on this page are modeling assumptions rather than measurements. Cost to serve is modeled from the touches the ledger recorded, not billed from a timesheet. Every touch is priced at 11 minutes of a person at a loaded 58 dollars an hour, and every stage carries 1.10 dollars of system cost and 0.42 dollars of inference. Handoff cost is priced separately: waiting is held at 0.90 dollars an item an hour, rework at 34 minutes, and duplicated data entry at the re-keying minutes recorded against that handoff. Change any of those six rates and every dollar on these pages moves.

The single most expensive boundary is HRIT at $296k a week on 27.7 h of average wait, and it is one of the measured ones. 3 of these boundaries are the subject of an open argument about who owns the delay.

Actions

What is waiting on a person

A handoff is the moment work leaves one function and becomes another function’s problem. Every count below is a handoff where nobody has taken responsibility for what happens in the gap.

Operations

What this desk is allowed to start

A surface that only reports is not operable. This is the work this page can set in motion, and the bound it runs into.

Trigger and bound

This page can price what happens between functions: how long work waits at each of the 25 handoffs, how often it comes back, how often it is typed in twice, and what that costs in a week. It cannot move a handoff, appoint an owner, remove a gate or change a re-keying step. Every rate on the page is a modeling assumption stated on the page itself.

Live observability

What the record shows right now

The weekly cost of the 25 handoffs decomposed into the 3 things that are actually paid for, in dollars, summing to $3.5m: no other cost is attributed to a boundary, and each dollar appears in exactly one bar.

Current distribution

3,470,961 dollars a week

Waiting2,937,53485%
Duplicated entry323,1809%
Rework210,2476%

Is policy and strategy coming to fruition

Whether the written intent is holding here

$3.5m a week is spent between functions rather than inside them, and 19 of 25 handoffs have nobody accountable for it.

Not holding on the record

The doctrine behind the cross-flow layer is that work crossing functions should have one owner for the whole crossing, not two owners for the two halves. Priced against the six mapped flows it is not holding. $2.9m of the $3.5m weekly cost is pure waiting, $323k is the same data being typed in a second time and $210k is work coming back. 19 of the 25 handoffs name no owner at all, including 9 of the 11 human gates, which are the points where the work is deliberately stopped. The measurement is weaker than the finding: only 3 of the 25 handoffs have enough assembled chains crossing them to observe a real wait, so the other 22 are priced from the flow design and prove nothing about the business. Treat the shape as the finding and the dollars as the hypothesis.