The business case

Illustrative demo
Check our math

Two levers, one formula each

Every lever is your scale metric times a benchmark rate times a unit cost. Each input says whose number it is. Change one and the range moves.

Total modelled value a year
$2.16M to $4.82M

The sum of the 2 levers below, at each scenario.

Expected
$3.61M
The figure we lead with
$2.16M conservative$4.82M upside

Where the value sits

Your service flow as we understand it from the outside, and what each step is worth once the levers below are applied to it.

Call intake
96,000Calls per year
Pass-through, no lever here
Triage and diagnosis

Triage sees the fault description, rarely the machine history.

$1.34M37%
  • Visits avoided by better triage$1.34M
Dispatch and scheduling

Parts are chosen at dispatch, so a wrong guess becomes an expedite.

$1.80M50%
  • Visits avoided by better triage$1.34M
  • Expedite freight recovered$464K
Parts and warranty

Premium freight catches up with a van that left without the part.

$464K13%
  • Expedite freight recovered$464K
Expected a year$3.61M2 levers, added up.
What we would change
Visits avoided by better triage
$2.68M
Acts on Triage and diagnosis, Dispatch and scheduling
See the math
What we would change
Expedite freight recovered
$928K
Acts on Dispatch and scheduling, Parts and warranty
See the math

The top row is your process. The blocks underneath are the changes we would make, and the width of each ribbon is how much of that change lands on that step. A dot marks friction we have heard about. Every figure is the levers multiplied out, so nothing on this map is typed in by hand.

The steps are inferred from public sources and the benchmark set. What each step is worth is not a separate estimate: it is the levers below, split across the steps they act on.

Visits avoided by better triage

Agentic Workflow Execution

An agent reads the machine history at triage, not only the fault description, and closes the calls that never needed a van.

$2.68M
Expected a year
$1.61M to $3.62M
96,000 visits
Field visits per year
Theirs
×
9%
Share closable at triage
Benchmark
×
$310
Fully loaded cost of a visit
Benchmark

Expedite freight recovered

Supply Chain and Fulfillment Transformation

Parts demand is shaped before dispatch, so fewer parts move at premium rates to catch up with a van.

$928K
Expected a year
$557K to $1.21M
$12.40M
Annual expedite freight spend
Theirs
×
34%
Share driven by service dispatch
Benchmark
×
22%
Recoverable share of that spend
Our delivered ratio

Where every number came from

Every figure above cites one of these. Here is the whole register: what we used, when it was true, and which part of the arithmetic it feeds.

How a number reaches a lever
Sources4
Lever inputs they feed6
Levers they produce2
Your data and public sourcesWhat we would buildPoint at a box, or tap one, to light the path a number travelled.
SourceAs ofFeeds these inputsWhose number
Siemens annual report, service segment volumesFY2025
  • Field visits per year in Visits avoided by better triage
  • Annual expedite freight spend in Expedite freight recovered
Theirs
Public job postings naming the dispatch and warranty stackAug 2026Not used in a lever yetNone yet
Field service benchmark set2026 edition
  • Share closable at triage in Visits avoided by better triage
  • Fully loaded cost of a visit in Visits avoided by better triage
  • Share driven by service dispatch in Expedite freight recovered
Benchmark
Our delivered ratio, three comparable service programmes2024 to 2026
  • Recoverable share of that spend in Expedite freight recovered
Our delivered ratio
Showing 4 of 4 sources

Every row here is a public source or a benchmark, because none of your data has reached us yet. Week 1 of a cycle swaps them for your own extract, and this catalog is where you will see it happen.

None of this is agreed, and we would be surprised if it were all right. Week 1 of a cycle replaces our benchmarks with your data before anything gets built.